The C data parallel language on a shared memory multiprocessor

被引:0
|
作者
Fatni, A
Houzet, D
Basille, JL
机构
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
The image processing applications require both computing and input/output power. The GFLOPS project's aim is to develop a parallel architecture as well as its software environment to implement those applications efficiently. This goal can be achieved only with a real collaboration among the architecture, the compiler and the programming language. This paper investigates the C// on global address space architectures. The main advantage of our paradigm is that it allows a unique framework to express both data and control parallelism We will first present the structure of the GFLOPS machine used to implement this language. The C// parallel language will be presented in the next section, and finally we will evaluate the effectiveness of the mechanisms incorporated in the architecture to implement the high level C// structures.
引用
收藏
页码:51 / 55
页数:3
相关论文
共 50 条
  • [31] TIME WARP ON A SHARED MEMORY MULTIPROCESSOR
    FUJIMOTO, RM
    PROCEEDINGS OF THE 1989 INTERNATIONAL CONFERENCE ON PARALLEL PROCESSING, VOL 3: ALGORITHMS AND APPLICATIONS, 1989, : 242 - 249
  • [32] Multiprocessor shared memory access and rewards
    Paul, JM
    Mickle, MH
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 1998, 335B (04): : 629 - 641
  • [33] Shared memory multiprocessor support for SAC
    Grelck, C
    IMPLEMENTATION OF FUNCTIONAL LANGUAGES, 1999, 1595 : 38 - 53
  • [34] Parallel test pattern generation using circuit partitioning in a shared-memory multiprocessor
    Gil, C
    Ortega, J
    Bernier, JL
    Gil, MD
    APPLIED PARALLEL COMPUTING: LARGE SCALE SCIENTIFIC AND INDUSTRIAL PROBLEMS, 1998, 1541 : 167 - 171
  • [35] SUPPORTING SHARED-MEMORY PARALLEL PROGRAMMING ENVIRONMENT ON A GLOBAL ADDRESS SPACED MULTIPROCESSOR
    ALAGHBAND, G
    CATALUCCI, B
    KALATHIL, R
    SUPERCOMPUTER, 1994, 11 (01): : 24 - 40
  • [36] Parallel algorithms for reduction of a general matrix to upper Hessenberg form on a shared memory multiprocessor
    Kaya, D
    Wright, K
    APPLIED MATHEMATICS AND COMPUTATION, 2005, 165 (01) : 195 - 212
  • [37] ABOUT PARALLEL SOLVERS IN FINITE ELEMENT SOFTWARE, ORIENTED TO SHARED MEMORY MULTIPROCESSOR COMPUTERS
    Fialko, S. Yu.
    OPIR MATERIALIV I TEORIA SPORUD-STRENGTH OF MATERIALS AND THEORY OF STRUCTURES, 2015, (94): : 155 - 171
  • [38] PARALLEL AND VECTORIAL SOLVING OF FINITE-ELEMENT PROBLEMS ON A SHARED-MEMORY MULTIPROCESSOR
    MAGNIN, H
    COULOMB, JL
    PERRINBIT, R
    IEEE TRANSACTIONS ON MAGNETICS, 1992, 28 (02) : 1712 - 1715
  • [39] ParC - an extension of C for shared memory parallel processing
    Ben-Asher, Yosi
    Feitelson, Dror G.
    Rudolph, Larry
    Software - Practice and Experience, 1996, 26 (05): : 581 - 612
  • [40] ParC - An extension of C for shared memory parallel processing
    BenAsher, Y
    Feitelson, DG
    Rudolph, L
    SOFTWARE-PRACTICE & EXPERIENCE, 1996, 26 (05): : 581 - 612