Abstract
We are faced with an explosion in parallelism at all levels of large scale systems. Multi-core chips have become ubiquitous and almost all large scale systems use them. Systems such as Lawrence Livermore National Laboratory's BlueGene/L and Oak Ridge National Laboratory's Jaguar already have over 100,000 processor cores. The recently announced ASC Sequoia will have over 1.5 million cores when it is deployed in FY12. Los Alamos National Laboratory's Roadrunner system features a heterogeneous node architecture that requires the use of three different compilers to build a single application. Hardware support for other novel parallelism mechanisms, such as transactional memory and thread level speculation, are likely to appear in systems in the near future. Further, future systems are likely to have much less off-chip and off-node bandwidth per core as well as significantly smaller main memories per core. These trends will necessitate significant changes in applications and the development environment that supports them. We will require new mechanisms to target applications to these architectures, to identify and to solve software defects that arise in those applications and to understand and to improve their performance. In this talk, I will detail the overall National Nuclear Security Administration's Advanced Simulation and Computing (ASC) Program's development environment strategy for current and future large scale systems and several novel directions that we are pursuing as part of that strategy.

BIO
Bronis R. de Supinski is the co-leader in the Advanced Simulation and Computing (ASC) program's Application Development Environment and Performance Team (ADEPT) at Lawrence Livermore National Laboratory (LLNL). His research interests include high performance computer architectures, performance modeling and analysis, message passing implementations and tools, memory performance improvement, cache coherence and distributed shared memory, consistency semantics and programming models. Bronis earned his Ph.D. in Computer Science from the University of Virginia in 1998 and he joined LLNL's Center for Applied Scientific Compuiting (CASC) in July 1998. Currently, his projects include applications of data mining techniques to performance analysis and modeling, scalable debugging methods, investigations into mechanisms and tools to improve memory performance, a variety of optimization techniques and tools for MPI and several issues with OpenMP, including its memory model and tool support. He pursues the last set of topics as the Chair of the OpenMP Language Committee. Throughout his career, Bronis has won several awards, including the prestigious Gordon Bell Prize in 2005 and 2006. He is a member of the ACM and the IEEE Computer Society.