A Cluster Computing System for Processing Large-Scale Spatial Data

Build userspace NVMe drivers and storage applications with CUDA support

A High-performance Cluster Computing Engine

Distributed Network Vulnerability Scanner

High-level C++ for Accelerator Clusters

MPL - A C++11 message passing library based on MPI

Scientific computing library for optical sciences

Concurrent, Asynchronous, Distributed, Communicating Tasks with Python

Cluster computing using Stateful Dataflow Graphs

algorithm for study: multi-layer-perceptron, cluster-graph, cnn, rnn, restricted boltzmann machine, bayesian network

Secure ZooKeeper using Intel SGX

Kubernetes adapter for Universal Resource Broker

Distributed segmentation for bio-image-analysis

Web based cluster computing apps

WAVES is a reusable web application dedicated to bioinformatic tool integration

Workflow management system for the automated and distributed analysis of large-scale experimental data.

C++ library and command-line software for processing and analysis of terabyte-scale volume images locally or on a computing cluster.

The base Universal Resource Broker project.

How to Do-It-Yourself A Cluster for Spark & Hadoop

HPC cluster wiki docs

A na(t)ive proof-of-concept implementation of Apache Spark in C++.

💠 Run tasks in cluster mode easily, for CPU-intensive programs.

A simple multi-core task scheduler that works well with promises. Great for doing parallel data processing.

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.

blat with cluster parallel hybrid computing support

Materials for the BRITE-REU programming workshops

MapReduce, Spark, Hadoop, PostgreSQL, Cluster Management

Distributed architecture for embedded systems

Tools and Instruction Sets for GPU cluster setup.

Otto-von-Guericke Universität Magdeburg - Big Data SoSe 2017