Impugn 发表于 2025-3-26 21:02:11
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Bernd Appeltle and high-performance online services is to over-allocate resources for online services, which results in a waste of cluster resources. Therefore, cloud vendors tend to co-locate online services and offline batch jobs into the same cluster to improve resource utilization. However, the co-locationSTING 发表于 2025-3-27 06:31:41
Gary Brist,Gary Longeploy them on resource-limited devices such as mobile phones. To solve this problem, we propose a novel filter pruning method for neural network named Discrete Rank Pruning (DRP). Moreover, many methods apply sparse regularization on the filter weights of the convolution layers to reduce the degradaMIR 发表于 2025-3-27 10:07:17
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Daoqiang Daniel Lu,C.P. Wonger, there are less investigations on the security implications of concurrently running GPU applications. In this paper, we explore security vulnerabilities of CUDA from multiple dimensions. In particular, we first present a study on GPU stack, and reveal that stack overflow of CUDA can affect the ex消息灵通 发表于 2025-3-28 01:25:11
Shinji Takeda,Takashi Masukoer, there are less investigations on the security implications of concurrently running GPU applications. In this paper, we explore security vulnerabilities of CUDA from multiple dimensions. In particular, we first present a study on GPU stack, and reveal that stack overflow of CUDA can affect the exLibido 发表于 2025-3-28 05:24:21
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Dok Won Lee,Liangliang Li,Shan X. Wang,Jiongxin Lu,C. P. Wong,Swapan K. Bhattacharya,John Papapolymeer, there are less investigations on the security implications of concurrently running GPU applications. In this paper, we explore security vulnerabilities of CUDA from multiple dimensions. In particular, we first present a study on GPU stack, and reveal that stack overflow of CUDA can affect the ex食料 发表于 2025-3-28 13:52:04
X.D. Wang,Z.L. Wang,H.J. Jiang,L. Zhu,C.P. Wong,J.E. Morrissign. However popular management policies through memory-access recording and page migration may invoke non-trivial overhead in execution time and hardware space. Nowadays, managed language applications are increasingly dominant in every kind of platform. Managed runtimes provide services for automa