Abstract: Vectorization has been an important method of using data-level parallelism to accelerate scientific workloads on vector machines such as Cray for the past three decades. In the last decade ...

Abstract: Loop vectorization remains a challenging task. While automatic vectorization from compilers can now handle a wide range of codes, the underlying dependency reasoning tends to fail when ...

In this video from the 2016 Argonne Training Program on Extreme-Scale Computing, James Reinders presents: SIMD, Vectorization, and Performance Tuning. The Argonne Training Program on Extreme-Scale ...

Is low-level programming a sin or a virtue? It depends. When programming for using vector processing on a modern processor, ideally I’d write some code in my favorite language and it would run as fast ...

SIMD Vectorization, related to SIMD vectorization using Intel SSE instructions for matrix-vector and matrix-matrix multiplication.The assignment involves using GCC, understanding SSE intrinsics, and ...

Although a serious engineering challenge, database vectorization delivers orders-of-magnitude performance boosts for a real-time analytics engine such as StarRocks. Here’s how we did it. Improving ...

This package allows programmers to explicitly SIMD-vectorize theirJulia code. Ideally, the compiler (Julia and LLVM) would be able to dothis automatically, especially for straightforwardly written ...

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