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15.0 > Development > StarPU (1.3.9)

  StarPU is a runtime system that offers support for heterogeneous
multicore machines. While many efforts are devoted to design
efficient computation kernels for those architectures (e.g. to
implement BLAS kernels on GPUs), StarPU not only takes care of
offloading such kernels (and implementing data coherency across
the machine), but it also makes sure the kernels are executed as
efficiently as possible.

For enabling HWLOC set HWLOC=yes (this requires hwloc)
For enabling OpenMP set OMP=yes
For enabling trace support set FXT=yes (requires libfxt)
For enabling HDF5 set HDF5=yes (requires hdf5)
For enabling cluster support set CLUSTER=yes

Optional requirements (auto-detect)
- blas
- MPI (mpich or openmpi)

Maintained by: William PC
Keywords: heterogeneous,multicore,manycore,gpgpu,cluster,task programming
ChangeLog: StarPU

Homepage:
https://starpu.gitlabpages.inria.fr

Source Downloads:
starpu-starpu-1.3.9.tar.gz (a05d28ed3f9e476ca66f1396addd411c)

Download SlackBuild:
StarPU.tar.gz
StarPU.tar.gz.asc (FAQ)

(the SlackBuild does not include the source)

Individual Files:
README
StarPU.SlackBuild
StarPU.info
slack-desc

Validated for Slackware 15.0

See our HOWTO for instructions on how to use the contents of this repository.

Access to the repository is available via:
ftp git cgit http rsync

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