Rayon is a data-parallelism library for Rust. It is extremely lightweight and makes it easy to convert a sequential computation into a parallel one. It also guarantees data-race freedom. Rayon makes it drop-dead simple to convert sequential iterators into parallel ones: usually, you just change your foo.iter() call into foo.par_iter(), and Rayon does the rest.
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Parallel iterators take care of deciding how to divide your data into tasks; it will dynamically adapt for maximum performance. If you need more flexibility than that, Rayon also offers the join and scope functions, which let you create parallel tasks on your own. For even more control, you can create custom threadpools rather than using Rayon's default, global threadpool.

Rayon is a data-parallelism library for Rust. It is extremely lightweight and makes it easy to convert a sequential computation into a parallel one. It also guarantees data-race freedom. Rayon makes it drop-dead simple to convert sequential iterators into parallel ones: usually, you just change your foo.iter() call into foo.par_iter(), and Rayon does the rest.

Rayon - A data parallelism library for Rust

Akka is the platform for the next generation event-driven, scalable and fault-tolerant architectures on the JVM. It helps to write simpler correct concurrent applications using Actors, STM & Transactors. It could scale out on multi-core or multiple nodes using asynchronous message passing. For fault-tolerance it adopts the Let it crash or Embrace failure model to build applications that self-heals, systems that never stop.

Akka - Build Concurrent and Scalable Applications

Gpars is a framework which provides straightforward Java or Groovy-based APIs to declare, which parts of the code should be performed in parallel. Collections can have their elements processed concurrently, closures can be turned into composable asynchronous functions and run in the background on your behalf, mutable data can be protected by agents or software transactional memory.<BR><BR>GPars helps to create several independent Actors, which consume messages passed to them and communicate with other actors by sending them messages.


Gpars is a framework which provides straightforward Java or Groovy-based APIs to declare, which parts of the code should be performed in parallel. Collections can have their elements processed concurrently, closures can be turned into composable asynchronous functions and run in the background on your behalf, mutable data can be protected by agents or software transactional memory.

Gpars - Groovy parallel systems

S4 is a general-purpose, distributed, scalable, partially fault-tolerant, pluggable platform that allows programmers to easily develop applications for processing continuous unbounded streams of data. S4 has been deployed in production systems at Yahoo to process thousands of search queries per second.

s4 - Distributed Stream Computing Platform

The mission of ThunderSVM is to help users easily and efficiently apply SVMs to solve problems. ThunderSVM exploits GPUs and multi-core CPUs to achieve high efficiency. It supports all functionalities of LibSVM such as one-class SVMs, SVC, SVR and probabilistic SVMs. It can use same command line options as LibSVM. It supports Python, R and Matlab interfaces.

ThunderSVM - A Fast SVM Library on GPUs and CPUs

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Rayon - A data parallelism library for Rust

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Rayon - A data parallelism library for Rust

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ThunderSVM - A Fast SVM Library on GPUs and CPUs

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