Linpack benchmark information code#

To use the non-hybrid code in a hybrid mode, use the threaded version of Intel MKL BLAS, link with a thread-safe MPI (for example: use the If you have a choice, the non-hybrid code may be faster. In some cases, the use of the hybrid mode is required for external reasons. Non-hybrid builds are the default of the source code makefiles provided. You can use the source code to build a non-hybrid version that may be used in a hybrid mode, but it would be missing some of the optimizations added to the hybrid version. If you want to use an MPI version other than Intel MPI, you can do so by using the MP LINPACK source code provided. The hybrid offload binary uses system-specific threading APIs to exploit mixed parallelism. The hybrid offload binary contains the latest optimizations for the Previous Generation IntelР’В® CoreРІвЂћСћ and higher processors, and you are encouraged to use this binary even when the system does not have any Intel Xeon Phi coprocessors. To enable you to offload computations from recent IntelР’В® XeonР’В® processors to between zero and eight Intel Xeon Phi coprocessors, Intel MKL supplies a hybrid offload binary. In addition to supplying certain hybrid prebuilt binaries, Intel MKL supplies some hybrid prebuilt libraries for IntelР’В® MPI to take advantage of the additional OpenMP optimizations. If you want to rely exclusively on MPI for cross-node parallelism and use one MPI process per core, use the non-hybrid build. In general, the hybrid build is useful when the number of MPI processes per core is less than one. If you want to use one MPI process per node and to achieve further parallelism by means of OpenMP, use the hybrid build. Hybrid refers to special optimizations added to take advantage of mixed OpenMP*/MPI parallelism. Hybrid build functionality into MP LINPACK, while continuing to support the previous, non-hybrid build. Although HPL 2.1 is redistributable under certain conditions, this particular package is subject to the Intel MKL license.

Linpack benchmark information software#

The Intel package includes software developed at the University of Tennessee, Knoxville, ICL, and neither the University nor ICL endorse or promote this product. If you are unsure which prebuilt binary to use, start with the hybrid offload binaries, even when the system does not have any IntelР’В® Xeon PhiРІвЂћСћ coprocessors.

Linpack benchmark information free#

The run-time version of Intel MPI is free and can be downloaded from The prebuilt binaries require IntelР’В® MPI library be installed on the cluster. Use the Intel Optimized MP LINPACK Benchmark to benchmark your cluster.

Intel provides optimized versions of the LINPACK benchmarks to help you obtain high LINPACK benchmark results on your systems based on genuine Intel processors more easily than with the standard HPL benchmark.

While the Intel Optimized MP LINPACK Benchmark can be run on both a single node and a cluster, the Intel Optimized LINPACK Benchmark can only be run on a single node.

Intel Optimized LINPACK Benchmark, which is a shared memory (SMP) version of the same benchmark.

LINPACK, the library, which has been expanded upon by the LAPACK library.

Linpack benchmark information full#

The benchmark uses proper random number generation technique and full row pivoting to ensure the accuracy of the results.Р”Вo not use this benchmark to report LINPACK 100 performance. N equal to 1000 because the implementation can be generalized to solve any size system of equations that meets the restrictions imposed by the MPI implementation chosen. You are not limited to solving a number of equations Real*8 precision, measures the amount of time it takes to factor and solve the system, converts that time into a performance rate, and tests the results for accuracy. It solves a random dense system of linear equations ( Ax=b) in The IntelР’В® Optimized MP LINPACK Benchmark implements the Massively Parallel (MP) LINPACK benchmark using HPL code. benchmarks / mp_linpack directory adds techniques to minimize search times frequently associated with long runs. The Intel Optimized MP LINPACK Benchmark provides some additional enhancements designed to make the HPL usage more convenient and to use IntelР’В® Message-Passing Interface (MPI) settings that may enhance performance. To use the benchmark you need be familiar with HPL usage. The Intel Optimized MP LINPACK Benchmark can be used for TOP500 runs (see The IntelР’В® Optimized MP LINPACK Benchmark for Clusters (IntelР’В® Optimized MP LINPACK Benchmark) is based on modifications and additions to High-Performance LINPACK (HPL) 2.1 () from Innovative Computing Laboratories (ICL) at the University of Tennessee, Knoxville.