# StarPU --- Runtime system for heterogeneous multicore architectures.
#
# Copyright (C) 2016,2017                                CNRS
# Copyright (C) 2015,2016                                Université de Bordeaux
#
# StarPU is free software; you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License as published by
# the Free Software Foundation; either version 2.1 of the License, or (at
# your option) any later version.
#
# StarPU is distributed in the hope that it will be useful, but
# WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
#
# See the GNU Lesser General Public License in COPYING.LGPL for more details.
#
audio
	This applies a simple band filter over audio files
axpy
	This computes the AXPY BLAS over a big vector
basic_examples
        This contains very trivial examples: hello world, scaling a vector, etc.
binary
	This shows how to store and load compiled OpenCL kernels on and from the
	file system
callback
	This shows how to use task callbacks
cg
	This computes a Conjugate Gradient
cholesky
	This computes a Cholesky factorization
common
	This holds common code for BLAS kernels
cpp
	This shows how to use StarPU from C++
filters
	This contains several partitioning examples
fortran90
	This shows how to use StarPU from Fortran90
gl_interop
	This shows how interoperation can be done between StarPU CUDA
	computations and OpenGL rendering
heat
        This uses a finite element method to compute heat propagation thanks to
        an LU factorization or a conjugate gradient
incrementer
	This just increments a variable
interface
        This shows how to implement a user-defined data type, here simply
        complex floats
lu
	This computes an LU factorization
mandelbrot
	This computes and outputs the mandelbrot set
matvecmult
	This computes a matrix-vector multiplication
mult
	This computes a matrix-matrix multiplication
openmp
	This shows how to use an OpenMP code inside a StarPU parallel task
pi
	This computes Pi thanks to random numbers
pipeline
	This shows how to submit a pipeline to StarPU with limited buffer
	use, and avoiding submitted all the tasks at once
ppm_downscaler
	This downscales PPM pictures
profiling
        This examplifies how to get profiling information on executed tasks
reductions
	This examplifies how to use value reductions
sched_ctx
	This examplifies how to use scheduling contexts
sched_ctx_utils
	This is just common code for scheduling contexts
scheduler
	This examplifies how to implement a user-defined scheduler
spmd
	This shows how to define a parallel task
spmv
	This computes a sparse matrix-vector multiplication
stencil
	This computes a dumb 3D stencil with 1D subdomain decomposition
tag_example
	This examplifies how to use tags for dependencies
top
	This examplifies how to enrich StarPU-top with information
worker_collections
	This examplifies how to use worker collections