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Titlebook: Algorithms and Architectures for Parallel Processing; 12th International C Yang Xiang,Ivan Stojmenovic,Albert Zomaya Conference proceedings

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樓主
發(fā)表于 2025-3-21 18:39:05 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Algorithms and Architectures for Parallel Processing
期刊簡稱12th International C
影響因子2023Yang Xiang,Ivan Stojmenovic,Albert Zomaya
視頻videohttp://file.papertrans.cn/154/153070/153070.mp4
發(fā)行地址Up-to-date results.Fast-track conference proceedings.State-of-the-art research
學科分類Lecture Notes in Computer Science
圖書封面Titlebook: Algorithms and Architectures for Parallel Processing; 12th International C Yang Xiang,Ivan Stojmenovic,Albert Zomaya Conference proceedings
影響因子The two volume set LNCS 7439 and 7440 comprises the proceedings of the 12th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2012, as well as some workshop papers of the CDCN 2012 workshop which was held in conjunction with this conference. The 40 regular paper and 26 short papers included in these proceedings were carefully reviewed and selected from 156 submissions. The CDCN workshop attracted a total of 19 original submissions, 8 of which are included in part II of these proceedings. The papers cover many dimensions of parallel algorithms and architectures, encompassing fundamental theoretical approaches, practical experimental results, and commercial components and systems.
Pindex Conference proceedings 2012
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沙發(fā)
發(fā)表于 2025-3-21 21:49:01 | 只看該作者
Der Geist als komplexes Quantensystemted system with bufferless microarchitectures was presented to analyze and evaluate the performance and model the success rate of each node respectively. It will facilitate the analysis of impact for different priorities. The accuracy of our approach and its practical use is illustrated through extensive simulation results.
板凳
發(fā)表于 2025-3-22 01:17:59 | 只看該作者
Analytical Modeling for Multi-transaction Bus on Distributed Systemsted system with bufferless microarchitectures was presented to analyze and evaluate the performance and model the success rate of each node respectively. It will facilitate the analysis of impact for different priorities. The accuracy of our approach and its practical use is illustrated through extensive simulation results.
地板
發(fā)表于 2025-3-22 08:13:45 | 只看該作者
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發(fā)表于 2025-3-22 12:00:42 | 只看該作者
Maintaining Consistency in Software Transactional Memory through Dynamic Versioning Tuningtent states in transactions. However, TLC may lead to false aborts and increase runtime of programs. In this work, we introduce Adaptive Versioning (AV) which dynamically selects one of the two validation techniques based on probability of conflicts. We show that AV is effective and improves performance of transactional applications significantly.
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發(fā)表于 2025-3-22 16:49:05 | 只看該作者
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發(fā)表于 2025-3-22 20:10:18 | 只看該作者
Design of an Application-Dependent Static-Based Shared Memory Networkween the port-to-port latency of our network switch and that of an 8-port InfiniBand network switch. Furthermore, the hardware size of the routing stack in the network switch does not increase with the number of nodes.
8#
發(fā)表于 2025-3-22 23:00:36 | 只看該作者
Determining Quality of S-Boxes Using Pseudo Random Sequences Generated from Stream Cipherssults show that these S-Boxes do not have much contribution to the statistical randomness of the pseudo-sequences but play significant roles on the nonlinearity of the ciphers. Hence, affect the randomness of sequences in cryptanalysis aspect.
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發(fā)表于 2025-3-23 05:00:00 | 只看該作者
A Note on Developing Optimal and Scalable Parallel Two-List Algorithmso understand and analyze, while it achieves the best known range of processor-time tradeoffs for this problem. In particular, our algorithm based on a CREW PRAM model takes time .(2.) using 2. processors, for 0?≤?.?≤?./2???2log.?+?2.
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發(fā)表于 2025-3-23 08:58:50 | 只看該作者
High-Performance Matrix Multiply on a Massively Multithreaded Fiteng1000 Processorgraphy, the memory layer for the placement and the sizes of the matrices. Parallel codes using C and assembly language under OpenMP parallel programming environment are designed. Performance results on Fiteng1000 processor show that the algorithms have well good parallel performance and achieve near-peak performance.
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