HPC 2017-18 | High-performance computing
Computer Challenge (HPCC) benchmark, sponsored by the US’s DOE, the National Science Foundation and DARPA. It comprises seven tests such as the HLP, Fast Fourier Transform, STREAM and communication bandwidth and latency. Te HPCC benchmark looks at computational performance as well as memory-access patterns. ‘Benchmarks like HPCC, HPL and
HPCG are important and allow users to draw conclusions about the absolute best performance of a system, but they may not be representative of real-world workloads,’ said Henschel. SPEC/HPG benchmarks offer
complementary metrics to HPCG that enable behaviour analysis of whole applications in a more in-depth view of real-world performance. SPEC/HPG benchmarks usually focus on parts of a large system or single nodes. SPEC/HPG maintains three benchmarks
called: SPEC MPI2007, SPEC OMP2012 and SPEC ACCEL. Each of the benchmarks
Benchmarks like HPCC, HPL and HPCG are important and allow users to draw conclusions about the absolute best performance of a system, but they may not be representative of real-world workloads
addresses different ways that scientific applications can be parallelised. SPEC/HPG members include AMD, HPE, IBM, Intel, Nvidia and Oracle, as well as a host of associate universities. SPEC ACCEL contains codes that make
use of accelerators, such as GPUs or specific processors, to speed up performance of scientific applications in fields such as medicine, astrophysics, molecular dynamics, weather and fluid dynamics.
‘All SPEC/HPG benchmarks are
designed to measure the performance of real applications, not just a benchmark kernel or an algorithm. From our point of view, this gives users a more realistic picture of how applications are going to perform on one system compared to another, or how much of an advertised performance boost of a new processor is actually visible in application performance,’ said Herschel. In comparison, HPCC is a benchmark that
uses very low-level benchmark kernels such as HPL and STREAM tests. ‘Tose benchmarks measure only small
parts of what a scientific application would normally need to do during its runtime on a supercomputer. In contrast, SPEC ACCEL contains complete real-world applications, measuring the full execution cycle of a scientific application,’ said Henschel. With computational performance, one of
the most important things to know is how much time is spent accessing each level of memory; including registers, cache, DRAM,
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