High-performance computing of 1/√xi and exp(±xi) for a vector of inputs xi on Alpha and IA-64 CPUs

  • Authors:

  • Md. Haidar Sharif;Achim Basermann;Christian Seidel;Axel Hunger

  • Affiliations:

  • ISE, Computer Engineering, University of Duisburg-Essen, 47057 Duisburg, Germany;NEC Europe Ltd., C&C Research Laboratories, 53757 Sankt Augustin, Germany;Max Planck Institute of Colloids and Interfaces, 14424 Potsdam, Germany;Technische Informatik, University of Duisburg-Essen, 47057 Duisburg, Germany

  • Venue:
  • Journal of Systems Architecture: the EUROMICRO Journal
  • Year:
  • 2008

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Abstract

The modern microprocessors have become more sophisticated, the performance of software on modern architectures has grown more and more difficult to dissect and prognosticate. The execution of a program nowadays entails the complex interaction of code, compiler and processor micro-architecture. The built-in functions to compute 1/x or exp(+/-x) of math library and hardware are often incapable of achieving the challenging performance of high-performance numerical computing. To meet this demand, the current trend in constructing high-performance numerical computing for specific processors Alpha 21264 & 21364, and IA-64 has been optimized for 1/x"i and exp(+/-x"i) for a vector of inputs x"i which is significantly faster than optimized library routines. A detailed deliberation of how the processor micro-architecture as well as the manual optimization techniques improve the computing performance has been developed.