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Titlebook: High Performance Computing; 38th International C Abhinav Bhatele,Jeff Hammond,Carola Kruse Conference proceedings 2023 The Editor(s) (if ap

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11#
發(fā)表于 2025-3-23 12:27:05 | 只看該作者
Elijah Pelofske,Andreas B?rtschi,Stephan Eidenbenz RegionServer crashes, all the regions on the RegionServer migrate to another RegionServer. The Master handles RegionServer failures by assigning the regions handled by the failed RegionServer to another RegionServer.
12#
發(fā)表于 2025-3-23 14:54:54 | 只看該作者
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/h/image/426295.jpg
13#
發(fā)表于 2025-3-23 21:31:33 | 只看該作者
Christoph Alt,Tobias Kenter,Sara Faghih-Naini,Jennifer Faj,Jan-Oliver Opdenh?vel,Christian Plessl,Vateriosus, transposition of the great arteries, hypoplastic left heart syndrome, and tetralogy of Fallot and may predispose to dilatation and aneurysmal formation. These congenital heart diseases exhibit ongoing dilatation of the aortic root and reduced aortic elasticity that may relate to intrinsic
14#
發(fā)表于 2025-3-24 02:11:07 | 只看該作者
15#
發(fā)表于 2025-3-24 03:08:26 | 只看該作者
Illuminating the?I/O Optimization Path of?Scientific Applicationssis, investigation, and recommendations could close this gap without requiring a specialist to intervene in every case. In this paper, we propose a novel interactive, user-oriented visualization, and analysis framework, called .. This framework helps users to pinpoint various root causes of I/O perf
16#
發(fā)表于 2025-3-24 09:40:35 | 只看該作者
17#
發(fā)表于 2025-3-24 13:41:40 | 只看該作者
18#
發(fā)表于 2025-3-24 17:53:03 | 只看該作者
GPU-Based Low-Precision Detection Approach for Massive MIMO Systemsfurther deploy low-precision arithmetic operations. We show that moving from single-precision 32-bit floating-point arithmetic (FP32) to half-precision 16-bit representation (FP16) does not affect the accuracy performance while translating into an additional 1.7. speedup. In addition, exploiting 8-b
19#
發(fā)表于 2025-3-24 20:13:03 | 只看該作者
End-to-End Differentiable Reactive Molecular Dynamics Simulations Using JAXarning (ML) presents new opportunities for customization, programmer productivity and performance portability. In this paper, we explore the benefits and limitations of JAX, a modern ML library in Python representing a prime example of the convergence of HPC and ML software, for implementing ReaxFF.
20#
發(fā)表于 2025-3-25 02:22:49 | 只看該作者
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