KOCL: Kernel-level power estimation for arbitrary FPGA-SoC-accelerated OpenCL applications

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Title: KOCL: Kernel-level power estimation for arbitrary FPGA-SoC-accelerated OpenCL applications
Authors: Davis, JJ
Levine, J
Stott, E
Hung, E
Cheung, P
Constantinides, G
Item Type: Conference Paper
Abstract: This work presents KOCL, a fully automated tool flow and accompanying software, accessible through a minimalist API, allowing OpenCL developers targetting FPGA-SoC devices to obtain kernel-level power estimates for their applications via function calls in their host code. KOCL is open-source, available with example applications at https://github.com/PRiME-project/KOCL. In order to maximise accessibility, KOCL necessitates no user exposure to hardware whatsoever.
Issue Date: 14-May-2018
Date of Acceptance: 21-Mar-2018
URI: http://hdl.handle.net/10044/1/58759
Publisher: ACM
Copyright Statement: This paper is embargoed until publication.
Sponsor/Funder: Engineering & Physical Science Research Council (E
Funder's Grant Number: 11908 (EP/K034448/1)
Conference Name: International Workshop on OpenCL (IWOCL) 2018
Publication Status: Accepted
Start Date: 2018-05-14
Finish Date: 2018-05-16
Conference Place: Oxford, UK
Embargo Date: publication subject to indefinite embargo
Appears in Collections:Faculty of Engineering
Electrical and Electronic Engineering



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