Empirical modelling of parallel linear algebra routines

被引：0
|
作者：
Cuenca, J [1 ]
García, LP
Giménez, D
González, J
Vidal, A
机构：
[1] Univ Murcia, Dept Ingn & Tecnol Computadores, E-30001 Murcia, Spain
[2] Univ Politecn Cartagena, Serv Apoya Invest Tecnol, Murcia 30203, Spain
[3] Univ Murcia, Dept Informat & Sist, E-30001 Murcia, Spain
[4] Intel Barcelona Res Ctr Intel Labs, Barcelona, Spain
[5] Univ Politecn Valencia, Dept Sist Informat & Computac, Valencia 46022, Spain
来源：
PARALLEL PROCESSING AND APPLIED MATHEMATICS | 2004年 / 3019卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper shows some ways of combining empirical studies with the theoretical modellization of parallel linear algebra routines. With this combination the accuracy of the model is improved, and the model can be used to take some decisions which facilitate the reduction of the execution time. Experiments with the QR and Cholesky factorizations are shown.
引用
收藏
页码：169 / 174
页数：6
相关论文
共 50 条
  • [1] Empirical Modelling of Linear Algebra Shared-Memory Routines
    Camara, Jesus
    Cuenca, Javier
    Garcia, Luis-Pedro
    Gimenez, Domingo
    2013 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE, 2013, 18 : 110 - 119
  • [2] Using experimental data to improve the performance modelling of parallel linear algebra routines
    Garcia, Luis-Pedro
    Cuenca, Javier
    Gimenez, Domingo
    PARALLEL PROCESSING AND APPLIED MATHEMATICS, 2008, 4967 : 1150 - +
  • [3] Automatic optimisation of parallel linear algebra routines in systems with variable load
    Cuenca, J
    Giménez, D
    González, J
    Dongarra, J
    Roche, K
    ELEVENTH EUROMICRO CONFERENCE ON PARALLEL, DISTRIBUTED AND NETWORK-BASED PROCESSING, PROCEEDINGS, 2003, : 409 - 416
  • [4] Processes distribution of homogeneous parallel linear algebra routines on heterogeneous clusters
    Cuenca, Javier
    Garcia, Luis Pedro
    Gimenez, Domingo
    Dongarra, Jack
    2005 IEEE INTERNATIONAL CONFERENCE ON CLUSTER COMPUTING (CLUSTER), 2006, : 511 - 520
  • [5] Performance evaluation of linear algebra routines
    Caron, E
    Desprez, F
    Quinson, M
    Suter, F
    INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS, 2004, 18 (03): : 373 - 390
  • [6] Parallel time integration using Batched BLAS (Basic Linear Algebra Subprograms) routines
    Herb, Konstantin
    Welter, Pol
    COMPUTER PHYSICS COMMUNICATIONS, 2022, 270
  • [7] Reducing the Time to Tune Parallel Dense Linear Algebra Routines with Partial Execution and Performance Modeling
    Luszczek, Piotr
    Dongarra, Jack
    PARALLEL PROCESSING AND APPLIED MATHEMATICS, PT I, 2012, 7203 : 730 - 739
  • [8] A proposal for autotuning linear algebra routines on multicore platforms
    Cuenca, Javier
    Garcia, Luis P.
    Gimenez, Domingo
    ICCS 2010 - INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE, PROCEEDINGS, 2010, 1 (01): : 515 - 523
  • [9] CULA: Hybrid GPU Accelerated Linear Algebra Routines
    Humphrey, John R.
    Price, Daniel K.
    Spagnoli, Kyle E.
    Paolini, Aaron L.
    Kelmelis, Eric J.
    MODELING AND SIMULATION FOR DEFENSE SYSTEMS AND APPLICATIONS V, 2010, 7705
  • [10] Parallel linear algebra software
    Eijkhout, Victor
    Langou, Julien
    Dongarra, Jack
    PARALLEL PROCESSING FOR SCIENTIFIC COMPUTING, 2006, : 233 - 247
12345