Cycle-accurate simulation is far too slow for modeling the expected performance of full
parallel applications on large HPC systems. And just running an application on a system …

This paper presents a performance modeling methodology that is faster than traditional
cycle-accurate simulation, more sophisticated than performance estimation based on system …

Benchmarks that measure memory bandwidth, such as STREAM, Apex-MAPS and
MultiMAPS, are increasingly popular due to the" Von Neumann" bottleneck of modern …

Electrical power has become an important design constraint in high-performance computing
(HPC) systems. On future HPC machines, power is likely to be a budgeted resource and …

The historical context with regard to the origin of the DARPA High Productivity Computing
Systems (HPCS) program is important for understanding why federal government agencies …

Performance projections of high performance computing (HPC) applications onto various
hardware platforms are important for hardware vendors and HPC users. The projections aid …

A systematic study of the effects of complexity of prediction methodology on its accuracy for a
set of real applications on a variety of HPC systems is performed. Results indicate that the …

Networks of workstations offer large amounts of unused processing time. Resource
management systems are able to exploit this computing capacity by assigning compute …

Graphics processing units (GPUs) have become an important platform for general-purpose
computing, thanks to their high parallel throughput and high memory bandwidth. GPUs …

An execution-driven microarchitecture-accurate microprocessor simulator requires a
complex software program. The simulator must be highly detailed and accurate if it is used …