Please use this identifier to cite or link to this item:
Title: Guppy: A GPU-like soft-core processor
Authors: Al-Dujaili, A.
Deragisch, F.
Hagiescu, A.
Wong, W.-F. 
Issue Date: 2012
Citation: Al-Dujaili, A.,Deragisch, F.,Hagiescu, A.,Wong, W.-F. (2012). Guppy: A GPU-like soft-core processor. FPT 2012 - 2012 International Conference on Field-Programmable Technology : 57-60. ScholarBank@NUS Repository.
Abstract: The popularity of GPU programming languages that explicitly express thread-level parallelism leads to the question of whether they can also be used for programming reconfigurable accelerators. This paper describes Guppy, a GPU-like softcore processor based on the in-order LEON3 core. Our long-term vision is to have a unified programming paradigm for accelerators - regardless of whether they are FPGA or GPU based. While others have explored this from a high level hardware synthesis perspective, we chose to adopt the approach of a parametrically reconfigurable softcore. We will discuss the main architecture features of Guppy, compare its performance to the original core. Our design has been synthesized on a Xilinx Virtex 5 FPGA. © 2012 IEEE.
Source Title: FPT 2012 - 2012 International Conference on Field-Programmable Technology
ISBN: 9781467328449
DOI: 10.1109/FPT.2012.6412112
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.


checked on Jan 19, 2019

Page view(s)

checked on Nov 24, 2018

Google ScholarTM



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