Nathalie Furmento
aae4029d83
INRIA is now called Inria
|
%!s(int64=7) %!d(string=hai) anos | |
|---|---|---|
| .. | ||
| audio | %!s(int64=7) %!d(string=hai) anos | |
| axpy | %!s(int64=7) %!d(string=hai) anos | |
| basic_examples | %!s(int64=7) %!d(string=hai) anos | |
| binary | %!s(int64=7) %!d(string=hai) anos | |
| callback | %!s(int64=7) %!d(string=hai) anos | |
| cg | %!s(int64=7) %!d(string=hai) anos | |
| cholesky | %!s(int64=7) %!d(string=hai) anos | |
| common | %!s(int64=10) %!d(string=hai) anos | |
| cpp | %!s(int64=7) %!d(string=hai) anos | |
| filters | %!s(int64=7) %!d(string=hai) anos | |
| fortran | %!s(int64=9) %!d(string=hai) anos | |
| fortran90 | %!s(int64=7) %!d(string=hai) anos | |
| gl_interop | %!s(int64=10) %!d(string=hai) anos | |
| heat | %!s(int64=7) %!d(string=hai) anos | |
| incrementer | %!s(int64=7) %!d(string=hai) anos | |
| interface | %!s(int64=7) %!d(string=hai) anos | |
| lu | %!s(int64=7) %!d(string=hai) anos | |
| mandelbrot | %!s(int64=8) %!d(string=hai) anos | |
| matvecmult | %!s(int64=7) %!d(string=hai) anos | |
| mlr | %!s(int64=7) %!d(string=hai) anos | |
| mult | %!s(int64=7) %!d(string=hai) anos | |
| native_fortran | %!s(int64=7) %!d(string=hai) anos | |
| openmp | %!s(int64=7) %!d(string=hai) anos | |
| pi | %!s(int64=7) %!d(string=hai) anos | |
| pipeline | %!s(int64=7) %!d(string=hai) anos | |
| ppm_downscaler | %!s(int64=7) %!d(string=hai) anos | |
| profiling | %!s(int64=7) %!d(string=hai) anos | |
| reductions | %!s(int64=7) %!d(string=hai) anos | |
| sched_ctx | %!s(int64=7) %!d(string=hai) anos | |
| sched_ctx_utils | %!s(int64=7) %!d(string=hai) anos | |
| scheduler | %!s(int64=7) %!d(string=hai) anos | |
| spmd | %!s(int64=7) %!d(string=hai) anos | |
| spmv | %!s(int64=7) %!d(string=hai) anos | |
| stencil | %!s(int64=7) %!d(string=hai) anos | |
| tag_example | %!s(int64=7) %!d(string=hai) anos | |
| top | %!s(int64=7) %!d(string=hai) anos | |
| worker_collections | %!s(int64=8) %!d(string=hai) anos | |
| .gitignore | %!s(int64=14) %!d(string=hai) anos | |
| Makefile.am | %!s(int64=7) %!d(string=hai) anos | |
| README.txt | %!s(int64=8) %!d(string=hai) anos | |
| loader-cross.sh.in | %!s(int64=9) %!d(string=hai) anos | |
README.txt
# StarPU --- Runtime system for heterogeneous multicore architectures.
#
# Copyright (C) 2016 Université de Bordeaux
# Copyright (C) 2016 CNRS
#
# 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
#
# Copyright (C) 2016 Université de Bordeaux
# Copyright (C) 2016 CNRS
#
# 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