guzzle
发表于 2025-3-25 04:35:12
Conference proceedings 2013PP 2012, which was held in Shanghai, China, in May 2012. The 14 revised papers presented were carefully reviewed and selected from 24 submissions. The papers cover the following topics: parallel batch scheduling; workload analysis and modeling; resource management system software studies; and Web scheduling.
right-atrium
发表于 2025-3-25 10:21:49
http://reply.papertrans.cn/51/5010/500971/500971_22.png
可用
发表于 2025-3-25 13:07:43
Job Scheduling Strategies for Parallel Processing978-3-642-35867-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
Chameleon
发表于 2025-3-25 16:23:03
http://reply.papertrans.cn/51/5010/500971/500971_24.png
adroit
发表于 2025-3-25 21:32:59
Web-Scale Job Scheduling,s their high-performance computing counterparts. And yet little is known about the unique job scheduling challenges of these environments. This article aims to ameliorate this situation. It discusses the challenges of running web infrastructure and describes several techniques to address them. It al
travail
发表于 2025-3-26 01:02:31
DEMB: Cache-Aware Scheduling for Distributed Query Processing,arge scalable distributed systems by connecting multiple heterogeneous less powerful machines rather than purchasing expensive homogeneous and very powerful machines. As more servers are added to such clusters, more memory is available for caching data objects across the distributed machines. Howeve
朋党派系
发表于 2025-3-26 07:02:39
http://reply.papertrans.cn/51/5010/500971/500971_27.png
意外
发表于 2025-3-26 12:29:09
On Workflow Scheduling for End-to-End Performance Optimization in Distributed Network Environments,rk environments. With limited computing resources, it is often unavoidable to map multiple workflow modules to the same computer node with possible concurrent module execution, whose scheduling may significantly affect the workflow’s end-to-end performance in the network. We formulate this on-node w
Terminal
发表于 2025-3-26 16:01:37
Dynamic Kernel/Device Mapping Strategies for GPU-Assisted HPC Systems,ortant for high-performance computing (HPC) systems. Existing GPU execution environment restricts the GPU usage to local host node. This is suitable for standalone computer nodes, but becomes inefficient for HPC systems that consist of a large number of GPU-assisted nodes. In this paper, a novel fra
ADOPT
发表于 2025-3-26 18:00:56
http://reply.papertrans.cn/51/5010/500971/500971_30.png