Results 31 to 40 of about 27,095 (213)
A Parallelised ROOT for Future HEP Data Processing [PDF]
EPJ Web of Conferences, 2019 In the coming years, HEP data processing will need to exploit parallelism on present and future hardware resources to sustain the bandwidth requirements. As one of the cornerstones of the HEP software ecosystem, ROOT embraced an ambitious parallelisation
Piparo Danilo +6 more
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Parallelism Analysis of Subroutine-Level Speculative in HPEC [PDF]
Jisuanji gongcheng, 2020 Effective application of Thread-Level Speculation(TLS) technology can improve the hardware resource utilization of multicore chips,and has acquired successful results in automatic parallelization of multiple serial applications.However,it lacks efficient
WANG Xinyi, WANG Yaobin, LI Ling, YANG Yang, BU Deqing, LIU Zhiqin
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Model Parallelism With Subnetwork Data Parallelism
CoRRPre-training large neural networks at scale imposes heavy memory demands on accelerators and often requires costly communication. We introduce Subnetwork Data Parallelism (SDP), a distributed training framework that partitions a model into structured subnetworks trained across workers without exchanging activations.
Singh, Vaibhav +4 more
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Sorting algorithm acceleration based on CPU-FPGA heterogeneous system
Dianzi Jishu Yingyong, 2022 Traditional sorting methods are mainly implemented in software serial mode, including bubble sorting, selective sorting and so on. These algorithms often use sequential comparison, and the operation time complexity is relatively high.
Kou Yuanbo +3 more
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Parallel and Distributed Data Management [PDF]
, 2010 Introduction to Topic 5 of Europar ...
Sakellariou, R. +9 more
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Jurnal Adabiyah, 2018 The discursive interaction consists of dialogism and parallelism. This research is aimed to analyze the discursive interaction that occurs in Mappettu Ada event.
Zulkhaeriyah Zulkhaeriyah
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Dynamic parallelization in distributed join optimization [PDF]
PeerJ Computer ScienceSelection of appropriate level of parallelism is critical in distributed join optimization for efficient execution of data-intensive query workloads. Different join strategies use different communication patterns, which requires the level of parallelism ...
Fatih Türkmen +1 more
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Efficient Computerized-Tomography Reconstruction Using Low-Cost FPGA-DSP Chip [PDF]
Electronics, 2017 In this paper, filtered back-projection algorithm is optimally implemented using low-cost Spartan 3A-DSP 3400 chip. The optimization enables parallel implementation.
Bassam A. Abo-Elftooh +2 more
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Applied SciencesDemonstrating parallelism in quantitative laboratory tests is crucial to ensure accurate reporting of data and minimise risks to patients. Regulatory authorities make the demonstration of parallelism before clinical use approval mandate.
Axel Petzold
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Parallelism Strategies for Big Data Delayed Transfer Entropy Evaluation
Algorithms, 2019 Generated and collected data have been rising with the popularization of technologies such as Internet of Things, social media, and smartphone, leading big data term creation. One class of big data hidden information is causality.
Jonas R. Dourado +2 more
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