MacroSS: macro-SIMDization of streaming applications

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MacroSS: macro-SIMDization of streaming applications
SIMD (Single Instruction, Multiple Data) engines are an essential part of the processors in various computing markets, from servers to the embedded domain. Although SIMD-enabled architectures have the capability of boosting the performance of many application domains by exploiting data-level parallelism, it is very challenging for compilers and also programmers to identify and transform parts of a program that will benefit from a particular SIMD engine. The focus of this paper is on the problem of SIMDization for the growing application domain of streaming. Streaming applications are an ideal solution for targeting multi-core architectures, such as shared/distributed memory systems, tiled architectures, and single-core systems. Since these architectures, in most cases, provide SIMD acceleration units as well, it is highly beneficial to generate SIMD code from streaming programs. Specifically, we introduce MacroSS, which is capable of performing macro-SIMDization on high-level strea...
Amir Hormati, Yoonseo Choi, Mark Woh, Manjunath Ku
Added 17 May 2010
Updated 17 May 2010
Type Conference
Year 2010
Authors Amir Hormati, Yoonseo Choi, Mark Woh, Manjunath Kudlur, Rodric M. Rabbah, Trevor N. Mudge, Scott A. Mahlke
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