A MATLAB compiler for distributed, heterogeneous, reconfigurable computing systems

被引：19
|
作者：
Banerjee, P [1 ]
Shenoy, N [1 ]
Choudhary, A [1 ]
Hauck, S [1 ]
Bachmann, C [1 ]
Haldar, M [1 ]
Joisha, P [1 ]
Jones, A [1 ]
Kanhare, A [1 ]
Nayak, A [1 ]
Periyacheri, S [1 ]
Walkden, M [1 ]
Zaretsky, D [1 ]
机构：
[1] Northwestern Univ, Evanston, IL 60208 USA
来源：
2000 IEEE SYMPOSIUM ON FIELD-PROGRAMMABLE CUSTOM COMPUTING MACHINES, PROCEEDINGS | 2000年
关键词：
D O I：
10.1109/FPGA.2000.903391
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Recently, high-level languages such as MATLAB have become popular in prototyping algorithms in domains such as signal and image processing. Many of these applications whose subtasks have diverse execution requirements, often employ distributed heterogeneous, reconfigurable systems. These systems consist of an interconnected set of heterogeneous processing resources that provide a variety of architectural capabilities. The objective of the MATCH (MATlab Compiler for Heterogeneous computing systems) compiler project at Northwestern University is to make it easier for the users to develop efficient code for distributed heterogeneous, reconfirgurable computing systems. Towards this end we are implementing and evaluating an experimental prototype of a software system that will take MATLAB descriptions of various applications, and automatically map them on to a distributed computing environment consisting of embedded processors, digital signal processors and field programmable gate arrays built from commercial off-the-shelf components. In this paper; we provide an overview of the MATCH compiler and discuss the testbed which is being used to demonstrate our ideas of the MATCH compiler We present preliminary experimental results on some benchmark MATLAB programs with the use of the MATCH compiler
引用
收藏
页码：39 / 48
页数：10
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