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Titlebook: High Performance Computing. ISC High Performance 2022 International Workshops; Hamburg, Germany, Ma Hartwig Anzt,Amanda Bienz,Marc Baboulin

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樓主: gingerly
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發(fā)表于 2025-3-23 11:08:32 | 只看該作者
12#
發(fā)表于 2025-3-23 16:18:06 | 只看該作者
Akihiro Hayashi,Sri Raj Paul,Vivek Sarkarsitive residuals, which exploited such fault indicators. This theoretical research prove that high order sliding mode approach have good capabilities to ensure both decoupled current control and inter-turn short-circuit fault detection.
13#
發(fā)表于 2025-3-23 20:50:34 | 只看該作者
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發(fā)表于 2025-3-24 00:33:33 | 只看該作者
Interactive, Cloud-Native Workflows on?HPC Using KNoCe same workflow, controlled and monitored through an interactive frontend. Deploying KNoC requires only a secure shell connection to the cluster’s login node. We describe the design and implementation of KNoC, and evaluate the integration using several proof-of-concept workflows.
15#
發(fā)表于 2025-3-24 02:35:44 | 只看該作者
Compiler-Assisted Instrumentation Selection for?Large-Scale C, Codest is essential to measure only those regions of the code which are most relevant to the analysis. In practice, the typical approach is to define filter lists manually. Prior projects aim to automate this process using static analysis. Specifically, InstRO enables tailored instrumentation via sophist
16#
發(fā)表于 2025-3-24 07:10:48 | 只看該作者
17#
發(fā)表于 2025-3-24 12:41:44 | 只看該作者
Detecting Scale-Induced Overflow Bugs in?Production HPC Codesly in the testing of HPC codes. If missed, these bugs can cause applications to either crash at runtime during production runs or, even worse, silently continue and corrupt results. This results in wasting vast amounts of resources and the crash might not provide any useful debugging information. La
18#
發(fā)表于 2025-3-24 18:00:10 | 只看該作者
AI Benchmarking for?Science: Efforts from?the?MLCommons Science Working Grouplative benefits on various scientific problems, if they were to make significant advances in science using AI. Although this comes under the purview of benchmarking, conventional benchmarking initiatives are focused on performance, and as such, science, often becomes a secondary criteria..In this pa
19#
發(fā)表于 2025-3-24 19:36:22 | 只看該作者
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發(fā)表于 2025-3-25 01:06:12 | 只看該作者
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