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Titlebook: High Performance Computing for Computational Science – VECPAR 2018; 13th International C Hermes Senger,Osni Marques,Veronica Gil-Costa Conf

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樓主: 阿諛奉承
31#
發(fā)表于 2025-3-27 00:47:50 | 只看該作者
32#
發(fā)表于 2025-3-27 04:50:20 | 只看該作者
Optimizing Packed String Matching on AVX2 Platform in natural language processing, speech processing, computational biology, information retrieval, intrusion detection systems, data compression, and etc. Speeding up the pattern matching operations benefiting from the SIMD parallelism has received attention in the recent literature, where the empiri
33#
發(fā)表于 2025-3-27 08:49:08 | 只看該作者
34#
發(fā)表于 2025-3-27 12:15:14 | 只看該作者
A Systematic Mapping on High-Performance Computing for Protein Structure Predictionsearchers in several areas. However, determining the three dimensional structure is an expensive and a time-consuming taks, even considering the current advances made in High-Performance Computing (HPC) systems. This paper presents a systematic mapping on HPC for PSP problems, aiming to determine: p
35#
發(fā)表于 2025-3-27 13:59:20 | 只看該作者
36#
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發(fā)表于 2025-3-27 22:25:19 | 只看該作者
38#
發(fā)表于 2025-3-28 04:50:37 | 只看該作者
An Improved OpenMP Implementation of the TVD–Hopmoc Method Based on a Cluster of Pointsle Processor architectures. Specifically, this paper evaluates an improved OpenMP implementation of the TVD–Hopmoc method based on a cluster of points when applied to the convection–diffusion equation in 1–D. Aiming at avoiding fine-grained parallelism employed in a basic OpenMP implementation of th
39#
發(fā)表于 2025-3-28 09:49:27 | 只看該作者
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