2008 22nd International Symposium on High Performance Computing Systems and Applications最新文献_第4页

The Variational Cluster Approximation for Hubbard Models: Practical Implementation Hubbard模型的变分聚类近似:实际实现

2008 22nd International Symposium on High Performance Computing Systems and Applications Pub Date : 2008-06-09 DOI: 10.1109/HPCS.2008.18

D. Sénéchal

引用次数: 5

Managing Petabyte-Scale Storage for the ATLAS Tier-1 Centre at TRIUMF 为TRIUMF的ATLAS Tier-1中心管理pb级存储

2008 22nd International Symposium on High Performance Computing Systems and Applications Pub Date : 2008-06-09 DOI: 10.1109/HPCS.2008.27

D. Deatrich, Simon Y. Liu, Chris Payne, Réda Tafirout, R. Walker, A. Wong, M. Vetterli

{"title":"Managing Petabyte-Scale Storage for the ATLAS Tier-1 Centre at TRIUMF","authors":"D. Deatrich, Simon Y. Liu, Chris Payne, Réda Tafirout, R. Walker, A. Wong, M. Vetterli","doi":"10.1109/HPCS.2008.27","DOIUrl":"https://doi.org/10.1109/HPCS.2008.27","url":null,"abstract":"The ATLAS experiment at the Large Hadron Collider (LHC), located in Geneva, will collect 3 to 4 petabytes or PB (1015 bytes) of data for each year of its operation, when fully commissioned. Secondary data sets resulting from event reconstruction, reprocessing and calibration will result in an additional 2.5 PB for each year of data taking. Simulated data sets require also significant resources as well nearing 1 PB per year. The data will be distributed worldwide to ten Tier-1 computing centres within the Worldwide LHC computing grid (WLCG) that will operate around the clock. One of these centres is hosted at TRIUMF, Canada's National Laboratory for Particle and Nuclear Physics, located in Vancouver, BC. By the year 2010, the storage capacity at TRIUMF will consist of about 3 Petabyte of disk storage, and 2 PB of tape storage. At present, the disk capacity installed is 750 terabytes or TB (1012 bytes) while the tape capacity is 560 TB, both using state of the art technology. dCache from www.dcache.org is used to manage the entire storage in order to provide a common file namespace. It is a highly scalable solution and highly configurable. In this paper we will describe and review the storage infrastructure and configuration currently in place at the Tier-1 centre at TRIUMF for both disk and tape as well as the management software and tools that have been developed.","PeriodicalId":290167,"journal":{"name":"2008 22nd International Symposium on High Performance Computing Systems and Applications","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126524455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Computing Intensive Simulations in Biofilm Modeling 生物膜建模中的密集计算模拟

2008 22nd International Symposium on High Performance Computing Systems and Applications Pub Date : 2008-06-09 DOI: 10.1109/HPCS.2008.20

H. Eberl, Nasim Muhammad, R. Sudarsan

引用次数: 5

Improving Communication Progress and Overlap in MPI Rendezvous Protocol over RDMA-enabled Interconnects 在rdma支持的互连上改进MPI会合协议的通信进度和重叠

2008 22nd International Symposium on High Performance Computing Systems and Applications Pub Date : 2008-06-09 DOI: 10.1109/HPCS.2008.10

Mohammad J. Rashti, A. Afsahi

引用次数: 35

Parallel Three-Dimensional Simulation of Ultrasound Imaging 超声成像的平行三维模拟

2008 22nd International Symposium on High Performance Computing Systems and Applications Pub Date : 2008-06-09 DOI: 10.1109/HPCS.2008.28

M. Daoud, J. Lacefield

引用次数: 4

Models for Grid Applications and Jobs 网格应用和作业的模型

2008 22nd International Symposium on High Performance Computing Systems and Applications Pub Date : 2008-06-09 DOI: 10.1109/HPCS.2008.9

T. Elahi, C. Kiddle, R. Simmonds

{"title":"Models for Grid Applications and Jobs","authors":"T. Elahi, C. Kiddle, R. Simmonds","doi":"10.1109/HPCS.2008.9","DOIUrl":"https://doi.org/10.1109/HPCS.2008.9","url":null,"abstract":"Grid computing technologies have made it possible for researchers to get access to more computational resources than ever before. However, heterogeneity of resources, scheduling policy and applications makes it difficult to manage the execution of jobs in such environments. The manner in which a job is configured to run on one resource may not be appropriate for another resource. Long running jobs need to be split into a series of shorter jobs with the aid of checkpointing to increase fault tolerance and to meet scheduling policy constraints of different resources. To take full advantage of grid environments, execution management systems need to be able to configure, reconfigure, checkpoint and migrate jobs as necessary. Information models that describe resources, policy and applications help automate execution management and allow for interoperability between tools. This paper presents application and job models that describe the processes required to configure and execute jobs on different resources. Example instances of the application and job models for the GROMACS molecular dynamics simulation example are also presented, illustrating how the models aid in automation.","PeriodicalId":290167,"journal":{"name":"2008 22nd International Symposium on High Performance Computing Systems and Applications","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116942597","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Grid Infrastructure and Large Scale Production for ATLAS ATLAS的网格基础设施和大规模生产

2008 22nd International Symposium on High Performance Computing Systems and Applications Pub Date : 2008-06-09 DOI: 10.1109/HPCS.2008.41

D. Deatrich, Simon Y. Liu, Chris Payne, Réda Tafirout, R. Walker, A. Wong, M. Vetterli

引用次数: 0