Next Generation System Software for Future High-End Computing Systems

Future high-end computers will offer great performance improvements over today’s machines, enabling applications of far greater complexity. However, designers must solve the challenge of exploiting massive parallelism efficiency in the face of very high latencies across the memory hierarchy. We believe the key to meeting this challenge is the design and implementation of new models and languages which address the problems of parallelism and latency on such machines. This paper presents an overview of our ongoing research toward this goal. Specifically, we will develop a suitable program execution model, a high-level programming notation, and a compiler and runtime system based on the underlying models. These are based on our previous work in parallel multithreaded systems, but are suitably enhanced to meet the needs of future high-end computers.

• Type: Conference
• Year: 2002
• Where: IPPS
• Authors: Guang R. Gao, Kevin B. Theobald, Ziang Hu, Haiping Wu, Jizhu Lu, Keshav Pingali, Paul Stodghill, Thomas L. Sterling, Rick Stevens, Mark Hereld
• Keywords: Distributed And Parallel Computing, Great Performance Improvements, IPPS 2002, Massive Parallelism Efficiency, Parallel Multithreaded Systems