Showing 5 of total 5 results (show query)
mllg
batchtools:Tools for Computation on Batch Systems
As a successor of the packages 'BatchJobs' and 'BatchExperiments', this package provides a parallel implementation of the Map function for high performance computing systems managed by schedulers 'IBM Spectrum LSF' (<https://www.ibm.com/products/hpc-workload-management>), 'OpenLava' (<https://www.openlava.org/>), 'Univa Grid Engine'/'Oracle Grid Engine' (<https://www.univa.com/>), 'Slurm' (<https://slurm.schedmd.com/>), 'TORQUE/PBS' (<https://adaptivecomputing.com/cherry-services/torque-resource-manager/>), or 'Docker Swarm' (<https://docs.docker.com/engine/swarm/>). A multicore and socket mode allow the parallelization on a local machines, and multiple machines can be hooked up via SSH to create a makeshift cluster. Moreover, the package provides an abstraction mechanism to define large-scale computer experiments in a well-organized and reproducible way.
Maintained by Michel Lang. Last updated 2 years ago.
batchexperimentsbatchjobsdocker-swarmhigh-performance-computinghpchpc-clusterslsfopenlavaparallel-computingreproducibilitysgeslurmtorque
12.6 match 175 stars 11.39 score 772 scripts 14 dependents
mschubert
clustermq:Evaluate Function Calls on HPC Schedulers (LSF, SGE, SLURM, PBS/Torque)
Evaluate arbitrary function calls using workers on HPC schedulers in single line of code. All processing is done on the network without accessing the file system. Remote schedulers are supported via SSH.
Maintained by Michael Schubert. Last updated 24 days ago.
clusterhigh-performance-computinglsfsgeslurmsshzeromq3cpp
4.8 match 149 stars 10.23 score 253 scripts
wlandau
crew.cluster:Crew Launcher Plugins for Traditional High-Performance Computing Clusters
In computationally demanding analysis projects, statisticians and data scientists asynchronously deploy long-running tasks to distributed systems, ranging from traditional clusters to cloud services. The 'crew.cluster' package extends the 'mirai'-powered 'crew' package with worker launcher plugins for traditional high-performance computing systems. Inspiration also comes from packages 'mirai' by Gao (2023) <https://github.com/shikokuchuo/mirai>, 'future' by Bengtsson (2021) <doi:10.32614/RJ-2021-048>, 'rrq' by FitzJohn and Ashton (2023) <https://github.com/mrc-ide/rrq>, 'clustermq' by Schubert (2019) <doi:10.1093/bioinformatics/btz284>), and 'batchtools' by Lang, Bischl, and Surmann (2017). <doi:10.21105/joss.00135>.
Maintained by William Michael Landau. Last updated 1 months ago.
crewhigh-performance-computing
5.3 match 28 stars 6.81 score 68 scripts
tudo-r
BatchJobs:Batch Computing with R
Provides Map, Reduce and Filter variants to generate jobs on batch computing systems like PBS/Torque, LSF, SLURM and Sun Grid Engine. Multicore and SSH systems are also supported. For further details see the project web page.
Maintained by Bernd Bischl. Last updated 3 years ago.
2.3 match 85 stars 8.57 score 616 scripts 3 dependents
certara-jcraig
Certara.NLME8:Utilities for Certara's Nonlinear Mixed-Effects Modeling Engine
Perform Nonlinear Mixed-Effects (NLME) Modeling using Certara's NLME-Engine. Access the same Maximum Likelihood engines used in the Phoenix platform, including algorithms for parametric methods, individual, and pooled data analysis <https://www.certara.com/app/uploads/2020/06/BR_PhoenixNLME-v4.pdf>. The Quasi-Random Parametric Expectation-Maximization Method (QRPEM) is also supported <https://www.page-meeting.org/default.asp?abstract=2338>. Execution is supported both locally or on remote machines. Remote execution includes support for Linux Sun Grid Engine (SGE), Terascale Open-source Resource and Queue Manager (TORQUE) grids, Linux and Windows multicore, and individual runs.
Maintained by James Craig. Last updated 5 months ago.
0.5 match 2.65 score 3 dependents