Inlämning av Examensarbete / Submission of Thesis

Mohammad Habibur Rahman & Qaisar Farooq MCS-2010-36, pp. 43. COM/School of Computing, 2010.

The work

Författare / Author: Mohammad Habibur Rahman & Qaisar Farooq
habib_miz@yahoo.com, &, qaisar.farooq@gmail.com
Titel / Title: Performance Prediction of Parallel Programs in a Linux Environment
Abstrakt Abstract:

Context. Today’s parallel systems are widely used in different computational tasks. Developing parallel programs to make maximum use of the computing power of parallel systems is tricky and efficient tuning of parallel programs is often very hard.
Objectives. In this study we present a performance prediction and visualization tool named VPPB for a Linux environment, which had already been introduced by Broberg et.al, [1] for a Solaris2.x environment. VPPB shows the predicted behavior of a multithreaded program using any number of processors and the behavior is shown on two different graphs. The prediction is based on a monitored uni-processor execution.
Methods. An experimental evaluation was carried out to validate the prediction reliability of the developed tool.
Results. Validation of prediction is conducted, using an Intel multiprocessor with 8 processors and PARSEC 2.0 benchmark suite application programs. The validation shows that the speed-up predictions are +/-7% of a real execution.
Conclusions. The experimentation of the VPPB tool showed that the prediction of VPPB is reliable and the incurred overhead into the application programs is low.

Ämnesord / Subject: Datavetenskap - Computer Science\Computersystems
Datavetenskap - Computer Science\General
Nyckelord / Keywords: VPPB, Pthreads, parallel programming, performance tuning, performance prediction, distributed memory system, shared memory system

Publication info

Dokument id / Document id:
Program:/ Programme Magisterprogram i Datavetenskap/MSC in Computer science
Registreringsdatum / Date of registration: 02/02/2011
Uppsatstyp / Type of thesis: Masterarbete/Master's Thesis (120 credits)

Context

Handledare / Supervisor: Prof. Håkan Grahn
hakan.grahn@bth.se
Organisation / Organisation: Blekinge Institute of Technology
Institution / School: COM/School of Computing

+46 455 38 50 00
Anmärkningar / Comments:

contact: +46(0)736368336

Files & Access

Bifogad uppsats fil(er) / Files attached: mcs-2010-36.doc (847 kB, öppnas i nytt fönster)