项目
发表于 2025-3-28 14:50:00
Esther Pogatzki-Zahn,Esther Pogatzki-Zahnsults show an improvement up to 97.15x of speed-up, which is competitive compared to other state-of-the-art algorithms in GPU and FPGA. To the best of our knowledge, this is the first work for fingerprint identification using a Xeon Phi coprocessor.
Coronary
发表于 2025-3-28 22:16:01
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ineluctable
发表于 2025-3-28 23:07:47
Schmerzanamnese und Verhaltensanalyselobal market to the cryptocurrencies, but that is it not enough to correctly predict the fluctuations in price of the coins and that they care more about others factors and that they have their own bubbles, like the crypto collapse in late 2017.
DEVIL
发表于 2025-3-29 04:38:28
Schmerzmess ung und klinische Diagnostikases with and without rotational data augmentation. Experiments reveal that rotation (in)variance of CNN outputs is class conditional. A distribution analysis also shows that lower layers are the most invariant, which seems to go against previous guidelines that recommend placing invariances near th
pus840
发表于 2025-3-29 11:11:57
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Coeval
发表于 2025-3-29 11:29:12
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对待
发表于 2025-3-29 15:49:59
Benchmark Based on Application Signature to Analyze and Predict Their Behaviors represent the kernels of applications that measure specific hardware components. If the user’s application is not represented by any benchmark, it is not possible to obtain an equivalent performance metric. In this work, we propose a benchmark based on the signature of an MPI application obtained
Fraudulent
发表于 2025-3-29 21:42:13
Evaluating Performance of Web Applications in (Cloud) Virtualized Environmentsenerating the corresponding overhead. In this paper, we show how to evaluate and even find out several configuration performance characteristics by using virtualized environments which are now used in data centers and cloud environments. We use specific and simple web software architectures as ., an
GUISE
发表于 2025-3-30 00:40:39
Intelligent Distributed System for Energy Efficient Controldata visualization of power profiles from different areas, so as to optimize overall power consumption..The local intelligent processing unit (LIPU) that control the different environments is described. The communication network model that allows connecting multiple LIPUs to apply power consumption