Please use this identifier to cite or link to this item: https://doi.org/10.1109/FPT.2012.6412112
Title: Guppy: A GPU-like soft-core processor
Authors: Al-Dujaili, A.
Deragisch, F.
Hagiescu, A.
Wong, W.-F. 
Issue Date: 2012
Source: 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. https://doi.org/10.1109/FPT.2012.6412112
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
URI: http://scholarbank.nus.edu.sg/handle/10635/40852
ISBN: 9781467328449
DOI: 10.1109/FPT.2012.6412112
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