Single Instruction, Multiple Data oor Sjinees
Single Instruction, Multiple Data
en
A technique employed to achieve data level parallelism, as in a vector processor.
Vertalings in die woordeboek Engels - Sjinees
单指令流多数据流
en
A technique employed to achieve data level parallelism, as in a vector processor.
Geskatte vertalings
Vertoon algoritmies gegenereerde vertalings
voorbeelde
Advanced filtering
Voorbeelde moet herlaai word.
b. Multiple Single Instruction Multiple Data (MSIMD) architectures
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Address Threading and Single Instruction Multiple Data (SIMD) Using OpenMP* in the Vienna Ab Initio Simulation Package (VASP)
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How to partition the work for single instruction/multiple data (SIMD) and multithreading.
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Multiple virtual cores can push threadlets into the reorder buffer of a single physical core, which can split partial instructions and data from multiple threadlets through the execution ports at the same time.
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This improved vectorization ratio allows Xbyak to process more data simultaneously with single instruction, multiple data (SIMD) instructions, which more efficiently utilize data parallelism.
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This paper expands those concepts to consider parallelism, both vectorization (single instruction multiple data SIMD) as well as shared memory parallelism (threading), and distributed memory computing.
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Vectorization A key ingredient for good parallel performance on modern hardware is to take full advantage of vector instructions, also known as Single Instruction Multiple Data (SIMD) instruction sets.
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In addition, it still takes full advantage of Single instruction, multiple data (SIMD) instruction sets and, unlike graphics processing unit (GPU)-based solutions, didn't introduce any latency into the system.
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High performance and throughput with support for the latest technology advances in SIMD (Single Instruction, Multiple Data) and SMT (Simultaneous Multithreading) across the full range of IBM LinuxONE and z Systems.
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They offer seamless compatibility with other popular compilers, dev environments, and operating systems, and boost application performance through superior optimizations and single instruction multiple data (SIMD) vectorization, integration with Intel® Performance Libraries, and by leveraging the latest OpenMP* 5.0 parallel programming models.
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While many applications already use features of modern hardware, many more do not extract parallelism in their algorithms, nor do they leverage other new capabilities including larger caches, Single Instruction Multiple Data (SIMD), threading, fabric technology, new file architecture, and nonvolatile memory technology.
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ISPC stands for Intel® SPMD (single program, multiple data) program compiler, and allows developers to easily target multicore and new and future instruction sets through the use of a code library.
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12 sinne gevind in 14 ms. Hulle kom uit baie bronne en word nie nagegaan nie.