平
发表于 2025-3-23 09:52:34
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SOB
发表于 2025-3-23 15:35:49
Accelerating Parallel Operation for Compacting Selected Elements on GPUsgence. The task of this operation is to produce a smaller output array by writing selected elements of an input array contiguously back to a new output array. The selected elements are usually defined by means of a bit mask. With the always increasing amount of data elements to be processed in the d
tolerance
发表于 2025-3-23 18:51:54
A Methodology to Scale Containerized HPC Infrastructures in the Cloudith the usual Kubernetes syntax for recipes, and our approach automatically translates the description to a full-fledged containerized HPC cluster. Moreover, resource extensions or shrinks are handled, allowing a dynamic resize of the containerized HPC cluster without disturbing its running. The Kub
Myelin
发表于 2025-3-24 00:31:28
Cucumber: Renewable-Aware Admission Control for Delay-Tolerant Cloud and Edge Workloadspossible countermeasure is equipping IT infrastructure directly with on-site renewable energy sources. Yet, particularly smaller data centers may not be able to use all generated power directly at all times, while feeding it into the public grid or energy storage is often not an option. To maximize
商议
发表于 2025-3-24 04:06:21
0302-9743 sgow, UK, in August 2022..The 25 full papers presented in this volume were carefully reviewed and selected from 102 submissions. The conference Euro-Par 2022 covers all aspects of parallel and distributed computing, ranging from theory to practice, scaling from the smallest.to the largest parallel a
无情
发表于 2025-3-24 07:50:36
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Schlemms-Canal
发表于 2025-3-24 14:22:14
Gesellschaft für Natur- und Heilkundertitioning that balances peak memory usage. Our approach is DL-framework agnostic and orthogonal to existing memory optimizations found in large-scale DNN training systems. Our results show that our approach enables training of neural networks that are 1.55 times larger than existing partitioning solutions in terms of the number of parameters.
MORT
发表于 2025-3-24 15:49:18
„Selbsthilfebewegung“ und Public Health) on a variety of GPU platforms, (ii) for different sizes of the input array, (iii) for bit distributions of the corresponding bit mask, and (iv) for data types. As we are going to show, we achieve significant speedups compared to the state-of-the-art implementation.
optic-nerve
发表于 2025-3-24 20:42:43
Characterization of Different User Behaviors for Demand Response in Data Centerse study the impact of these behaviors on four different metrics: the energy consumed during and after the time window, the mean waiting time and the mean slowdown. We also characterize the conditions under which the involvement of users is the most beneficial.
AVID
发表于 2025-3-25 03:11:45
mCAP: Memory-Centric Partitioning for Large-Scale Pipeline-Parallel DNN Trainingrtitioning that balances peak memory usage. Our approach is DL-framework agnostic and orthogonal to existing memory optimizations found in large-scale DNN training systems. Our results show that our approach enables training of neural networks that are 1.55 times larger than existing partitioning solutions in terms of the number of parameters.