_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/

Enter the query into the form above. You can look for specific version of a package by using @ symbol like this: gcc@10.

API method:

GET /api/packages?search=hello&page=1&limit=20

where search is your query, page is a page number and limit is a number of items on a single page. Pagination information (such as a number of pages and etc) is returned in response headers.

If you'd like to join our channel webring send a patch to ~whereiseveryone/toys@lists.sr.ht adding your channel as an entry in channels.scm.


librsb 1.3
Dependencies: m4@1.4.19 libtool@2.4.7 autoconf@2.69 automake@1.17 which@2.21
Channel: guix-hpc
Location: lrz/librsb.scm (lrz librsb)
Home page: http://librsb.sourceforge.net/
Licenses: LGPL 3+
Synopsis: librsb: A shared memory parallel sparse matrix computations library for the Recursive Sparse Blocks format
Description:

librsb is a library for sparse matrix computations featuring the Recursive Sparse Blocks (RSB) matrix format. This format allows cache efficient and multi-threaded (that is, shared memory parallel) operations on large sparse matrices. The most common operations necessary to iterative solvers are available, e.g.: matrix-vector multiplication, triangular solution, rows/columns scaling, diagonal extraction / setting, blocks extraction, norm computation, formats conversion. The RSB format is especially well suited for symmetric and transposed multiplication variants. Most numerical kernels code is auto generated, and the supported numerical types can be chosen by the user at build time. librsb can also be built serially (without OpenMP parallelism), if required. librsb also implements the Sparse BLAS standard, as specified in the [BLAS Technical Forum] documents.

mongoose 2.0.4
Channel: guix-hpc
Location: mongoose/mongoose.scm (mongoose mongoose)
Home page: https://github.com/ScottKolo/Mongoose
Licenses: GPL 3
Synopsis: Graph Coarsening and Partitioning Library
Description:

Mongoose is a graph partitioning library. Currently, Mongoose only supports edge partitioning, but in the future a vertex separator extension will be added.

nachos 4.0
Dependencies: grep@3.11 sed@4.9 bash@5.2.37
Channel: guix-hpc
Location: teaching/nachos.scm (teaching nachos)
Home page: https://gitlab.inria.fr/agullo-teach/ub/m1/nachos
Licenses: Modified BSD
Synopsis: Not Another Completely Heuristic Operating System (Nachos) - Kernel part only
Description:

Not Another Completely Heuristic Operating System, or Nachos, is instructional software for teaching undergraduate, and potentially graduate level operating systems courses. As this stage, the package only processes the kernel part (but not the ./test/ part).

pageng 1.3.6
Dependencies: asciidoc@9.1.0 boost@1.83.0 r@4.5.0 recutils@1.9
Channel: guix-hpc
Location: ufrgs/ufrgs.scm (ufrgs ufrgs)
Home page: https://github.com/schnorr/pajeng
Licenses: GPL 3+
Synopsis: PajeNG - Trace Visualization Tool
Description:

PajeNG (Paje Next Generation) is a re-implementation (in C++) and direct heir of the well-known Paje visualization tool for the analysis of execution traces (in the Paje File Format) through trace visualization (space/time view). The tool is released under the GNU General Public License 3. PajeNG comprises the libpaje library, and a set of auxiliary tools to manage Paje trace files (such as pj_dump and pj_validate). The space-time visualization tool called pajeng is deprecated (removed from the sources) since modern tools do a better job (see pj_gantt, for instance, or take a more general approach using R+ggplot2 to visualize the output of pj_dump). This effort was started as part of the french INFRA-SONGS ANR project. Development has continued through a collaboration between INF/UFRGS and INRIA.

alya 2.9.0
Dependencies: openmpi@4.1.6 openssh@10.2p1 composyx@1.4.1 openblas@0.3.30
Channel: guix-hpc-non-free
Location: bsc/alya.scm (bsc alya)
Home page: https://gitlab.com/bsc-alya/alya
Licenses:
Synopsis: Alya - High Performance Computational Mechanics
Description:

Alya is a high performance computational mechanics code to solve complex coupled multi-physics / multi-scale / multi-domain problems, which are mostly coming from the engineering realm. Among the different physics solved by Alya we can mention: incompressible/compressible flows, non-linear solid mechanics, chemistry, particle transport, heat transfer, turbulence modeling, electrical propagation, etc.

slurm-17.11 17.11.7
Dependencies: freeipmi@1.6.16 hwloc@1.11.13 json-c@0.18 linux-pam@1.5.2 munge@0.5.14 numactl@2.0.16 readline@8.2.13
Channel: guix-hpc-non-free
Location: bsc/slurm17.scm (bsc slurm17)
Home page: https://slurm.schedmd.com/
Licenses: FreeBSD Expat ISC LGPL 2.1+ Zlib GPL 2+
Synopsis: Workload manager for cluster computing
Description:

SLURM is a fault-tolerant and highly scalable cluster management and job scheduling system for large and small clusters. It allocates access to resources (computer nodes) to users for some duration of time, provides a framework for starting, executing, and monitoring work (typically a parallel job) on a set of allocated nodes, and arbitrates contention for resources by managing a queue of pending work.

avbp-tests 1
Dependencies: avbp@7.15.4 avbp-test-suite@1
Channel: guix-hpc-non-free
Location: guix-hpc-non-free/packages/avbp.scm (guix-hpc-non-free packages avbp)
Home page: https://www.cerfacs.fr/avbp7x/index.php
Licenses:
Synopsis: AVBP test package
Description:

This is a package used to run an AVBP test suite.

avbp 7.15.4
Dependencies: hdf5-parallel-openmpi@1.14.6 hdf5-parallel-openmpi@1.14.6 metis4parmetis-r64@4.0.3 openblas@0.3.30 parmetis-r64@4.0.3 coreutils-minimal@9.1 perl@5.36.0 python-wrapper@3.11.11 avbp-license@1
Channel: guix-hpc-non-free
Location: guix-hpc-non-free/packages/avbp.scm (guix-hpc-non-free packages avbp)
Home page: https://www.cerfacs.fr/avbp7x/index.php
Licenses:
Synopsis: 3D Navier-Stokes compressible DNS/LES solver
Description:

AVBP is a 3D Navier-Stokes compressible DNS/LES solver co-developped by CERFACS and IFP-EN until version 7.3. Since, CERFACS ensures the alone development and improvement of the code.

osu-micro-benchmarks-cuda 7.5.1
Dependencies: cuda-toolkit@12.9.1 openmpi-cuda@4.1.6 nccl@2.27.6-1
Channel: guix-hpc-non-free
Location: guix-hpc-non-free/packages/benchmark.scm (guix-hpc-non-free packages benchmark)
Home page: https://mvapich.cse.ohio-state.edu/benchmarks/
Licenses: Modified BSD
Synopsis: MPI microbenchmarks with CUDA support.
Description:

A collection of host-based and device-based microbenchmarks for MPI communication with CUDA support.

kokkos-cuda-a40 4.6.02
Dependencies: cuda-toolkit@12.9.1 gcc@14.3.0 hwloc@2.12.2 memkind@1.13.0
Channel: guix-hpc-non-free
Location: guix-hpc-non-free/packages/cpp.scm (guix-hpc-non-free packages cpp)
Home page: https://github.com/kokkos/kokkos
Licenses: ASL 2.0
Synopsis: C++ abstractions for parallel execution and data management
Description:

Kokkos Core implements a programming model in C++ for writing performance portable applications targeting all major HPC platforms. For that purpose it provides abstractions for both parallel execution of code and data management. Kokkos is designed to target complex node architectures with N-level memory hierarchies and multiple types of execution resources.

kokkos-cuda-v100 4.6.02
Dependencies: cuda-toolkit@12.9.1 gcc@14.3.0 hwloc@2.12.2 memkind@1.13.0
Channel: guix-hpc-non-free
Location: guix-hpc-non-free/packages/cpp.scm (guix-hpc-non-free packages cpp)
Home page: https://github.com/kokkos/kokkos
Licenses: ASL 2.0
Synopsis: C++ abstractions for parallel execution and data management
Description:

Kokkos Core implements a programming model in C++ for writing performance portable applications targeting all major HPC platforms. For that purpose it provides abstractions for both parallel execution of code and data management. Kokkos is designed to target complex node architectures with N-level memory hierarchies and multiple types of execution resources.

kokkos-cuda-t4 4.6.02
Dependencies: cuda-toolkit@12.9.1 gcc@14.3.0 hwloc@2.12.2 memkind@1.13.0
Channel: guix-hpc-non-free
Location: guix-hpc-non-free/packages/cpp.scm (guix-hpc-non-free packages cpp)
Home page: https://github.com/kokkos/kokkos
Licenses: ASL 2.0
Synopsis: C++ abstractions for parallel execution and data management
Description:

Kokkos Core implements a programming model in C++ for writing performance portable applications targeting all major HPC platforms. For that purpose it provides abstractions for both parallel execution of code and data management. Kokkos is designed to target complex node architectures with N-level memory hierarchies and multiple types of execution resources.

kokkos-cuda-a100 4.6.02
Dependencies: cuda-toolkit@12.9.1 gcc@14.3.0 hwloc@2.12.2 memkind@1.13.0
Channel: guix-hpc-non-free
Location: guix-hpc-non-free/packages/cpp.scm (guix-hpc-non-free packages cpp)
Home page: https://github.com/kokkos/kokkos
Licenses: ASL 2.0
Synopsis: C++ abstractions for parallel execution and data management
Description:

Kokkos Core implements a programming model in C++ for writing performance portable applications targeting all major HPC platforms. For that purpose it provides abstractions for both parallel execution of code and data management. Kokkos is designed to target complex node architectures with N-level memory hierarchies and multiple types of execution resources.

kokkos-cuda-k40 4.6.02
Dependencies: cuda-toolkit@11.8.0 gcc@11.5.0 hwloc@2.12.2 memkind@1.13.0
Channel: guix-hpc-non-free
Location: guix-hpc-non-free/packages/cpp.scm (guix-hpc-non-free packages cpp)
Home page: https://github.com/kokkos/kokkos
Licenses: ASL 2.0
Synopsis: C++ abstractions for parallel execution and data management
Description:

Kokkos Core implements a programming model in C++ for writing performance portable applications targeting all major HPC platforms. For that purpose it provides abstractions for both parallel execution of code and data management. Kokkos is designed to target complex node architectures with N-level memory hierarchies and multiple types of execution resources.

kokkos-cuda-ada 4.6.02
Dependencies: cuda-toolkit@12.9.1 gcc@14.3.0 hwloc@2.12.2 memkind@1.13.0
Channel: guix-hpc-non-free
Location: guix-hpc-non-free/packages/cpp.scm (guix-hpc-non-free packages cpp)
Home page: https://github.com/kokkos/kokkos
Licenses: ASL 2.0
Synopsis: C++ abstractions for parallel execution and data management
Description:

Kokkos Core implements a programming model in C++ for writing performance portable applications targeting all major HPC platforms. For that purpose it provides abstractions for both parallel execution of code and data management. Kokkos is designed to target complex node architectures with N-level memory hierarchies and multiple types of execution resources.

kokkos-cuda-p100 4.6.02
Dependencies: cuda-toolkit@12.9.1 gcc@14.3.0 hwloc@2.12.2 memkind@1.13.0
Channel: guix-hpc-non-free
Location: guix-hpc-non-free/packages/cpp.scm (guix-hpc-non-free packages cpp)
Home page: https://github.com/kokkos/kokkos
Licenses: ASL 2.0
Synopsis: C++ abstractions for parallel execution and data management
Description:

Kokkos Core implements a programming model in C++ for writing performance portable applications targeting all major HPC platforms. For that purpose it provides abstractions for both parallel execution of code and data management. Kokkos is designed to target complex node architectures with N-level memory hierarchies and multiple types of execution resources.

gitlab-runner 17.9.0
Dependencies: git@2.51.0 bash@5.2.37
Channel: guix-hpc-non-free
Location: guix-hpc-non-free/packages/gitlab.scm (guix-hpc-non-free packages gitlab)
Home page: https://gitlab.com/gitlab-org/gitlab-runner
Licenses: Expat
Synopsis: Gitlab Runner
Description:

The official GitLab Runner written in Go. It runs tests and sends the results to GitLab. GitLab CI is the open-source continuous integration service included with GitLab that coordinates the testing.

gyselalibxx-cuda-a100 0.3.0
Dependencies: cuda-toolkit@12.9.1 ddc@0.9.0 eigen@3.4.0 fftw@3.3.10 fftwf@3.3.10 ginkgo-cuda-12@1.10.0 hdf5@1.14.6 kokkos-cuda-a100@4.6.02 kokkos-fft@0.3.0 kokkos-kernels@4.6.02 libyaml@0.2.5 mdspan@0.6.0 openmpi@4.1.6 openblas@0.3.30 paraconf@1.0.0
Propagated dependencies: pdi@1.9.2 pdiplugin-decl-hdf5-parallel@1.9.2 pdiplugin-set-value@1.9.2 pdiplugin-mpi@1.9.2
Channel: guix-hpc-non-free
Location: guix-hpc-non-free/packages/gysela.scm (guix-hpc-non-free packages gysela)
Home page: https://gyselax.github.io/
Licenses: FreeBSD
Synopsis: Collection of C++ components for writing gyrokinetic semi-lagrangian codes
Description:

Gyselalib++ is a collection of C++ components for writing gyrokinetic semi-lagrangian codes and similar as well as a collection of such codes.

gyselalibxx-cuda-p100 0.3.0
Dependencies: cuda-toolkit@12.9.1 ddc@0.9.0 eigen@3.4.0 fftw@3.3.10 fftwf@3.3.10 ginkgo-cuda-12@1.10.0 hdf5@1.14.6 kokkos-cuda-p100@4.6.02 kokkos-fft@0.3.0 kokkos-kernels@4.6.02 libyaml@0.2.5 mdspan@0.6.0 openmpi@4.1.6 openblas@0.3.30 paraconf@1.0.0
Propagated dependencies: pdi@1.9.2 pdiplugin-decl-hdf5-parallel@1.9.2 pdiplugin-set-value@1.9.2 pdiplugin-mpi@1.9.2
Channel: guix-hpc-non-free
Location: guix-hpc-non-free/packages/gysela.scm (guix-hpc-non-free packages gysela)
Home page: https://gyselax.github.io/
Licenses: FreeBSD
Synopsis: Collection of C++ components for writing gyrokinetic semi-lagrangian codes
Description:

Gyselalib++ is a collection of C++ components for writing gyrokinetic semi-lagrangian codes and similar as well as a collection of such codes.

gyselalibxx-cuda-v100 0.3.0
Dependencies: cuda-toolkit@12.9.1 ddc@0.9.0 eigen@3.4.0 fftw@3.3.10 fftwf@3.3.10 ginkgo-cuda-12@1.10.0 hdf5@1.14.6 kokkos-cuda-v100@4.6.02 kokkos-fft@0.3.0 kokkos-kernels@4.6.02 libyaml@0.2.5 mdspan@0.6.0 openmpi@4.1.6 openblas@0.3.30 paraconf@1.0.0
Propagated dependencies: pdi@1.9.2 pdiplugin-decl-hdf5-parallel@1.9.2 pdiplugin-set-value@1.9.2 pdiplugin-mpi@1.9.2
Channel: guix-hpc-non-free
Location: guix-hpc-non-free/packages/gysela.scm (guix-hpc-non-free packages gysela)
Home page: https://gyselax.github.io/
Licenses: FreeBSD
Synopsis: Collection of C++ components for writing gyrokinetic semi-lagrangian codes
Description:

Gyselalib++ is a collection of C++ components for writing gyrokinetic semi-lagrangian codes and similar as well as a collection of such codes.

gyselalibxx-cuda-k40 0.3.0
Dependencies: cuda-toolkit@11.8.0 ddc@0.9.0 eigen@3.4.0 fftw@3.3.10 fftwf@3.3.10 ginkgo-cuda-11@1.10.0 hdf5@1.14.6 kokkos-cuda-k40@4.6.02 kokkos-fft@0.3.0 kokkos-kernels@4.6.02 libyaml@0.2.5 mdspan@0.6.0 openmpi@4.1.6 openblas@0.3.30 paraconf@1.0.0
Propagated dependencies: pdi@1.9.2 pdiplugin-decl-hdf5-parallel@1.9.2 pdiplugin-set-value@1.9.2 pdiplugin-mpi@1.9.2
Channel: guix-hpc-non-free
Location: guix-hpc-non-free/packages/gysela.scm (guix-hpc-non-free packages gysela)
Home page: https://gyselax.github.io/
Licenses: FreeBSD
Synopsis: Collection of C++ components for writing gyrokinetic semi-lagrangian codes
Description:

Gyselalib++ is a collection of C++ components for writing gyrokinetic semi-lagrangian codes and similar as well as a collection of such codes.

fmr-mpi 0.3
Dependencies: zlib@1.3.1 bzip2@1.0.8 hdf5-parallel-openmpi@1.14.6 intel-oneapi-mkl@2023.2.0 chameleon-mkl-mt@1.3.0 openmpi@4.1.6
Channel: guix-hpc-non-free
Location: guix-hpc-non-free/packages/solverstack.scm (guix-hpc-non-free packages solverstack)
Home page: https://gitlab.inria.fr/compose/legacystack/fmr
Licenses: CeCILL-C
Synopsis: Fast and accurate Methods for Randomized numerical linear algebra
Description:

This project provides routines for performing low-rank matrix approximations based on randomized techniques.

mini-chameleon-cuda 0.2.0
Dependencies: cuda-toolkit@12.9.1 starpu-cuda@1.4.12 openblas@0.3.30 openmpi@4.1.6
Propagated dependencies: openmpi-cuda@4.1.6
Channel: guix-hpc-non-free
Location: guix-hpc-non-free/packages/solverstack.scm (guix-hpc-non-free packages solverstack)
Home page: https://gitlab.inria.fr/solverstack/mini-examples/mini-chameleon/
Licenses: CeCILL-C
Synopsis: Educational-purpose dense linear algebra solver
Description:

Mini-chameleon is an educational purpose dense linear algebra solver. As provided, it essentially provides drivers while the actual computational routines remain to be completed. The goal is to implement a dense matrix-matrix product and an LU factorization, first targeting a sequential implementation, followed by an simd version, a shared-memory openmp one, a distributed memory MPI one, an MPI+openmp one and a runtime-based starpu one.

chameleon-cuda-mkl-mt 1.3.0
Dependencies: cuda-toolkit@12.9.1 intel-oneapi-mkl@2023.2.0 starpu-cuda@1.4.12 openmpi-cuda@4.1.6
Channel: guix-hpc-non-free
Location: guix-hpc-non-free/packages/solverstack.scm (guix-hpc-non-free packages solverstack)
Home page: https://gitlab.inria.fr/solverstack/chameleon
Licenses: CeCILL-C
Synopsis: Dense linear algebra solver
Description:

Chameleon is a dense linear algebra solver relying on sequential task-based algorithms where sub-tasks of the overall algorithms are submitted to a run-time system. Such a system is a layer between the application and the hardware which handles the scheduling and the effective execution of tasks on the processing units. A run-time system such as StarPU is able to manage automatically data transfers between not shared memory area (CPUs-GPUs, distributed nodes).

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Total results: 45109