2 edition of Application scheduling and processor allocation in multiprogrammed parallel processing systems found in the catalog.
Application scheduling and processor allocation in multiprogrammed parallel processing systems
Kenneth C. Sevcik
Published
1993
by Computer Systems Research Institute, University of Toronto in Toronto
.
Written in English
Edition Notes
| Statement | K.C. Sevcik. |
| Series | Technical report CSRI -- 282 |
| Classifications | |
|---|---|
| LC Classifications | QA76.99 .S464 1993 |
| The Physical Object | |
| Pagination | 10 p. : |
| Number of Pages | 10 |
| ID Numbers | |
| Open Library | OL19532252M |
In this paper, we use performance data obtained from an SGI multiprocessor to evaluate several processor allocation strategies when running two parallel programs simultaneously. We examine gang scheduling (coscheduling), static space-sharing (space partitioning), and a dynamic allocation scheme called loop-level process control (LLPC) with Cited by: 7. A multiprogramming is a parallel processing in which the multiple programs can run simultaneously. We all mostly use uniprocessor PC/Mobile/Tablet but never wonder how the processor works. Actually, Processor is programmed to use the scheduling. S.
Sevcik, K.C.: Application scheduling and processor allocation in multiprogrammed parallel processing systems. Technical Report CSRI, Computer Systems Research Institute, University of Toronto, Toronto, Canada, M5S 1A1 (). CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Abstract. Many disciplines have been proposed for scheduling and processor allocation in multiprogrammed multiprocessors for parallel processing. These have been, for the most part, designed and evaluated for workloads having relatively low variability in service demand.
1. PROCESSOR ALLOCATION B Y R I TU RANJAN SHR I VAS TWA Distributed Systems 2. WHAT YOU WILL LEARN? Why Distributed Systems need processor allocation How performance of Distributed Systems can be enhanced by using different Processor allocation strategies What are the issues that we face while designing a processor allocation strategy RITU. This proposed model applies to scheduling and doing load balancing of the tasks in the parallel processing applications which can be divided into parts of arbitrary sizes, which in turn can be processed independently on remote computers. The objective is to come up with the optimal divisible load scheduling and balancing model to solve a computational problem in a minimal amount of time .
The application can execute even when one or more processors fail, and it can execute without modification on various systems in which the numbers of processors differ.
Scope of the paper The main goal of this paper is to identify effective algorithms for application scheduling and processor allocation in parallel processing by: When large-scale multiprocessors for parallel processing are subjected to heavy diverse workloads of applications, it will be necessary to schedule them in a multiprogrammed fashion in order to use the system resources effectively and keep response times low.
Application scheduling and processor allocation in multiprogrammed parallel processing systems () Cached. Download Links {Application scheduling and processor allocation in multiprogrammed parallel processing systems}, journal = {Performance Evaluation}, year.
Application Scheduling and Processor Allocation in Multiprogrammed Parallel Processing Systems. Performance Evaluation, 19(2/3): –, Mar.
CrossRef Google ScholarCited by: Gang scheduling is a resource management scheme for parallel and distributed systems that combines time-sharing and space-sharing to ensure high overall system throughput and short response times for interactive by: Download PDF: Sorry, we are unable to provide the full text but you may find it at the following location(s): (external link) ftp Cited by: Application scheduling and processor allocation in multiprogrammed parallel processing systems by Kenneth C.
Sevcik - Performance Evaluation, Abstract - Cited by 66 (5 self) - Add to MetaCart. Sevcik, ``Application Scheduling and Processor Allocation in Multiprogrammed Parallel Processing Systems''. Performance Evaluation 19(), pp.Mar This model was used in the following papers.
4 S.-H. Chiang, R. Mansharamani, M. Vernon,Use of application characteristics and limited preemption for run-to-completion parallel processor scheduling policies, Proceedings of the ACM SIGMETRICS Conference on Measurement and Modeling of Computer Systems, 33, 44Cited by: When first introduced, parallel systems were dedicated systems that were intended to run a single parallel application at a time.
Examples of the types of applications for which these systems were Parallel Job Scheduling: A Performance Perspective | SpringerLinkCited by: 4. Application scheduling and processor allocation in multiprogrammed parallel processing systems,” ().
Efficient Multidimensional Data Redistribution for Resizable Parallel Computations,”Author: R. Sudarsan, C. Ribbens and S. Varadarajan. Many disciplines have been proposed for scheduling and processor allocation in multiprogrammed multiprocessors for parallel processing.
These have been, for the most part, designed and evaluated for workloads having relatively low variability in service by: Scheduling algorithms that use application and system knowledge have been shown to be more effective at scheduling parallel jobs on a multiprocessor than algorithms that do not.
This paper focuses on obtaining such information for use by a scheduler in a Cited by: The Processor Working Set and Its Use in Scheduling Multiprocessor Systems.
Article (PDF Available) in IEEE Transactions on Software Engineering 17(5) - June with 20 Reads. Implementing a dynamic processor allocation policy for multiprogrammed parallel applications in the Solaris™ operating system Kelvin K. Yue, David J Lilja Electrical and Computer EngineeringCited by: The Loop-Level Process Control (LLPC) policy (Yue K, Lilja D.
Efficient execution of parallel applications in multiprogrammed multiprocessor systems. 10th International Parallel Processing. This is an operating system issue, involved with resource allocation, not a program development issue.
Scheduling schemes for multiprogrammed parallel systems can be classified as one or two leveled. Single-level scheduling combines the allocation of processing power with the decision of Author: Dror G. Feitelson. CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Existing techniques for sharing the processing resources in multiprogrammed sharedmemory multiprocessors, such as time-sharing, space-sharing, and gang-scheduling, typically sacrifice the performance of individual parallel applications to improve overall system utilization.
Yue, KK & Lilja, DJLoop-level process control: An effective processor allocation policy for multiprogrammed shared-memory multiprocessors. in L Rudolph & DG Feitelson (eds), Job Scheduling Strategies for Parallel Processing - IPPS Workshop, Proceedings.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Cited by: 8.
We use regression analysis to quantify the measured data and thereby explore the relationship between the degree of parallelism of the application, the size of the system, the processor allocation strategy and the resulting performance. We also attempt to predict the performance of an application in a multiprogrammed by: 5.
When large-scale multiprocessors for parallel processing are subjected to heavy diverse workloads of applications, it will be necessary to schedule them in a multiprogrammed fashion in order to.Processor scheduling in multiprocessor systems can be divided into two steps.
The first step, referred to as the processor allocation problem, is to determine the number of processors to be.Small-scale shared-memory multiprocessors are commonly used in a workgroup environment where multiple applications, both parallel and sequential, are executed concurrently while sharing the processors and other system resources.
To utilize the processors efficiently, an effective allocation strategy is by: 7.
