ICL Research Profile

HPCG

Overview

The High Performance Conjugate Gradients (HPCG) benchmark is designed to measure performance that is representative of modern scientific applications. It does so by exercising the computational and communication patterns commonly found in real science and engineering codes, which are often based on sparse iterative solvers. HPCG exhibits the same irregular accesses to memory and fine-grain recursive computations that dominate large-scale scientific workloads used to simulate complex physical phenomena.

The HPCG 3.1 reference code was released in March of 2019. In addition to bug fixes, this release positioned HPCG to even better represent modern partial differential equation (PDE) solvers and made it easier to run HPCG on production supercomputing installations. The reference version is accompanied by binary or source code releases from AMD, ARM, Intel, and NVIDIA, which are carefully optimized for the vendors’ respective hardware platforms. The current HPCG performance list was released at SC19 and now features 160 supercomputing entries. HPCG rankings have also been tracked by TOP500.org since June of 2017.

Find out more at http://www.hpcg-benchmark.org

In Collaboration With

  1. Sandia National Laboratories

Sponsored by

  1. National Nuclear Security Administration
  2. The United States Department of Energy

Project Handout