Titlebook: Recent Advances in Structural Engineering; Select Proceedings o K. S. Sreekeshava,Sreevalsa Kolathayar,N. Vinod Ch Conference proceedings 2

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書目名稱Recent Advances in Structural Engineering影響因子(影響力)




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書目名稱Recent Advances in Structural Engineering被引頻次




書目名稱Recent Advances in Structural Engineering被引頻次學(xué)科排名




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書目名稱Recent Advances in Structural Engineering年度引用學(xué)科排名




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書目名稱Recent Advances in Structural Engineering讀者反饋學(xué)科排名

Spinous-Process

K. S. Sreekeshava,Sreevalsa Kolathayar,N. Vinod Chandra Menon,C. Bhargavihe entire program, inside and outside loops. We first analyze the program statically and identify memory-access instructions that create data dependences that would appear in any execution of these instructions. Then, we exclude these instructions from instrumentation, allowing the profiler to skip

褻瀆

Headstrong

ensemble

AFFIX

Bajirao V. Mane,Ajit N. Patile original model cannot be fit into a device memory of a single GPU without partitioning. Experimental results demonstrate that our partitioning method accelerates R-GCN by up?to 3.28 times using four GPUs compared to CPU execution for a dataset with more than 1.6 million nodes and 5 million edges.

竊喜

photopsia

CHAR

S. M. Naveen Kumar,Manu Vijay,C. Chandre Gowda,P. Shashank,B. Bharathi3x max speed up against AutoTVM-tuned separate kernels in standalone kernel benchmarks. We also show a 1.09x geomean with 1.29x max speedup against TVM, and a 2.09x geomean with 3.35x max speedup against MKLDNN-backed PyTorch, in end-to-end inference tests.

骯臟

Abhishek V. Sonawane,Sunil B. Makhare,Ajay G. Dahakemance guarantees. We also study the behavior of heuristic methods using simulations, which highlight which properties are useful for limiting tail latency: for instance, the . strategy—which uses the earliest available time of servers—exhibits a tail latency that is less than half that of state-of-t