<html><head><meta http-equiv="Content-Type" content="text/html; charset=us-ascii"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;" class="">[Apologies for multiple posting]<div class=""><br class=""></div><div class=""><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">ScaDL 2022: </span><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">Scalable Deep Learning over Parallel And Distributed Infrastructure - An IPDPS 2022 Workshop</span></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><a data-mce-href="https://2022.scadl.org" href="https://2022.scadl.org/" class=""><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">https://2022.scadl.org</span></a></div><span data-mce-style="font-weight: normal;" class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px;"><br class=""></span><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><strong class=""><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">Scope of the Workshop:</span></strong></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">Recently, Deep Learning (DL) has received tremendous attention in the research community because of the impressive results obtained for a large number of machine learning problems. The success of state-of-the-art deep learning systems relies on training deep neural networks over a massive amount of training data, which typically requires a large-scale distributed computing infrastructure to run. In order to run these jobs in a scalable and efficient manner, on cloud infrastructure or dedicated HPC systems, several interesting research topics have emerged which are specific to DL. The sheer size and complexity of deep learning models when trained over a large amount of data makes them harder to converge in a reasonable amount of time. It demands advancement along multiple research directions such as, model/data parallelism, model/data compression, distributed optimization algorithms for DL convergence, synchronization strategies, efficient communication and specific hardware acceleration.</span></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;"><br data-mce-bogus="1" class=""></span></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">SCADL seeks to advance the following research directions:</span></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">- Asynchronous and Communication-Efficient SGD: Stochastic gradient descent is at the core of large-scale machine learning. Parallelizing SGD gradient computation across multiple nodes increases the data processed per iteration, but exposes the SGD to communication and synchronization delays and unpredictable node failures in the system. Thus, there is a critical need to design robust and scalable distributed SGD methods to achieve fast error-convergence in spite of such system variabilities.</span></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">- High performance computing aspects: Deep learning is highly compute intensive. Algorithms for kernel computations on commonly used accelerators (e.g. GPUs), efficient techniques for communicating gradients and loading data from storage are critical for training performance.</span></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">- Model and Gradient Compression Techniques: Techniques such as reducing weights and the size of weight tensors help in reducing the compute complexity. Using lower-bit representations such as quantization and sparsification allow for more optimal use of memory and communication bandwidth.</span></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">- Distributed Trustworthy AI: New techniques are needed to meet the goal of global trustworthiness (e.g., fairness and adversarial robustness) efficiently in a distributed DL setting.</span></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">- Emerging AI hardware Accelerators: with the proliferation of new hardware accelerators for AI such in memory computing (Analog AI) and neuromorphic computing, novel methods and algorithms need to be introduced to adapt to the underlying properties of the new hardware (example: the non-idealities of the phase-change memory (PCM) and the cycle-to-cycle statistical variations). </span></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">- The intersection of Distributed DL and Neural Architecture Search (NAS): NAS is increasingly being used to automate the synthesis of neural networks. However, given the huge computational demands of NAS, distributed DL is critical to make NAS computationally tractable (e.g., differentiable distributed NAS).</span></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">This intersection of distributed/parallel computing and deep learning is becoming critical and demands specific attention to address the above topics which some of the broader forums may not be able to provide. The aim of this workshop is to foster collaboration among researchers from distributed/parallel computing and deep learning communities to share the relevant topics as well as results of the current approaches lying at the intersection of these areas.</span></div><span data-mce-style="font-weight: normal;" class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px;"><br class=""></span><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><strong class=""><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">Areas of Interest</span></strong></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">In this workshop, we solicit research papers focused on distributed deep learning aiming to achieve efficiency and scalability for deep learning jobs over distributed and parallel systems. Papers focusing both on algorithms as well as systems are welcome. We invite authors to submit papers on topics including but not limited to:</span></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">- Deep learning on cloud platforms, HPC systems, and edge devices</span></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">- Model-parallel and data-parallel techniques</span></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">- Asynchronous SGD for Training DNNs</span></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">- Communication-Efficient Training of DNNs</span></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">- Scalable and distributed graph neural networks, Sampling techniques for graph neural networks</span></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">- Federated deep learning, both horizontal and vertical, and its challenges</span></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">- Model/data/gradient compression</span></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">- Learning in Resource constrained environments</span></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">- Coding Techniques for Straggler Mitigation</span></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">- Elasticity for deep learning jobs/spot market enablement</span></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">- Hyper-parameter tuning for deep learning jobs</span></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">- Hardware Acceleration for Deep Learning including digital and analog accelerators</span></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">- Scalability of deep learning jobs on large clusters</span></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">- Deep learning on heterogeneous infrastructure</span></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">- Efficient and Scalable Inference</span></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">- Data storage/access in shared networks for deep learning</span></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">- Communication-efficient distributed fair and adversarially robust learning</span></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">- Distributed learning techniques applied to speed up neural architecture search</span></div><span data-mce-style="font-weight: normal;" class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px;"><br class=""></span><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><strong class=""><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">Workshop Format</span></strong></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">Due to the continuing impact of COVID-19, ScaDL 2022 will also adopt relevant IPDPS 2022 policies on virtual participation and presentation. Consequently, the organizers are currently planning a hybrid (in-person and virtual) event.</span></div><span data-mce-style="font-weight: normal;" class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px;"><br class=""></span><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><strong class=""><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">Submission Link</span></strong></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">Submissions will be managed through linklings. Submission link available at: <a data-mce-href="https://2022.scadl.org/call-for-papers" href="https://2022.scadl.org/call-for-papers" class="">https://2022.scadl.org/call-for-papers</a></span></div><span data-mce-style="font-weight: normal;" class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px;"><br class=""></span><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><strong class=""><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">Key Dates</span></strong></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">- Paper Submission: </span><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: line-through; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; text-decoration: line-through; text-decoration-skip: none; vertical-align: baseline; white-space: pre-wrap;">January 24, 2022 </span><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;"> </span><span data-mce-style="font-size: 11pt; font-family: Arial; color: #cc0000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; color: rgb(204, 0, 0); font-weight: bold; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">February 07, 2022</span></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">- Acceptance Notification: March 1, 2022</span></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">- Camera ready papers due: March 15, 2022 (hard deadline)</span></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">- Workshop Date: TBA (May 30th or June 3rd, 2022)</span></div><span data-mce-style="font-weight: normal;" class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px;"><br class=""></span><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><strong class=""><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">Author Instructions</span></strong></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">ScaDL 2022 accepts submissions in two categories:</span></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">Regular papers: 8-10 pages</span></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">Short papers/Work in progress: 4 pages</span></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">The aforementioned lengths include all technical content, references and appendices.</span></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">We encourage submissions that are original research work, work in progress, case studies, vision papers, and industrial experience papers.</span></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">Papers should be formatted using IEEE conference style, including figures, tables, and references. The IEEE conference style templates for MS Word and LaTeX provided by IEEE eXpress Conference Publishing are available for download. See the latest versions at <a href="https://www.ieee.org/conferences/publishing/templates.html" class="">https://www.ieee.org/conferences/publishing/templates.html</a></span></div><span data-mce-style="font-weight: normal;" class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px;"><br class=""></span><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><strong class=""><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">General Chairs</span></strong></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">Danilo Ardagna, Politecnico di Milano, Italy</span></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">Stacy Patterson, Rensselaer Polytechnic Institute (RPI), USA</span></div><br class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px;"><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><strong class=""><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">Program Committee Chairs</span></strong></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">Alex Gittens, Rensselaer Polytechnic Institute (RPI), USA</span></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">Kaoutar El Maghraoui, IBM Research AI, USA</span></div><span data-mce-style="font-weight: normal;" class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px;"><br class=""></span><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><strong class=""><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">Program Committee Members</span></strong></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">Misbah Mubarak, Amazon</span></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">Hamza Ouarnoughi, UPHF LAMIH </span></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">Neil McGlohon, Rensselaer Polytechnic Institute (RPI)</span></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">Nathalie Baracaldo Angel, IBM Research, USA</span></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">Ignacio Blanquer, Universitat Politecnica de Valencia, Spain</span></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">Dario Garcia-Gasulla, Barcelona Supercomputing Center</span></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">Saurabh Gupta, AMD</span></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">Jalil Boukhobza, ENSTA-Bretagne</span></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">Aiichiro Nakano, University of Southern California, USA</span></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">Dhabaleswar K. (DK) Panda, Ohio State University</span></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">Eduardo Rocha Rodrigues, IBM Research, Brazil</span></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">Chen Wang, IBM Research, USA</span></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">Yangyang Xu, Rensselaer Polytechnic Institute (RPI)</span></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">Hongyi Wang, CMU, MLD lab</span></div><br class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px;"><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><strong class=""><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">Steering Committee</span></strong></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">Parijat Dube, IBM Research AI, USA</span></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">Vijay K. Garg, University of Texas at Austin</span></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">Vinod Muthusamy, IBM Research AI</span></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">Ashish Verma, IBM Research AI</span></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">Jayaram K. R., IBM Research AI, USA</span></div><div class="" style="font-family: arial, helvetica, sans-serif; font-size: 16px; line-height: 1.38; margin: 0px;"><span data-mce-style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;" class="" style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">Yogish Sabharwal, IBM Research AI, India</span></div></div>
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