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Titlebook: Algorithms and Architectures for Parallel Processing; 19th International C Sheng Wen,Albert Zomaya,Laurence T. Yang Conference proceedings

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發(fā)表于 2025-3-23 12:12:50 | 只看該作者
A New Robust and Reversible Watermarking Technique Based on Erasure Codeto be tackled urgently is to protect the ownership of data during the sharing process. Digital watermarking technology is a major solution to ownership protection. Many reversible watermarking approaches are proposed to achieve the function of ownership protection, but most methods can only resist m
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發(fā)表于 2025-3-23 14:48:34 | 只看該作者
Exit-Less Hypercall: Asynchronous System Calls in Virtualized Processeszed process uses hardware virtualization to provide a process abstraction. The virtualized processes are deemed as inefficient compared against native processes using system calls since hypercalls they use cause high-overhead context switches..However, current performance of system calls is severely
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發(fā)表于 2025-3-23 19:29:39 | 只看該作者
Automatic Optimization of Python Skeletal Parallel Programs-level skeleton libraries often offer a global view of programs instead of the common Single Program Multiple Data view in parallel programming. A program is written as a sequential program but operates on parallel data structures. Most of the time, skeletons on a parallel data structure have counte
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發(fā)表于 2025-3-24 01:00:21 | 只看該作者
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發(fā)表于 2025-3-24 03:59:56 | 只看該作者
FANG: Fast and Efficient Successor-State Generation for Heuristic Optimization on GPUse genetic approaches and other related papers typically assume the existence of a neighborhood or successor-state function .(.), where . is a candidate state. The implementation of such a function can become arbitrarily complex in the field of combinatorial optimization. Many .(.) functions for a hu
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發(fā)表于 2025-3-24 09:16:03 | 只看該作者
DETER: Streaming Graph Partitioning via Combined Degree and Cluster Informationlity of partitioning affects the performance of systems greatly. However, most existing vertex-cut graph partitioning algorithms only focused on degree information and ignored the cluster information of a coming edge when assigning edges. It is beneficial to assign an edge to a partition with more n
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