HAUNT
发表于 2025-3-25 06:28:55
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期满
发表于 2025-3-25 08:38:45
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DAMP
发表于 2025-3-25 12:06:22
trices. Our model is first trained offline using training matrix samples, and the trained model can be applied to any input matrix and GNN kernels with SpMM computation. We implement our approach on top of PyTorch and apply it to 5 representative GNN models running on a multi-core CPU using real-lif
diathermy
发表于 2025-3-25 18:02:13
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emission
发表于 2025-3-25 20:07:46
Cordula Dahlmannndancy elimination can significantly reduce energy in the processor clocking network and the instruction and data caches. The overall application energy consumption can be reduced by up to 15%, and the reduction in terms of energy-delay product is up to 24%.
ELATE
发表于 2025-3-26 00:22:53
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抛物线
发表于 2025-3-26 05:41:33
Cordula Dahlmannual engine control program using an embedded multicore processor implemented on an FPGA. Evaluations and analysis on the engine control program indicate promising results for static scheduling, recording a 2.53. speedup on 4 cores compared to single core execution. In contrast, speedup on dynamic sc
表皮
发表于 2025-3-26 11:21:56
Cordula Dahlmannd form is built, we proceed to iteratively evaluate the total cost of each point in the set (an execution order). This involves computing the cost between every pair of adjacent tasks, and aggregating them to obtain the total cost. Finally, an optimal ordering is obtained by applying lexicographic m
吝啬性
发表于 2025-3-26 15:30:32
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爱哭
发表于 2025-3-26 18:14:31
Cordula Dahlmanne. NUMA node local) GC threads. For load balancing, our solution enforces locality on the work-stealing mechanism by stealing from local NUMA nodes only. We evaluated our approach on SPECjbb2013, DaCapo 9.12 and Neo4j. Results show an improvement in GC performance by up to 2.5x speedup and 37 % bett