HPCG Benchmark

The High Performance Conjugate Gradients (HPCG) Benchmark project is an effort to create a new metric for ranking HPC systems. HPCG is intended as a complement to the High Performance LINPACK (HPL) benchmark, currently used to rank the TOP500 computing systems. The computational and data access patterns of HPL are still representative of some important scalable applications, but not all. HPCG is designed to exercise computational and data access patterns that more closely match a different and broad set of important applications, and to give incentive to computer system designers to invest in capabilities that will have impact on the collective performance of these applications.

HPCG is a complete, stand-alone code that measures the performance of basic operations in a unified code:

  • Sparse matrix-vector multiplication.
  • Sparse triangular solve.
  • Vector updates.
  • Global dot products.
  • Local symmetric Gauss-Seidel smoother.
  • Driven by multigrid preconditioned conjugate gradient algorithm that exercises the key kernels on a nested set of coarse grids.
  • Reference implementation is written in C++ with MPI and OpenMP support.

New HPCG results announced at ISC16

The new HPCG Performance List will be announced at the ISC16 conference in Frankfurt, Germany.

The session entitled The HPCG Benchmark: Challenges It Presents to Current & Future Systems took place on Tuesday, June 21, 2016 in Panorama 2 Room in Messe Frankfurt.

The presentation from ISC16 includes a summary of all 80 list entries. Detailed results will be posted soon on this website.


HPCG Results announced at SC15

HPCG Results were announced at SC15 in Austin, TX during the HPCG BOF. More details are available at the events page. And the results are available on the results page.


HPCG 3.0 Reference Code available for Download
The reference version of HPCG 3.0 is available. Click on 'Software' to see the features and download the code.

Jul 24 2016 Contact: Admin Login