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.

Python-pathos is a framework for heterogeneous computing. It provides a consistent high-level interface for configuring and launching parallel computations across heterogeneous resources. Python-pathos provides configurable launchers for parallel and distributed computing, where each launcher contains the syntactic logic to configure and launch jobs in an execution environment.

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.

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.

xjobs reads job descriptions line by line and executes them in parallel. It limits the number of parallel executing jobs and starts new jobs when jobs finish.

This package implements Jupyter/IPython magic commands for interacting with the SLURM workload manager. SLURM magic simply wraps command-line executables and the commands themselves should look like their command-line counterparts. Commands are spawned via subprocess and output captured in the notebook. Whatever arguments are accepted by a SLURM command line executable are also accepted by the corresponding magic command---e.g., %salloc, %sbatch, etc.

The PMIx Reference RunTime Environment is a runtime environment containing the reference implementation and capable of operating within a host SMS. The reference RTE therefore provides an easy way of exploring PMIx capabilities and testing PMIx-based applications outside of a PMIx-enabled environment.

GNU Parallel is a tool for executing shell jobs in parallel using one or more computers. Jobs can consist of single commands or of scripts and they are executed on lists of files, hosts, users or other items.

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.

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.

This header-only C++ library provides a portable interface to single-instruction multiple-data (SIMD) intrinsics.

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.

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.

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.

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.

This package provides a C-style library for logging errors, warnings, information notes, and debug information. Its features are:

• printf-style interface for formatting variadic parameters.

• Separate functions for logging errors, warnings, information notes, and debug information.

• Independent logging settings for different modules.

• Logging to logcat on Android and stderr/stdout on other platforms.

• Compatible with C99 and C++.

• Covered with unit tests.

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.

PSNC DRMAA for Simple Linux Utility for Resource Management (SLURM) is an implementation of Open Grid Forum DRMAA 1.0 (Distributed Resource Management Application API) specification for submission and control of jobs to SLURM. Using DRMAA, grid applications builders, portal developers and ISVs can use the same high-level API to link their software with different cluster/resource management systems.

The cpuinfo library provides a C/C++ and a command-line interface to obtain information about the CPU being used: supported instruction set, processor name, cache information, and topology information.

schwimmbad provides a uniform interface to parallel processing pools and enables switching easily between local development (e.g., serial processing or with multiprocessing) and deployment on a cluster or supercomputer (via, e.g., MPI or JobLib).

PMIx is an application programming interface standard that provides libraries and programming models with portable and well-defined access to commonly needed services in distributed and parallel computing systems.

The xe utility constructs command lines from specified arguments, combining some of the best features of xargs(1) and apply(1). Parallel execution is also possible.

This package is a fork of Parallel Python. The Parallel Python module (pp) provides an easy and efficient way to create parallel-enabled applications for symmetric multiprocessing (SMP) computers and clusters. It features cross-platform portability and dynamic load balancing.

The pthreadpool library implements an efficient and portable thread pool, similar to those implemented by OpenMP run-time support libraries for constructs such as #pragma omp parallel for, with additional features.