eigen

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Gael Guennebaud 1985fb0551 Added initial experimental support for explicit vectorization.

Currently only the following platform/operations are supported:
 - SSE2 compatible architecture
 - compiler compatible with intel's SSE2 intrinsics
 - float, double and int data types
 - fixed size matrices with a storage major dimension multiple of 4 (or 2 for double)
 - scalar-matrix product, component wise: +,-,*,min,max
 - matrix-matrix product only if the left matrix is vectorizable and column major
   or the right matrix is vectorizable and row major, e.g.:
   a.transpose() * b is not vectorized with the default column major storage.
To use it you must define EIGEN_VECTORIZE and EIGEN_INTEL_PLATFORM.

2008-04-09 12:31:55 +00:00

bench

- merge ei_xpr_copy and ei_eval_if_needed_before_nesting

2008-04-06 18:01:03 +00:00

disabled

-new: recursive costs system, useful to determine automatically

2008-04-03 11:10:17 +00:00

doc

-new: recursive costs system, useful to determine automatically

2008-04-03 11:10:17 +00:00

Eigen

Added initial experimental support for explicit vectorization.