DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MCSE.2008.87
Over the course of a three-part series, the authors will walk through the implementation of a simple but computationally intensive algorithm and show how a series of incremental refinements to the code yields significant performance gains. In this first installment, they concentrate on instruction selection and scheduling. 1. J.L. Hennessy and D.A. Patterson, Computer Architecture: A Quantitative Approach, 3rd ed., Morgan Kaufmann, 2003.
Index Terms:
orientational correlation function algorithms, computational science, computer architecture, education
Citation:
Cosmin Pancratov, Jacob M. Kurzer, Kelly A. Shaw, Matthew L. Trawick, "Why Computer Architecture Matters," Computing in Science and Engineering, vol. 10, no. 3, pp. 59-63, May/June 2008, doi:10.1109/MCSE.2008.87 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||