2026-09-19T02:18:00Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/73103 2023-07-11 col_2142_8888 col_2142_5131 com_2142_8887 com_2142_234 com_2142_5130

Chen, Deming Dhar, Ashutosh 2015-01-21T19:59:31Z 2015-01-21T19:59:31Z 2017-01-22T10:15:40Z 2014-12 2015-01-21 2014-12 General purpose graphics processing unit (GPU) computing (GPGPU) has emerged as a new paradigm for programmers to exploit massive amounts of parallelism for relatively low costs. The abundance of GPUs in desktop and mobile computing platforms makes them ideal for accelerating tasks on multiple devices. However, despite the massively parallel architecture, GPUs are limited by the applications that run on them. The generic architecture of a GPU allows it to accelerate a large variety of applications, but none of these applications are capable of exploiting the complete performance capabilities of the GPU. This underutilization results in wastage of resources and power. In this work, we propose to introduce reconfiguration to the GPU architecture in the hopes of being able to tune its architecture to maximize performance for a given application or redistribute resources so as to reduce power consumption. Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2014-12-11T14:31:05Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 1 Dhar_Ashutosh.pdf: 335169 bytes, checksum: 2337310aac958754ede3e93030cca2fc (MD5) Made available in DSpace on 2015-01-21T19:59:31Z (GMT). No. of bitstreams: 1 Ashutosh_Dhar.pdf: 335169 bytes, checksum: 2337310aac958754ede3e93030cca2fc (MD5) Embargo set by: Seth Robbins for item 73292 Lift date: 2017-01-21T19:59:39Z Reason: Author requested closed access (OA after 2yrs) in Vireo ETD system Limited Restriction Lifted for Item 73292 on 2017-01-22T10:15:40Z. http://hdl.handle.net/2142/73103 en Copyright 2014 Ashutosh Dhar Graphics Processing Unit (GPU) General Purpose Graphics Processing Unit (GPGPU) Reconfigurable Computing Architecture Compute Unified Device Architecture (CUDA) The case for reconfigurable general purpose GPU computing text Electrical & Computer Eng 1933 Electrical & Computer Engr 1200 University of Illinois at Urbana-Champaign Thesis M.S. MS:Electr & Computer Eng-UIUC 10KS1200MS