Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Performance Analysis of Fermi GPU Architecture

Authors
Lim, Ji HyukKim, Dong Kyue
Issue Date
Jul-2011
Publisher
MITA2011
Keywords
GPGPU; Fermi Architecture; Grobal memory; Binary search
Citation
Conference Proceedings MITA 2011, v.MITA2011 Proceeding, no. , pp.146 - 147
Indexed
OTHER
Journal Title
Conference Proceedings MITA 2011
Volume
MITA2011 Proceeding
Start Page
146
End Page
147
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/167962
Abstract
NVIDIA introduced a GPU (Graphic Processing Unit) architecture called G80 for GPGPU (General Purpose computing on GPU) in 2006; however, performance is not good because of delay time for accessing off-chip memory. To complement this defect, Fermi architecture was introduced in 2009. In this paper, we analyze the difference between G80 and Fermi architecture, and propose the implementation method.
Files in This Item
Go to Link
Appears in
Collections
서울 공과대학 > 서울 융합전자공학부 > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Kim, Dong Kyue photo

Kim, Dong Kyue
COLLEGE OF ENGINEERING (SCHOOL OF ELECTRONIC ENGINEERING)
Read more

Altmetrics

Total Views & Downloads

BROWSE