Solvers for NP-hard and NP-complete problems with an emphasis on high-performance GPU computing.

A high-performance general-purpose MRF MAP solver, heavily exploiting SIMD instructions.

Simulation Package for Ab-initio Real-space Calculations

HERCULES: An open-source, massively parallel direct numerical simulation solver

Normal Modes at Planetary Scales

A massively parallel library for computing the functions of sparse matrices.

Imagine thousands of machines across multiple cloud instances and data centers executing simultaneous processing for you with minimal deployment effort. Enter Atomizer - a Go library that facilitates massively parallel and distributed computing. Fashioned after Go itself using similar CSP paradigms.

This is a LSQR-CUDA implementation written by Lawrence Ayers under the supervision of Stefan Guthe of the GRIS institute at the Technische Universität Darmstadt. The LSQR library was authored Chris Paige and Michael Saunders.

Discontinuous Galerkin Fast Spectral (DGFS) in one dimension

Massive crowd-dynamics steering/flocking emergency egress simulation developed under a DHS grant in 2006

Massively Parallel Gravitational Potential Calculator and Voxelizer Python Interface

Ultra fast simulated annealing with OpenCL & multiple accelerators, GPUs, CPUs.

Massive Request tester for Node.js

Newtonian particle dynamics -- parallel computation

A C++ / Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.

Procedural Environment Generation for Accelerated Multi-Agent Reinforcement Learning

Mass push values to keyword based entities on Wit.ai

Implements the algorithm specified in Parnas, D. "On the criteria to be used in decomposing systems into modules."- 1972 using Apache Spark

Enterprise use cases for zio-tls-http. Connection pooling, fast mem-cache server with ZIO Layers and ZIO magic. LDAP Unbound SDK bindings to ZIO. Https client with TLS encryption performed as ZIO effects.

A sandbox project to learn the concepts of working with massively parallel processors using OpenCL.