护身符
发表于 2025-3-23 10:28:55
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Omniscient
发表于 2025-3-23 14:29:13
Property Rights for Disaster Recoverytens of terabytes. In this article the efficient computation of convolution on GPU cores is proposed. We state that this approach if faster than even using parallel programming on CPU. It will be shown how big performance gain was achieved when using a graphic card that is several times less expensive than used CPU.
detach
发表于 2025-3-23 20:12:44
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garrulous
发表于 2025-3-24 01:13:35
Pentti Hakkarainen,Marja-Leena Vuorinenrelational schema in an interactive way. A database designer can build the subschemes step-by-step, guided by quantitative measures of decomposition “goodness”. At each step, a ranked set of recommendations are provided to the designer to guide him to the next possible actions that lead to a better design.
Grasping
发表于 2025-3-24 06:12:13
Ye Yaoxian,Niu Zezhen,Huang Jiguang premises, consequences, rules, and implications), neuro-fuzzy systems (precomposed MA, TSK, ANNBFIS, and subspace ANNBFIS for both classification and regression tasks). The paper is accompanied by numerical examples.
disrupt
发表于 2025-3-24 09:24:29
Using GPU to Accelerate Correlation on Seismic Signaltens of terabytes. In this article the efficient computation of convolution on GPU cores is proposed. We state that this approach if faster than even using parallel programming on CPU. It will be shown how big performance gain was achieved when using a graphic card that is several times less expensive than used CPU.
盖他为秘密
发表于 2025-3-24 11:54:16
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刚毅
发表于 2025-3-24 18:28:13
Interactive Decomposition of Relational Database Schemes Using Recommendationsrelational schema in an interactive way. A database designer can build the subschemes step-by-step, guided by quantitative measures of decomposition “goodness”. At each step, a ranked set of recommendations are provided to the designer to guide him to the next possible actions that lead to a better design.
LEVY
发表于 2025-3-24 21:58:17
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Precursor
发表于 2025-3-24 23:17:37
https://doi.org/10.1007/978-3-642-30129-2hnologies is made from an internal point of view, drawing from the professional experience of the authors. We are taking a closer look into the power generation process and trying to find areas to develop insights, hopefully enabling us to create more value for the industry.