配信講義 計算科学技術特論A(2023)(2023年4月13日~7月27日・オンライン) 第11回 6月29日 SIMDの基礎と関数の実装例 https://www.r-ccs.riken.jp/outreach/schools/20230413-1/
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Programmable NVIDIA GPUs are very inspiring to hardware geeks, proving that processors with an original, incompatible programming model can become widely used. NVIDIA call their parallel programming model SIMT - "Single Instruction, Multiple Threads". Two other different, but related parallel programming models are SIMD - "Single Instruction, Multiple Data", and SMT - "Simultaneous Multithreading"
Swift 2 brings updated support for SIMD (Single Instruction Multiple Data). What exactly does that mean? SIMD Primer Each CPU vendor has their own unique snowflake versionº but the premise is the same: process data in parallel chunks. Each SIMD instruction operates on a group of values organized into what are called "lanes". Let's take a typical 128-bit SIMD register. You can load it with four Flo
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