论文信息 - Data Ensemles in Orca C

Data Ensemles in Orca C

This paper describes Orca C, the first language built on the Phase Abstractions programming model. The focus is on the syntax and semantics of the data ensembles, a parallel data structuring facility to support machine-independent parallel programs. These features are compared with the data decomposition capabilities of other parallel languages, including Fortran D, Vienna Fortran, and Kali.

Lawrence Snyder | Calvin Lin | L. Snyder | Calvin Lin

[1] William G. Griswold,et al. A flexible communication abstraction for nonshared memory parallel computing , 1990, Proceedings SUPERCOMPUTING '90.

[2] Donald Yeung,et al. THE MIT ALEWIFE MACHINE: A LARGE-SCALE DISTRIBUTED-MEMORY MULTIPROCESSOR , 1991 .

[3] Michael Gerndt,et al. Updating Distributed Variables in Local Computations , 1990, Concurr. Pract. Exp..

[4] Allan Porterfield,et al. The Tera computer system , 1990 .

[5] William G. Griswold,et al. Scalable Abstractions for Parallel Programming , 1990, Proceedings of the Fifth Distributed Memory Computing Conference, 1990..

[6] Piyush Mehrotra,et al. Vienna Fortran—a Fortran language extension for distributed memory multiprocessors , 1992 .

[7] Lawrence Snyder,et al. Portable Parallel Programming: Cross Machine Comparisons for SIMPLE , 1991, PPSC.

[8] Steve W. Otto,et al. MetaMP : a higher level abstraction for message- passing programming , 1991 .

[9] Lawrence Snyder. The XYZ abstraction levels of Poker-like languages , 1990 .

[10] Edward W. Felten,et al. Improving the performance of message-passing applications by multithreading , 1992, Proceedings Scalable High Performance Computing Conference SHPCC-92..

[11] Charles Koelbel,et al. Compiling Global Name-Space Parallel Loops for Distributed Execution , 1991, IEEE Trans. Parallel Distributed Syst..

[12] Lawrence Snyder. Applications of the “phase abstractions” for portable and scalable parallel programming , 1992 .