stereopsis: know your FPU
Know your FPU Michael Herf April 5, 2000 back Lots of people write floating-point code without knowing what can make it slow. I've been using x86 floating-point for a while, and this article should explain some of the basic tricks that I know. First, there are two major bottlenecks to making code run fast on the P2/P3 chips. Here are the top two: 1. Know how and why to turn on single precision. 2.
Java BLAS Interface)
Draft Proposal for Java BLAS Interface Roldan Pozo National Institute of Standards and Technology The Basic Linear Algebra Subprograms (BLAS) library provides computational kernels for several of the fundamental linear algebra operations, such as matrix-multiply, the solution of triangular systems, and simple vector operations. Java BLAS conventions Java memory model Subvectors and 0/1 indexing Co
Java Numerics: Main
The JavaNumerics page provides a focal point for information on numerical computing in Java. This is an activity of the Java Grande Forum Numerics Working Group, chaired by Ron Boisvert and Roldan Pozo. Note. Some of the links below will take you away from NIST webspace. We are providing these links because we think they will be of interest to you; however, the views expressed and the decisions re
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