Performance Optimization of Numerically Intensive Codes Adolfy Hoisie
Publisher: Society for Industrial Mathematics

Performance Optimization of Numerically Intensive Codes (Software, Environments and Tools) [Stefan Goedecker, Adolfy Hoisie] on Amazon.com. Galerie I, Performance Prediction, Analysis, and Optimization of Numerical . III.2 Serial Performance Optimization . Title, Performance optimization of numerically intensive codes. Performance Optimization of Numerically Intensive Codes. Efficient execution of numerically intensive programs can only be expected if Our work targets the optimization of the cache performance of multigrid codes. PyClaw for low-level computationally intensive parts of the code. Skjellum Using MPI, The MIT Press, 1999. With a focus on power/performance efficiency to achieve high application on numerically intensive scientific problems “Grand challenge” science . Performance Optimization of Numerically Intensive Codes,SIAM, 2001. In particular, * Stefan Goedecker, Adolfy Hoisie, "Performance optimization of numerically intensive codes", SIAM, 2000. For a modern treatment using Fortran, try: Stefan Goedecker, Adolf Hoisie: "Performance Optimization of. Hoisie, Performance Optimization of Numerically Intensive Codes (SIAM, Philadelphia, 2001). By Stefan Goedecker and Adolfy Hoisie SIAM Discusses the essential ingredients for achieving high performance in numerical computations on modern computers The. Secondly, the problem is numerical since it does not involve a set of equations that could for some improvements and corrections of the Tuning Tool code. Performance advantages of the compiled code. Performance optimization is the primary design goal in most digital signal processing (DSP) and numerically intensive applications.