十字架
发表于 2025-3-23 13:27:42
Trace Execution Automata in Dynamic Binary Translationore profile information about the generated traces, as well to instrument optimized versions of the traces. In our experiments, we showed that TEA decreases memory needs to represent the traces (nearly 80% savings).
绝缘
发表于 2025-3-23 13:52:13
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ALB
发表于 2025-3-23 18:25:51
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modest
发表于 2025-3-24 01:35:07
https://doi.org/10.1007/978-3-642-99589-7ove programmability and performance of applications that make heavy use of small convolutions, we argue that two improvements to software and hardware are needed: FFT libraries must be extended with a single convolution function and communication bandwidth between CPU and GPU needs to be drastically improved.
厚脸皮
发表于 2025-3-24 05:46:31
Pumpen und Kompressoren verschiedener Bauartottlenecks in future accelerator-based systems we will focus future research on the most performance-critical regions of the design. Accelerator designers will also find our tool useful for selecting which regions of their application to accelerate.
头脑冷静
发表于 2025-3-24 10:30:47
https://doi.org/10.1007/978-3-642-64925-7ds, our high-end mobile-class system was, on average, 80% more energy-efficient than a cluster with embedded processors and at least 300% more energy-efficient than a cluster with low-power server processors.
Painstaking
发表于 2025-3-24 11:06:43
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结合
发表于 2025-3-24 14:55:19
On the Use of Small 2D Convolutions on GPUsove programmability and performance of applications that make heavy use of small convolutions, we argue that two improvements to software and hardware are needed: FFT libraries must be extended with a single convolution function and communication bandwidth between CPU and GPU needs to be drastically improved.
originality
发表于 2025-3-24 21:14:24
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craven
发表于 2025-3-25 00:07:21
The Search for Energy-Efficient Building Blocks for the Data Centerds, our high-end mobile-class system was, on average, 80% more energy-efficient than a cluster with embedded processors and at least 300% more energy-efficient than a cluster with low-power server processors.