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Titlebook: Algorithms and Architectures for Parallel Processing; 19th International C Sheng Wen,Albert Zomaya,Laurence T. Yang Conference proceedings

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發(fā)表于 2025-3-21 16:18:45 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Algorithms and Architectures for Parallel Processing
期刊簡(jiǎn)稱19th International C
影響因子2023Sheng Wen,Albert Zomaya,Laurence T. Yang
視頻videohttp://file.papertrans.cn/154/153088/153088.mp4
學(xué)科分類Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Algorithms and Architectures for Parallel Processing; 19th International C Sheng Wen,Albert Zomaya,Laurence T. Yang Conference proceedings
影響因子The two-volume set LNCS 11944-11945 constitutes the proceedings of the 19th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2019, held in Melbourne, Australia, in December 2019.. The 73 full and 29 short papers presented were carefully reviewed and selected from 251 submissions. The papers are organized in topical sections on: Parallel and Distributed Architectures, Software Systems and Programming Models, Distributed and Parallel and Network-based Computing, Big Data and its Applications, Distributed and Parallel Algorithms, Applications of Distributed and Parallel Computing, Service Dependability and Security, IoT and CPS Computing, Performance Modelling and Evaluation..
Pindex Conference proceedings 2020
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SWR: Using Windowed Reordering to Achieve Fast and Balanced Heuristic for Streaming Vertex-Cut Graphon cost and workload balance among computing nodes. Existing solutions are mainly heuristic-based but unfortunately cannot achieve partitioning quality, load balance, and speed at the same time. In this paper, we propose Sliding-Window Reordering (.), a streaming vertex-cut graph partitioning algori
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Accelerating Large Integer Multiplication Using Intel AVX-512IFMAon a processor with Cannon Lake microarchitecture, containing Intel AVX-512IFMA (Integer Fused Multiply-Add) instructions. AVX-512IFMA can compute multiple 52-bit integer multiplication and addition operations through one instruction and it has the potential to process large integer multiplications
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Out-of-Core GPU-Accelerated Causal Structure Learningof gene regulatory networks inferred from gene expression data supports solving biological and biomedical problems, such as, in drug design or diagnostics. With the adoption of Graphics Processing Units (GPUs) the runtime of constraint-based causal structure learning algorithms on multivariate norma
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Accelerating Lattice Boltzmann Method by Fully Exposing Vectorizable Loopsr many industries. However, the loop-carried dependencies in LBM kernels prevent the vectorization of loops and general compilers therefore have missed many opportunities of vectorization. This paper proposes a SIMD-aware loop transformation algorithm to fully expose vectorizable loops for LBM kerne
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Verification of Microservices Using Metamorphic Testingbased applications are more flexible, scalable and portable than traditional applications. However, the unique characteristics of Microservices architecture have also brought significant challenges for software verification. One major challenge is the oracle problem: in the testing of microservices,
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