Parallel Computing
Showing 16 of 160 projects
SIMD-enhanced array operations for F# that leverage CPU vector instructions for significant performance improvements.
An R package for creating, storing, and manipulating massive matrices using shared memory and memory-mapped files.
A Rust library for writing evolutionary algorithms to solve optimization problems like TSP, Sudoku, and OCR.
A concurrent programming library for Lua that enables parallel execution of Lua processes using message passing and POSIX threads.
A Go library providing efficient read-write mutexes with trylock, timeout, and no-starvation mechanisms.
A unified R API for writing parallel and distributed applications across different backends like parallel, HP Distributed R, and SparkR.
A parallel Random Forest implementation in Go for classification and regression tasks.
A Common Lisp implementation of transactional Hewitt Actors for building highly concurrent, thread-agnostic, and secure distributed systems.
A Julia package for efficient large-scale Gaussian Mixture Models with support for diagonal/full covariance, parallel training, and variational Bayes.
A Python library for learning Bayesian network structure from observational and interventional data with support for missing values and parallel execution.
A fast interpreter and JIT compiler for the R programming language, designed as a drop-in replacement.
A CMake find module for locating and linking Intel Threading Building Blocks (TBB) libraries in C++ projects.
A type-safe, purely functional effect system for building asynchronous and concurrent applications in F#.
A massively parallel quantum chemistry platform for ab initio electronic structure simulations of molecules and solids.
A Java library of customizable, hybridizable, iterative, parallel, stochastic, and self-adaptive local search algorithms.
An Elixir module for executing multiple slow functions or processes in parallel.
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