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IPython

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  Analyzed about 11 hours ago

IPython: Productive Interactive Computing IPython provides a rich toolkit to help you make the most out of using Python interactively. Its main components are: - Powerful interactive Python shells (terminal-, Qt- and web-based). - Support for interactive data visualization and use of GUI ... [More] toolkits. - Flexible, embeddable interpreters to load into your own projects. - Tools for high level and interactive parallel computing. [Less]

27.3K lines of code

78 current contributors

5 days since last commit

447 users on Open Hub

High Activity
4.70408
   
0 Reviews
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Mostly written in Python
Licenses: BSD-3-Clause
Tags interactive library matplotlib notebook numpy parallelcomputing python scipy shell visualization

PETSc

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Claimed by Argonne National Laboratory Analyzed 4 months ago

PETSc, pronounced PET-see (the S is silent), is a suite of data structures and routines for the scalable (parallel) solution of scientific applications modeled by partial differential equations. It employs the MPI standard for parallelism.

656K lines of code

42 current contributors

6 months since last commit

19 users on Open Hub

Activity Not Available
5.0
 
0 Reviews
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Mostly written in C
Licenses: BSD-2-Clause
Tags hpc mathematics mpi odes parallel parallelcomputing pdes scientific_computing simulation solvers

GROMACS

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  Analyzed about 22 hours ago

GROMACS is a versatile package to perform molecular dynamics, i.e. simulate the Newtonian equations of motion for systems with hundreds to millions of particles. It is primarily designed for biochemical molecules like proteins, lipids and nucleic acids that have a lot of complicated bonded ... [More] interactions, but but thanks to its speed, many groups also use it for research on non-biological systems, e.g. polymers. Speed is one of the key features that makes GROMACS particularly attractive. Thanks to the strong emphasis on bottom-up performance tuning: hand-tuned CPU SIMD kernels are available for most CPU architectures, CUDA-and OpenCL-based GPU acceleration together with efficient multi-threading and neutral-territory domain-decomposition with MPI SPMD parallelization is supported. [Less]

1.66M lines of code

24 current contributors

5 days since last commit

18 users on Open Hub

High Activity
5.0
 
0 Reviews
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Mostly written in C
Licenses: LGPL-2.1
Tags avx avx2 bgq C++11 cuda gpu gromacs high_performance_computing hpc moleculardynamics molecular_dynamics molecularsimulation 8 more...

hazelcast

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  Analyzed about 11 hours ago

Hazelcast is a clustering and highly scalable data distribution platform for Java. Features: Distributed implementations of java.util.{Queue, Set, List, Map} Distributed implementation of java.util.concurrency.locks.Lock Distributed implementation of java.util.concurrent.ExecutorService ... [More] Distributed MultiMap for one-to-many relationships Distributed Topic for publish/subscribe messaging Transaction support and J2EE container integration via JCA Socket level encryption support for secure clusters Synchronous (write-through) and asynchronous (write-behind) persistence Second level cache provider for Hibernate Monitoring and management of the cluster via JMX Dynamic HTTP session clustering Support for cluster info and membership events Dynamic discovery Dynamic scaling Dynamic partitioning with backups Dynamic fail-over Hazelcast is for you if you want to share data/state among many servers (e.g. web session sharing) cache your data (distributed cache) for better performance cluster your application provide secure communication among servers partition your in-memory data send/receive messages among applications distribute workload onto many servers take advantage of parallel processing provide fail-safe data management Hazelcast is pure Java. JVMs that are running Hazelcast will dynamically cluster. Although by default Hazelcast will use multicast for discovery, it can also be configured to only use TCP/IP for enviroments where multicast is not available or preferred. Communication among cluster members is always TCP/IP with Java NIO beauty. Default configuration comes with 1 backup so if one node fails, no data will be lost. It is as simple as using java.util.{Queue, Set, List, Map}. Just add the hazelcast.jar into your classpath and start coding. A test application comes with the Hazelcast distribution that simulates the queue, set, map and lock APIs. You may want to watch the following 12 minute screencast to quickly get started. [Less]

761K lines of code

56 current contributors

about 12 hours since last commit

14 users on Open Hub

Very High Activity
5.0
 
0 Reviews
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Mostly written in Java
Licenses: Apache-2.0
Tags cache cloud cluster datagrid dht distributed distributed_computing distributedsystems ehcache elastic grid gridcomputing 8 more...

ScUtil

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  Analyzed about 6 hours ago

Hundreds of functions of a variety of topics, from statistics to string parsing, module utilities to network tools. Everyone's pet library accumulates features over time. My erlang library got big, fast. I often find myself giving functions from it out to other people, and a lot of my other ... [More] libraries are dependant on ScUtil in various ways, so I figured what the hell, let's give it away. This library is believed to be efficiently implemented at all points. Efficiency tips are, however, both appreciated and taken seriously. ScUtil uses the TestErl library for unit, regression and stochastic testing. ScUtil is free and MIT licensed, because the GPL is evil. ScUtil is written by John Haugeland, from http://fullof.bs/ . [Less]

9.11K lines of code

0 current contributors

over 1 year since last commit

11 users on Open Hub

Very Low Activity
4.8
   
0 Reviews
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Mostly written in Erlang
Licenses: MIT
Tags algorithms bayesian bayesianinference bayesianmodelling concurrency conversion correlation development dispatch distributed distributedcomputing distributed_computing 40 more...

MPICH

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Claimed by Argonne National Laboratory Analyzed about 2 months ago

MPICH is a high-performance and widely portable implementation of the Message Passing Interface (MPI) standard. The goals of MPICH are: (1) to provide an MPI implementation that efficiently supports different computation and communication platforms including commodity clusters (desktop systems ... [More] , shared-memory systems, multicore architectures), high-speed networks and proprietary high-end computing systems and (2) to enable cutting-edge research in MPI through an easy-to-extend modular framework for other derived implementations. [Less]

584K lines of code

25 current contributors

4 months since last commit

7 users on Open Hub

Activity Not Available
5.0
 
0 Reviews
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Mostly written in C
Licenses: BSD-3-Clause
Tags high_performance_computing hpc message_passing mpi mpi_2 mpi_3 mpich mpich2 mpich3 mpi_io parallel parallelcomputing 2 more...

LAMMPS

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  Analyzed about 1 hour ago

LAMMPS is a classical molecular dynamics simulator designed for parallel machines. It can model atomic, polymeric, biological, metallic, or granular systems using a variety of force fields and boundary conditions and can be easily modified and extend

2.39M lines of code

44 current contributors

about 5 hours since last commit

6 users on Open Hub

Very High Activity
0.0
 
0 Reviews
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Mostly written in C++
Licenses: No declared licenses
Tags c++ molecular_dynamics molecularsimulation mpi parallelcomputing scientific_computing

HPX

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  Analyzed about 11 hours ago

HPX is a general purpose parallel C++ runtime system for parallel and distributed applications of any scale. It is a very modular and well designed runtime system architecture. Real world applications are used to drive the development of HPX, coining out required functionalities and converging onto ... [More] an stable API which provides a smooth migration path for developers. The API exposed by HPX is modelled after the interfaces defined by the C++11/14 ISO standard and adheres to the programming guidelines used by the Boost collection of C++ libraries. [Less]

355K lines of code

48 current contributors

2 days since last commit

5 users on Open Hub

Very High Activity
5.0
 
0 Reviews
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Mostly written in C++
Licenses: Boost Sof...
Tags c++ cplusplus cross-platform distributed distributedcomputing distributed_computing library parallel parallelalgorithm parallelcalculaion parallelcomputing paralleldistributedprocessing 9 more...

Portable Computing Language

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  Analyzed about 1 year ago

Portable OpenCL is an open source implementation of the OpenCL standard which can be easily adapted for new targets. One of the goals of the project is improving performance portability of OpenCL programs, avoiding the need for target-dependent manual optimizations. A "native" target is included ... [More] , which allows running OpenCL kernels on the host (CPU). [Less]

84.8K lines of code

0 current contributors

about 4 years since last commit

5 users on Open Hub

Activity Not Available
4.0
   
0 Reviews
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Mostly written in C++
Licenses: MIT
Tags compiler library llvm opencl parallelcomputing parallelprogramming performance portable

ESPResSo++

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Claimed by Max Planck Institute for Po... Analyzed 1 day ago

ESPResSo++ is a highy versatile, parallelized, scientific simulation software for coarse-grained simulations of atomic and molecular systems. ESPResSo++ is the descendant of the ESPResSo simulation software. It is implemented in C++ and controlled via Python.

66.7K lines of code

15 current contributors

23 days since last commit

4 users on Open Hub

Moderate Activity
0.0
 
0 Reviews
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Mostly written in C++
Licenses: GPL-2.0+
Tags c++ moleculardynamics molecular_dynamics molecularsimulation mpi parallelcomputing python science scientificcomputing scientific_computing scientificsoftware