عنوان
پدید آورنده
موضوع
رده
کتابخانه
محل استقرار
NATIONAL BIBLIOGRAPHY NUMBER
Number
TL49205
LANGUAGE OF THE ITEM
.Language of Text, Soundtrack etc
انگلیسی
TITLE AND STATEMENT OF RESPONSIBILITY
Title Proper
A framework for determining kernel schedules
General Material Designation
[Thesis]
First Statement of Responsibility
Md. Toufiqul Islam
Subsequent Statement of Responsibility
Rogers, Michael
.PUBLICATION, DISTRIBUTION, ETC
Name of Publisher, Distributor, etc.
Tennessee Technological University
Date of Publication, Distribution, etc.
2016
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
64
GENERAL NOTES
Text of Note
Committee members: Ghafoor, Sheikh; Siraj, Ambareen
NOTES PERTAINING TO PUBLICATION, DISTRIBUTION, ETC.
Text of Note
Place of publication: United States, Ann Arbor; ISBN=978-1-369-45321-8
DISSERTATION (THESIS) NOTE
Dissertation or thesis details and type of degree
M.S.
Discipline of degree
Computer Science
Body granting the degree
Tennessee Technological University
Text preceding or following the note
2016
SUMMARY OR ABSTRACT
Text of Note
Using Graphic Processing Units (GPU) in general purpose computing is becoming more popular because GPUs provide high throughput and are cost effective. Each new generation of GPUs has vastly increased GPU processing power. The most recent generations of GPUs can execute multiple kernels concurrently in a single GPU. Running concurrent kernels can lead to a significant speedup over a single kernel. However, running multiple kernels at the same time requires proper scheduling to ensure that the kernels take full advantage of the available resources. Previous research works show that some kernels run better together than some other kernels. This thesis presents a framework for experimentation and analysis of concurrently running kernels and presents a reference implementation of the framework. The framework includes guidelines for the functionality of each of the framework tools. This thesis also describes experimental results that show how the reference implementation that is derived from the framework can assist in finding good co-schedules of kernels. In the experiments, good co-schedules exhibit a speedup over serial schedules of as much as 37%.
TOPICAL NAME USED AS SUBJECT
Computer science
UNCONTROLLED SUBJECT TERMS
Subject Term
Applied sciences;Co-schedule;GPU;Kernel;Resource utilization;Slicing;Sppedup
PERSONAL NAME - PRIMARY RESPONSIBILITY
French, Aaron Thomas
PERSONAL NAME - SECONDARY RESPONSIBILITY
Rogers, Michael
CORPORATE BODY NAME - SECONDARY RESPONSIBILITY
Subdivision
Computer Science
Tennessee Technological University
LOCATION AND CALL NUMBER
Call Number
1868416825; 10241399
ELECTRONIC LOCATION AND ACCESS
Electronic name
مطالعه متن کتاب p
[Thesis]
276903
a
Y
