Abstract: SIMD vectors help improve the performance of certain applications. The code gets vectorized into SIMD form either by hand, or automatically with auto-vectorizing compilers. The ...

Abstract: Discontinuous references to memory and misalignment of memory access mode can have great impact on program performance in auto-vectorization. Different target-specific architecture may have ...

@cadam11 I think we should use the vectorization functionality now in the core MJ framework to offer people the ability to auto-vectorize a file or all files in a category. My thought is that: File ...

Autograph first extracts loops and builds dependency graphs capturing instruction semantics and data flow, which are then converted into embeddings by Graph Neural Network. These embeddings are then ...

ただし、多くのオンラインジャッジではコンパイルオプションに SIMD 用のオプションが設定されていないため、明示的に SIMD を利用する場合、インラインアセンブラや intrinsic などを用いる必要があります。 これらの利用は通常のコーディングと比較すると ...

The process to vectorize application code is very important and can result in major performance improvements when coupled with vector hardware. In many cases, incremental work can mean a large payoff ...

The following article is a follow up and a detailed analysis of a problem reported on the Intel® Developer Zone (Intel® DZ) forum1 dedicated to the Intel® C++ Compiler 2. Note: This is not an ...

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 ...