Load the necessary environment variables for the Intel MPI Library and Intel® compiler: For better performance, enable non-uniform memory access (NUMA) on your system and configure to run an MPI process for each NUMA socket as explained below. %PDF-1.5 This performance does not reflect the Introduced by Jack Dongarra, they measure how fast a computer solves a dense n by n system of linear equations Ax = b, which is a common task in engineering. For the TOP500, we used that version of the benchmark that allows the user to scale the size of the problem and to optimize the software in order to achieve the best performance for a given machine. This application note was created to help users who benchmark clusters using HPL to make use of the latest versions of Intel® MKL on Linux platforms. ) Change it to reflect the correct number of CPUs/threads, number of nodes, MPI processes per node, etc.. Intel does not guarantee the availability, functionality, or effectiveness of any optimization on microprocessors not manufactured by Intel. for a basic account. ", "LINPACK FAQ - To what accuracy must be the solution conform? {\displaystyle \lVert \cdot \rVert } ‖ Next step was to test this cluster for LINPACK benchmark. ‖ The accuracy must be such that the following expression is satisfied: ‖ In HPLinpack the size n of the problem can be made as large as it is needed to optimize the performance results of the machine. username It can thus be regarded as a portable as well as freely available implementation of the High Performance Computing Linpack Benchmark. 2 0 obj endobj ‖ Use of the Strassen algorithm is not allowed because it distorts the real execution rate. ��YdS8�R��?��G�d��$r(�$������Ӳ��ޚ��AG�:�g� o��_��[s�Ţ������d�á�����z&;����R��֗ϧJ��!���v�Þvu���< Jack Dongarra, the main driving force behind the LINPACK benchmarks, said that, while they only emphasize "peak" CPU speed and number of CPUs, not enough stress is given to local bandwidth and the network. ( ≤ Certain optimizations not specific to Intel microarchitecture are reserved for Intel microprocessors. �M��>J�x�4b��-�AK|(AS+�"H�0[�B�=S�� �`$���fM4�y=�~m��1a�a���[�b��BK�uA@��ߒ>�g���=���)B���Y_� {@� Its small size and the lack of software flexibility doesn't allow most modern computers to reach their performance limits. Running on a 1P EPYC system: 1) Edit the HPL.dat file to change the Ps line from 4 to 2. b LINPACK 100 is very similar to the original benchmark published in 1979 along with the LINPACK users' manual. �yp�J�Ԟ��� O���~% �\ឲ>�xQe�X}��UƜuN���f��d����]�����as�.�8�F{ *���ڞ��T�R�ۖ�Td�I�%׷����Z�T�K.��y��0,Wqمl�Uj8̩\�b���Ő*;.�����s�GN%2�ëz,�zTB���x���mI�,'�6. [2] The performance of a computer is a complex issue that depends on many interconnected variables. [25], National Center for Supercomputing Applications, "The Linpack Benchmark, TOP500 Supercomputing Sites", "The LINPACK Benchmark: past, present and future", "The NAS parallel benchmarks summary and preliminary results", "LINPACK FAQ - Can I use Strassen's Method when doing the matrix multiples in the HPL benchmark or for the Top500 run?