大量杀死
发表于 2025-3-25 06:08:50
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彻底检查
发表于 2025-3-25 10:43:40
Scaling the Java Virtual Machine on a Many-Core Systemugh a NUMA aware garbage collector. In this chapter, we use the LArge Memory Business Data Analytics (LAMBDA) workload to illustrate the importance of various scaling bottlenecks and to demonstrate the performance gain from the discussed solutions.
acolyte
发表于 2025-3-25 13:15:58
New Solutions for Cross-Layer System-Level and High-Level Synthesisoop: the definitive guide. O’Reilly Media, Sebastopol, 2009) have become primary datacenter applications, but the rise of massive data processing also has a major impact on the increasing demand for both datacenter computation and data processing in edge devices to improve scalability of massive sensing applications.
morale
发表于 2025-3-25 18:21:43
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热情赞扬
发表于 2025-3-25 23:48:23
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OWL
发表于 2025-3-26 02:47:36
Side Channel Attacks and Their Low Overhead Countermeasures on Residue Number System Multipliersance, and are compatible to other countermeasures on both the logic level and the algorithm level. We prototype the proposed design on FPGA, and presented the implementation results confirm the efficiency of the proposed countermeasures.
杂色
发表于 2025-3-26 07:41:15
Acceleration of MapReduce Framework on a Multicore Processoral results show that the MapReduce framework with hardware accelerators speeds up by 40 times at maximum compared to the pure software solution, and the proposed Topo-MapReduce speeds up further by 29% at maximum compared to the original MapReduce.
Chandelier
发表于 2025-3-26 09:40:00
ign abstraction and flow, from device, to circuits and syste.This book describes the current state of the art in big-data analytics, from a technology and hardware architecture perspective. The presentation is designed to be accessible to a broad audience, with general knowledge of hardware design a
jabber
发表于 2025-3-26 14:10:15
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换话题
发表于 2025-3-26 20:50:08
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