Proceedings 9th Heterogeneous Computing Workshop (HCW 2000) (Cat. No.PR00556)最新文献_第3页

Design of a framework for data-intensive wide-area applications 数据密集型广域应用的框架设计

Proceedings 9th Heterogeneous Computing Workshop (HCW 2000) (Cat. No.PR00556) Pub Date : 2000-05-01 DOI: 10.1109/HCW.2000.843737

M. Beynon, T. Kurç, A. Sussman, J. Saltz

{"title":"Design of a framework for data-intensive wide-area applications","authors":"M. Beynon, T. Kurç, A. Sussman, J. Saltz","doi":"10.1109/HCW.2000.843737","DOIUrl":"https://doi.org/10.1109/HCW.2000.843737","url":null,"abstract":"Applications that use collections of very large, distributed datasets have become an increasingly important part of science and engineering. With high performance wide-area networks becoming more pervasive, there is interest in making collective use of distributed computational and data resources. Recent work has converged to the notion of the Grid, which attempts to uniformly present a heterogeneous collection of distributed resources. Current Grid research covers many areas from low level infrastructure issues to high level application concerns. However providing support for efficient exploration and processing of very large scientific datasets stored in distributed archival storage systems remains a challenging research issue. We have initiated an effort that focuses on developing efficient data-intensive applications in a Grid environment. We present a framework, called filter-stream programming, that represents the processing units of a data-intensive application as a set of filters, which are designed to be efficient in their use of memory and scratch space. We describe a prototype infrastructure that supports execution of applications wing the proposed framework. We present the implementation of two applications using the filter-stream programming framework, and discuss experimental results demonstrating the effects of heterogeneous resources on application performance.","PeriodicalId":351836,"journal":{"name":"Proceedings 9th Heterogeneous Computing Workshop (HCW 2000) (Cat. No.PR00556)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134000883","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: 55

Heterogeneity as key feature of high performance computing: the PQE1 prototype 异构是高性能计算的关键特征:PQE1原型

Proceedings 9th Heterogeneous Computing Workshop (HCW 2000) (Cat. No.PR00556) Pub Date : 2000-05-01 DOI: 10.1109/HCW.2000.843729

P. Palazzari, L. Arcipiani, M. Celino, R. Guadagni, A. Marongiu, A. Mathis, P. Novelli, V. Rosato

{"title":"Heterogeneity as key feature of high performance computing: the PQE1 prototype","authors":"P. Palazzari, L. Arcipiani, M. Celino, R. Guadagni, A. Marongiu, A. Mathis, P. Novelli, V. Rosato","doi":"10.1109/HCW.2000.843729","DOIUrl":"https://doi.org/10.1109/HCW.2000.843729","url":null,"abstract":"Presents the results of a project aimed at assembling a hybrid massively parallel machine, the PQE1 prototype, which is devoted to the simulation of complex physical models. The analysis of some existing parallel architectures has revealed that general-purpose machines are largely over-dimensioned and often perform inefficiently in grand-challenge scientific applications. We have thus developed a heterogeneous parallel system which matches task heterogeneity with architecture heterogeneity: in fact, special-purpose massively parallel architectures, when coupled to general-purpose machines, are able to satisfy the requirements of complex scientific computing efficiently. We present the hardware structure and the software tools that have been developed for the PQE1 prototype. Starting from the concepts of machine granularity and task granularity, we show the necessity to exploit both high- and low-granularity parallelism in order to use the PQE1 system efficiently. Some examples showing application fields in which the PQE1 prototype has been successfully used are briefly described.","PeriodicalId":351836,"journal":{"name":"Proceedings 9th Heterogeneous Computing Workshop (HCW 2000) (Cat. No.PR00556)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124411288","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: 14

Optimising heterogeneous task migration in the Gardens virtual cluster computer 在Gardens虚拟集群计算机中优化异构任务迁移

Proceedings 9th Heterogeneous Computing Workshop (HCW 2000) (Cat. No.PR00556) Pub Date : 2000-05-01 DOI: 10.1109/HCW.2000.843739

A. Beitz, Simon D. Kent, P. Roe

引用次数: 10

Segmented min-min: a static mapping algorithm for meta-tasks on heterogeneous computing systems 分段最小最小:异构计算系统上元任务的静态映射算法

Proceedings 9th Heterogeneous Computing Workshop (HCW 2000) (Cat. No.PR00556) Pub Date : 2000-05-01 DOI: 10.1109/HCW.2000.843759

Minyou Wu, W. Shu, Hong Zhang

引用次数: 161

Parallel program execution on a heterogeneous PC cluster using task duplication 使用任务复制在异构PC集群上并行执行程序

Proceedings 9th Heterogeneous Computing Workshop (HCW 2000) (Cat. No.PR00556) Pub Date : 2000-05-01 DOI: 10.1109/HCW.2000.843758

Yu-Kwong Kwok

引用次数: 22

A heuristic algorithm for mapping communicating tasks on heterogeneous resources 异构资源上通信任务映射的启发式算法

Proceedings 9th Heterogeneous Computing Workshop (HCW 2000) (Cat. No.PR00556) Pub Date : 2000-05-01 DOI: 10.1109/HCW.2000.843736

K. Taura, A. Chien

引用次数: 115

Fast and effective task scheduling in heterogeneous systems 异构系统中快速有效的任务调度

Proceedings 9th Heterogeneous Computing Workshop (HCW 2000) (Cat. No.PR00556) Pub Date : 2000-05-01 DOI: 10.1109/HCW.2000.843747

A. Radulescu, A. V. Gemund

{"title":"Fast and effective task scheduling in heterogeneous systems","authors":"A. Radulescu, A. V. Gemund","doi":"10.1109/HCW.2000.843747","DOIUrl":"https://doi.org/10.1109/HCW.2000.843747","url":null,"abstract":"Recently (Proc. ACM Int. Conf. on Supercomput., 1999), we presented two very low-cost approaches to compile-time list scheduling where the tasks' priorities are computed statically or dynamically. For homogeneous systems, these two algorithms, called FCP (Fast Critical Path) and FLB (Fast Load Balancing), respectively, have been shown to yield a performance equivalent to other much more costly algorithms, such as MCP and ETF (Earliest Task First). In this paper, we present modified versions of FCP and FLB targeted at heterogeneous systems. We show that the modified versions yield a good overall performance, which is generally comparable to algorithms specifically designed for heterogeneous systems, such as HEFT (Heterogeneous Earliest Finish Time) or ERT (which are versions of MCP and ETF, respectively, using the task's completion time as the task priority). There are a few cases, mainly for irregular problems and large processor speed variance, where FCP's and FLB's performances drop to 32% and 63%, respectively. Considering the good overall performance and their very low cost, however, FCP and FLB are interesting options for scheduling very large problems on heterogeneous systems.","PeriodicalId":351836,"journal":{"name":"Proceedings 9th Heterogeneous Computing Workshop (HCW 2000) (Cat. No.PR00556)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114812870","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: 144

Load balancing across near-homogeneous multi-resource servers 跨几乎同构的多资源服务器的负载平衡

Proceedings 9th Heterogeneous Computing Workshop (HCW 2000) (Cat. No.PR00556) Pub Date : 2000-05-01 DOI: 10.1109/HCW.2000.843733

William Leinberger, G. Karypis, Vipin Kumar

引用次数: 106

Fast heterogeneous binary data interchange 快速异构二进制数据交换

Proceedings 9th Heterogeneous Computing Workshop (HCW 2000) (Cat. No.PR00556) Pub Date : 2000-05-01 DOI: 10.1109/HCW.2000.843735

G. Eisenhauer, Lynn K. Daley

引用次数: 30

Toward quality of security service in a resource management system benefit function 实现安全服务质量在资源管理系统中的效益功能

Proceedings 9th Heterogeneous Computing Workshop (HCW 2000) (Cat. No.PR00556) Pub Date : 2000-05-01 DOI: 10.1109/HCW.2000.843738

C. Irvine, T. Levin

引用次数: 40