NDLI: Algorithm for Cooperative CPU-GPU Computing

Content Provider	IEEE Xplore Digital Library
Author	Aciu, R.-M. Ciocarlie, H.
Copyright Year	2013
Description	Author affiliation: Dept. of Comput. & Software Eng., Politeh. Univ. Timisoara, Timisoara, Romania (Aciu, R.-M.; Ciocarlie, H.)
Abstract	Many applications have modules which could benefit greatly from the massive parallel numeric computing power provided by GPUs. Renderers, signal processing or simulators are only a few such applications. Due to the weaknesses of the GPUs such as stackless execution model or poor capabilities for pointer exchange with the host, sometimes is not feasible to convert an entire algorithm for GPU, even if it is highly parallel and some of its parts can be greatly accelerated on GPU. In such situations a programmer should have a framework which allows him to split the code flow of a thread in parts and each of these parts will run on the most suitable computing resource, CPU or GPU. For GPU execution, multiple data from host threads will be collected, run on GPU and the results returned to the original threads so they will be able to resume execution on host. In this paper we propose such an algorithm, analyze it and evaluate its practical results.
Starting Page	352
Ending Page	358
File Size	343968
Page Count	7
File Format	PDF
ISBN	9781479930357
e-ISBN	9781479930364
DOI	10.1109/SYNASC.2013.53
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-23
Publisher Place	Romania
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	heterogeneous computing Instruction sets Graphics processing units Signal processing algorithms Data structures Synchronization cooperative multitasking Kernel Clocks algorithm
Content Type	Text
Resource Type	Article

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