《Parallel Computing》重点专注发布工程技术-计算机:理论方法领域的新研究,旨在促进和传播该领域相关的新技术和新知识。鼓励该领域研究者详细地发表他们的高质量实验研究和理论结果。该杂志创刊至今,在工程技术-计算机:理论方法领域,有较高影响力,对来稿文章质量要求较高,稿件投稿过审难度较大。欢迎广大同领域研究者投稿该杂志。
CiteScore | SJR | SNIP | CiteScore排名 | |||
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3.5 | 0.46 | 0.86 | 学科类别 | 分区 | 排名 | 百分位 |
大类:大类:Mathematics
小类:小类:TheoreticalComputerScience
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Q2 | 54/130 | 58% | |||
大类:大类:Mathematics
小类:小类:ComputerGraphicsandComputer-AidedDesign
|
Q2 | 45/106 | 58% | |||
大类:大类:Mathematics
小类:小类:ComputerNetworksandCommunications
|
Q3 | 207/395 | 47% | |||
大类:大类:Mathematics
小类:小类:ArtificialIntelligence
|
Q3 | 203/350 | 42% | |||
大类:大类:Mathematics
小类:小类:HardwareandArchitecture
|
Q3 | 105/177 | 40% | |||
大类:大类:Mathematics
小类:小类:Software
|
Q3 | 242/407 | 40% |
按JIF指标学科分区 | 收录子集 | 分区 | 排名 | 百分位 |
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学科:COMPUTER SCIENCE, THEORY & METHODS | SCIE | Q2 | 57 / 143 | 60.5% |
按JCI指标学科分区 | 收录子集 | 分区 | 排名 | 百分位 |
---|---|---|---|---|
学科:COMPUTER SCIENCE, THEORY & METHODS | SCIE | Q3 | 83 / 143 | 42.31% |
文章名称
引用次数
Multithreaded sparse matrix-matrix multiplication for many-core and GPU architectures
8
Optimizations of the eigensolvers in the ELPA library
7
Batched QR and SVD algorithms on GPUs with applications in hierarchical matrix compression
7
DVFS-aware application classification to improve GPGPUs energy efficiency
5
Accelerating the SVD two stage bidiagonal reduction and divide and conquer using GPUs
4
Comparing load-balancing algorithms for MapReduce under Zipfian data skews
4
Proteus: Exploiting precision variability in deep neural networks
3
SAGE: Percipient Storage for Exascale Data Centric Computing
3
Manila: Using a densely populated PMC-space for power modelling within large-scale systems
3
Performance optimization, modeling and analysis of sparse matrix-matrix products on multi-core and many-core processors
3





