@c -*-texinfo-*-

@c This file is part of the StarPU Handbook.
@c Copyright (C) 2012  University of Bordeaux
@c See the file starpu.texi for copying conditions.

@menu
* Task size overhead::           Overhead of tasks depending on their size
* Data transfer latency::        Latency of data transfers
* Gemm::                         Matrix-matrix multiplication
* Cholesky::                     Cholesky factorization
* LU::                           LU factorization
@end menu

Some interesting benchmarks are installed among examples in
/usr/lib/starpu/examples . Make sure to try various schedulers, for instance
STARPU_SCHED=dmda

@node Task size overhead
@section Task size overhead

This benchmark gives a glimpse into how big a size should be for StarPU overhead
to be low enough.  Run @code{tasks_size_overhead.sh}, it will generate a plot
of the speedup of tasks of various sizes, depending on the number of CPUs being
used.

@node Data transfer latency
@section Data transfer latency

@code{local_pingpong} performs a ping-pong between the first two CUDA nodes, and
prints the measured latency.

@node Gemm
@section Matrix-matrix multiplication

@code{sgemm} and @code{dgemm} perform a blocked matrix-matrix
multiplication using BLAS and cuBLAS. They output the obtained GFlops.

@node Cholesky
@section Cholesky factorization

@code{cholesky*} perform a Cholesky factorization (single precision). They use different dependency primitives.

@node LU
@section LU factorization

@code{lu*} perform an LU factorization. They use different dependency primitives.