1. Efficient Utilization of SIMD Engines for General-Purpose Processors.
- Author
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Huang, Libo, Wang, Zhiying, Xiao, Nong, and Dou, Qiang
- Subjects
- *
DATA , *COMPUTER software , *COMPUTERS , *SEQUENTIAL codes , *MATHEMATICAL optimization - Abstract
This paper proposes stream model execution (SME), a new architectural technique that supports the efficient utilization of single-instruction multiple-data (SIMD) engines on general-purpose processors. SME adopts lightweight streaming processing as the intermediate representation. This process uses a hardware–software co-design approach to support efficient SIMD compilation and utilization. From a hardware perspective, the micro-architecture of SIMD engines is enabled for stream support to provide the key components to address the limitations of SIMD utilization, such as data rearrangement and non-consecutive memory access. Thus, sequential code can be compiled efficiently through a two-step procedure (i.e. C code → SME C code → vectorized code) and then executed by the SME hardware. Our experimental evaluation shows that SME can outperform previous optimization techniques by an average of 58% for multimedia kernels and 26% for applications. [ABSTRACT FROM AUTHOR]
- Published
- 2014
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