[CSEE-colloq] talk: Programming Model for Developing Data Intensive Parallel Applications, 1pm Fri 2/17 UMBC

[Tim Finin]

                            CSEE COLLOQUIUM

            A Scalable, Fault Tolerant Programming Model for
            Developing Data Intensive Parallel Applications

                             Tyler A. Simon
                       Faculty Research Scientist
         UMBC Center for Hybrid Multicore Productivity Research

                1:00pm Friday 17 February 2012, ITE 325b

Future exascale computing systems will have to execute a single
program on the order of 10^8-10^9 individual, low powered processing
elements. These processors need to be fed data efficiently and
reliably through the duration of a parallel computation. The current
methods for explicit message passing between processors provide little
in terms of fault tolerance support and the overheads of system level
and application checkpoint/restart incur unreasonable overheads for
exascale class computing systems.

We propose the development of novel autonomic execution model and an
Adaptive Runtime Resource for Intensive Applications (RRIA), which
improves application reliability, scalability and performance while
freeing the programmer from explicit message passing. Experiments were
conducted to evaluate ARRIA's capabilities on data intensive
applications, those where the majority of execution time is spent
reading and writing either to local or remote memory locations. In our
approach, we focus on managing data movement both on a compute node
and across a cluster of nodes for the application during runtime. We
use a hybrid "threaded data parallel" model in which message passing
is hidden entirely from the programmer and parallel tasks are bundled
and farmed to a dynamic resource pool for execution.

Tyler Simon is a Faculty Research Assistant and PhD student working
for the Center for Hybrid Multicore Productivity Research in the
Computer Science and Electrical Engineering Department at the
University of Maryland Baltimore County (UMBC).  He is also a
computational scientist at the NASA Center for Climate Simulation at
Goddard Space Flight Center.  Tyler is interested in the theoretical
and practical aspects of concurrency and parallel computation in
general. His research is focused on what can be done with the
effective application of distributed, parallel algorithms in high
performance computing environments, particularly in parallel numerical
methods and data movement.

Host: Yelena Yesha
More information: http://csee.umbc.edu/talks