International audienceUsing 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.L'utilisation des instructions SIMD est essentielle pour obtenir de bonnes performances de calcul sur les p...
Modern CPUs are equipped with Single Instruction Multiple Data (SIMD) engines operating on short vec...
Traditional vector architectures have shown to be very effective for regular codes where the compile...
Traditional vector architectures have been shown to be very effective in executing regular codes in ...
International audienceSIMD processor units have become ubiquitous. Using SIMD instructions is the ke...
Compiler-based static vectorization is used widely to extract data-level parallelism from computatio...
AbstractBasic block vectorization consists in extracting instruction level parallelism inside basic ...
Recent hardware trends with GPUs and the increasing vector lengths of SSE-like ISA extensions for mu...
While industry continues to develop SIMD vector ISAs by providing new instructions and wider data-pa...
SIMD accelerators are ubiquitous in microprocessors from different computing domains. Their high com...
As an effective way of utilizing data parallelism in applications, SIMD architecture has been adopte...
International audienceIn many cases, applications are not optimized for the hardware on which they r...
International audienceIn many cases, applications are not optimized for the hardware on which they r...
International audienceGrowing interest in graphics processing units has brought renewed attention to...
Modern CPUs are equipped with Single Instruction Multiple Data (SIMD) engines operating on short vec...
Traditional vector architectures have shown to be very effective for regular codes where the compile...
Traditional vector architectures have been shown to be very effective in executing regular codes in ...
International audienceSIMD processor units have become ubiquitous. Using SIMD instructions is the ke...
Compiler-based static vectorization is used widely to extract data-level parallelism from computatio...
AbstractBasic block vectorization consists in extracting instruction level parallelism inside basic ...
Recent hardware trends with GPUs and the increasing vector lengths of SSE-like ISA extensions for mu...
While industry continues to develop SIMD vector ISAs by providing new instructions and wider data-pa...
SIMD accelerators are ubiquitous in microprocessors from different computing domains. Their high com...
As an effective way of utilizing data parallelism in applications, SIMD architecture has been adopte...
International audienceIn many cases, applications are not optimized for the hardware on which they r...
International audienceIn many cases, applications are not optimized for the hardware on which they r...
International audienceGrowing interest in graphics processing units has brought renewed attention to...
Modern CPUs are equipped with Single Instruction Multiple Data (SIMD) engines operating on short vec...
Traditional vector architectures have shown to be very effective for regular codes where the compile...
Traditional vector architectures have been shown to be very effective in executing regular codes in ...