Matrix multiplication and universal scalability of the time on the Intel Scalable processors

被引:1
|
作者
Russkov, Alexander [1 ]
Shchur, Lev [2 ,3 ]
机构
[1] Sci Ctr Chernogolovka, Chernogolovka 142432, Russia
[2] Natl Res Univ Higher Sch Econ, Moscow 101000, Russia
[3] Landau Inst Theoret Phys, Chernogolovka 142432, Russia
关键词
D O I
10.1088/1742-6596/1163/1/012079
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Matrix multiplication is one of the core operations in many areas of scientific computing. We present the results of the experiments with the matrix multiplication of the big size comparable with the big size of the onboard memory, which is 1.5 terabyte in our case. We run experiments on the computing board with two sockets and with two Intel Xeon Platinum 8164 processors, each with 26 cores and with multi-threading. The most interesting result of our study is the observation of the perfect scalability law of the matrix multiplication, and of the universality of this law.
引用
收藏
页数:5
相关论文
共 50 条
  • [21] A performance comparison of matrix solvers on Compaq Alpha, Intel Itanium, and Intel Itanium II processors
    Tan, CJK
    Hagan, D
    Dixon, M
    COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2003, PT 1, PROCEEDINGS, 2003, 2667 : 818 - 827
  • [22] PERFORMANCE OF A PARALLEL MATRIX MULTIPLICATION ROUTINE ON INTEL IPSC/860
    GUTHEIL, I
    KROTZVOGEL, W
    PARALLEL COMPUTING, 1994, 20 (07) : 953 - 974
  • [23] Scalability of Hybrid Sparse Matrix Dense Vector (SpMV) Multiplication
    Page, Brian A.
    Kogge, Peter M.
    PROCEEDINGS 2018 INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING & SIMULATION (HPCS), 2018, : 406 - 414
  • [24] Scalability versus execution time in scalable systems
    Sun, XH
    JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 2002, 62 (02) : 173 - 192
  • [25] ScrimpCo: scalable matrix profile on commodity heterogeneous processors
    Jose C. Romero
    Antonio Vilches
    Andrés Rodríguez
    Angeles Navarro
    Rafael Asenjo
    The Journal of Supercomputing, 2020, 76 : 9189 - 9210
  • [26] ScrimpCo: scalable matrix profile on commodity heterogeneous processors
    Romero, Jose C.
    Vilches, Antonio
    Rodriguez, Andres
    Navarro, Angeles
    Asenjo, Rafael
    JOURNAL OF SUPERCOMPUTING, 2020, 76 (11): : 9189 - 9210
  • [27] A framework for general sparse matrix-matrix multiplication on GPUs and heterogeneous processors
    Liu, Weifeng
    Vinter, Brian
    JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 2015, 85 : 47 - 61
  • [28] Partitioning for Parallel Matrix-Matrix Multiplication with Heterogeneous Processors: The Optimal Solution
    DeFlumere, Ashley
    Lastovetsky, Alexey
    Becker, Brett A.
    2012 IEEE 26TH INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM WORKSHOPS & PHD FORUM (IPDPSW), 2012, : 125 - 139
  • [29] Performance Analysis of a Scalable Algorithm for 3D Linear Transforms on Supercomputer with Intel Processors/Co-Processors
    Lirkov, Ivan
    CYBERNETICS AND INFORMATION TECHNOLOGIES, 2020, 20 (06) : 94 - 104
  • [30] Analytical modeling of matrix-vector multiplication on multicore processors
    Gareev, Roman A.
    Akimova, Elena N.
    MATHEMATICAL METHODS IN THE APPLIED SCIENCES, 2022, 45 (15) : 8769 - 8799