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Hardware/Software (HW/SW) co-designed processors have emerged as a promising solution to the power and complexity problems of modern microprocessors. These processors utilize dynamic optimizations to improve the performance. However, vectorization, one of the most potent optimizations, has not yet received the deserved attention. This paper presents a speculative dynamic vectorization algorithm to...
Compiler based static vectorization is used widely to extract data level parallelism from computation intensive applications. Static vectorization is very effective in vectorizing traditional array based applications. However, compilers inability to reorder ambiguous memory references severely limits vectorization opportunities, especially in pointer rich applications. HW/SW co-designed processors...
SIMD accelerators provide an energy efficient way of improving the computational power in modern microprocessors. Due to their hardware simplicity, these accelerators have evolved in terms of width from 64-bit vectors in Intel's MMX to 512-bit wide vector units in Intel's Xeon Phi. Although SIMD accelerators are simple in terms of hardware design, code generation for them has always been a challenge...
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