Download Ad Oculus: Digital Image Processing, Student Version 2.0 by Henning Bassman PDF
By Henning Bassman
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J. Jim´enez et al. Diﬀerent kinds of scheduling algorithms have been tried. ﬁrst-free-based ones perform noticeably well for some cases; however they fail to do so for biased computations where one PE performs much better than the others. Performance predicting algorithms, being able to avoid these cases and better balancing the system load, perform consistently better. We intend to study new algorithms in order to further improve overall system performance. Additionally, other benchmarks with diﬀerent characteristics will be also tried.
IEEE Trans. Parallel Distrib. Syst. 4(2), 175–187 (1993) 15. : Multiprocessor scheduling with the aid of network ﬂow algorithms. IEEE Transactions on Software Engineering SE-3(1), 85–93 (1977) 16. : Mcuda: An eﬃcient implementation of cuda kernels on multi-cores. Technical Report IMPACT-08-01, University of Illinois at Urbana-Champaign (March 2008) 17. : Modern Operating Systems. Prentice Hall PTR, Upper Saddle River (2001) 18. : Distributed Systems: Principles and Paradigms, 2nd edn. , Upper Saddle River (2006) 19.
Indeed, that level seems a good choice for the programmer to provide both versions of the code (CPU and GPU). It it important to mention that the generation of function versions for every PE is orthogonal to this work and it is expected for future compilers to be able to generate multiple versions which can be adaptively used at runtime. [6,7] Additionally, there are already studies which allow to automatically generate a function version for one PE given the version for another PE.  The code scheduler has been implemented as a dynamic library for the GNU/ Linux OS.