Samuel Thibault
cd4a651f76
Fix cuda/opencl/cuda/mic/mpims ordering coherency
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4 年 前 | |
|---|---|---|
| .. | ||
| api | 4 年 前 | |
| audio | 5 年 前 | |
| axpy | 4 年 前 | |
| basic_examples | 4 年 前 | |
| binary | 4 年 前 | |
| callback | 5 年 前 | |
| cg | 5 年 前 | |
| cholesky | 4 年 前 | |
| common | 5 年 前 | |
| cpp | 4 年 前 | |
| dependency | 5 年 前 | |
| filters | 4 年 前 | |
| fortran | 5 年 前 | |
| fortran90 | 5 年 前 | |
| gl_interop | 4 年 前 | |
| heat | 5 年 前 | |
| incrementer | 4 年 前 | |
| interface | 4 年 前 | |
| lu | 4 年 前 | |
| mandelbrot | 5 年 前 | |
| matvecmult | 4 年 前 | |
| mlr | 4 年 前 | |
| mult | 4 年 前 | |
| native_fortran | 4 年 前 | |
| openmp | 5 年 前 | |
| perf_monitoring | 5 年 前 | |
| perf_steering | 4 年 前 | |
| pi | 4 年 前 | |
| pipeline | 5 年 前 | |
| ppm_downscaler | 5 年 前 | |
| profiling | 5 年 前 | |
| reductions | 4 年 前 | |
| sched_ctx | 4 年 前 | |
| sched_ctx_utils | 5 年 前 | |
| scheduler | 4 年 前 | |
| spmd | 5 年 前 | |
| spmv | 4 年 前 | |
| stencil | 4 年 前 | |
| tag_example | 5 年 前 | |
| worker_collections | 5 年 前 | |
| .gitignore | 14 年 前 | |
| Jenkinsfile | 4 年 前 | |
| Makefile.am | 4 年 前 | |
| README.txt | 5 年 前 | |
| loader-cross.sh.in | 9 年 前 | |
README.txt
# StarPU --- Runtime system for heterogeneous multicore architectures.
#
# Copyright (C) 2015-2020 Université de Bordeaux, CNRS (LaBRI UMR 5800), Inria
#
# 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) 2015-2020 Université de Bordeaux, CNRS (LaBRI UMR 5800), Inria
#
# 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