morphology 发表于 2025-3-21 16:11:22
书目名称Algorithms and Architectures for Parallel Processing影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0153081<br><br> <br><br>书目名称Algorithms and Architectures for Parallel Processing影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0153081<br><br> <br><br>书目名称Algorithms and Architectures for Parallel Processing网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0153081<br><br> <br><br>书目名称Algorithms and Architectures for Parallel Processing网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0153081<br><br> <br><br>书目名称Algorithms and Architectures for Parallel Processing被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0153081<br><br> <br><br>书目名称Algorithms and Architectures for Parallel Processing被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0153081<br><br> <br><br>书目名称Algorithms and Architectures for Parallel Processing年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0153081<br><br> <br><br>书目名称Algorithms and Architectures for Parallel Processing年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0153081<br><br> <br><br>书目名称Algorithms and Architectures for Parallel Processing读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0153081<br><br> <br><br>书目名称Algorithms and Architectures for Parallel Processing读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0153081<br><br> <br><br>厌倦吗你 发表于 2025-3-21 21:40:16
https://doi.org/10.1007/978-3-642-49774-2ine time cost for file fetch sequence. Based on the model established, we propose a heuristic and greedy (HG) algorithm at the end. According to the simulation results, we can conclude that HG algorithm can reduce overall file fetch time roughly by 50 % in the best cases compared to the time cost of traditional approaches.良心 发表于 2025-3-22 03:22:48
http://reply.papertrans.cn/16/1531/153081/153081_3.pngirreparable 发表于 2025-3-22 07:30:39
,Der Grundsatz der Verfügbarkeit,ntervals, then the disks that are not in use within a certain time will be powered down. MCS-SSD is evaluated on a trace driven simulator in TB data level and PB data level storage systems, and the results show that compared with existing energy efficient architectures the energy consumption of MCS-SSD is reduced about 39.34 % to 58.43 %.反馈 发表于 2025-3-22 10:59:46
MedR Schriftenreihe Medizinrechted on Linux using three benchmark applications, and the evaluation shows how this tool helps to identify costly variables and choose optimization methods. The result shows performance improvement of up to 51.92 %.免费 发表于 2025-3-22 15:21:22
https://doi.org/10.1007/978-3-642-86132-1heme further reduces SSD GC cost by up to 59.1 % (62.1 %), and saves 44.3 % (77.5 %) of computational cost. Due to the light-weight and parameter-insensitive feature, our scheme can be easily deployed at various system levels and adaptable to different workloads.反应 发表于 2025-3-22 20:52:32
,Einführung in die Problemgeschichte,e efficiency of iPLAR with representative basic matrix operations and two widely-used machine learning algorithms. Experimental results show that iPLAR achieves the near-linear data scalability and enhances the interactive processing capability of R to large problem scales.IRK 发表于 2025-3-23 00:37:03
Die abdominalen lageverändernden Operationend scalable computational performance in a multicore environment. This paper also provides what, at least at first glance, appears to be very counter-intuitive performance results. We examine the underlying reasons for such results, and discuss the important insights gained through this examination.ANTIC 发表于 2025-3-23 01:28:55
FT-Offload: A Scalable Fault-Tolerance Programing Model on MIC Clusterhe framework is demonstrated via numerical analysis and by porting both benchmarks and real-world applications to large-scale CPU-MIC nodes on the Tianhe-2 supercomputer. Our experimental results show that the current solution, which involves checkpoints, can efficiently strength the long running and reduce checkpointing overhead.要求比…更好 发表于 2025-3-23 09:36:20
An Energy Efficient Storage System for Astronomical Observation Data on Dome Antervals, then the disks that are not in use within a certain time will be powered down. MCS-SSD is evaluated on a trace driven simulator in TB data level and PB data level storage systems, and the results show that compared with existing energy efficient architectures the energy consumption of MCS-SSD is reduced about 39.34 % to 58.43 %.