Name
Abstract | ||
|---|---|---|
Using SIMD instructions is essential in modern processor architecture for high performance computing. Compilers automatic vectorization shows limited efficiency in general, due to conservative dependence analysis, complex control flow or indexing. This paper presents a technique to detect SIMDization opportunities, complementing in a more detailed way compiler optimization reports. The method is based on static and dynamic dependence analysis, able to analyze codes not vectorized by a compiler. This method generates user-hints to help vectorize applications. We show on TSVC benchmark the benefits of this approach. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/978-3-642-54420-0_62 | Lecture Notes in Computer Science |
Keywords | DocType | Volume |
SIMDization,performance tuning,dependence analysis | Conference | 8374 |
ISSN | Citations | PageRank |
0302-9743 | 3 | 0.42 |
References | Authors | |
14 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Olivier Aumage | 1 | 160 | 17.10 |
| Denis Barthou | 2 | 238 | 26.14 |
| Christopher Haine | 3 | 6 | 1.15 |
| Tamara Meunier | 4 | 3 | 0.42 |