Titlebook: Supercomputing; 29th International C Julian Martin Kunkel,Thomas Ludwig,Hans Werner Meu Conference proceedings 2014 Springer International

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書目名稱Supercomputing影響因子(影響力)




書目名稱Supercomputing影響因子(影響力)學(xué)科排名




書目名稱Supercomputing網(wǎng)絡(luò)公開度




書目名稱Supercomputing網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Supercomputing被引頻次




書目名稱Supercomputing被引頻次學(xué)科排名




書目名稱Supercomputing年度引用




書目名稱Supercomputing年度引用學(xué)科排名




書目名稱Supercomputing讀者反饋




書目名稱Supercomputing讀者反饋學(xué)科排名

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Exascale Radio Astronomy: Can We Ride the Technology Wave? and analyzing signals from 262,144 antennas and 350 dishes at a raw datarate of petabits per second. The processing pipeline to create useful astronomical data will require exa-operations per second, at a very limited power budget. We analyze the compute, memory and bandwidth requirements for the k

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Sparsifying Synchronization for High-Performance Shared-Memory Sparse Triangular Solvercreases in the number of cores and vector width. Modern CMPs execute from several hundreds to several thousands concurrent operations per second, while their memory subsystem delivers from tens to hundreds Giga-bytes per second bandwidth..Taking advantage of these parallel resources requires highly

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