Displaying 1 to 15 from 15 results

Multicore-TSNE - Parallel t-SNE implementation with Python and Torch wrappers.

  •    C++

This is a multicore modification of Barnes-Hut t-SNE by L. Van der Maaten with python and Torch CFFI-based wrappers. This code also works faster than sklearn.TSNE on 1 core. Barnes-Hut t-SNE is done in two steps.


  •    CSharp

Here you can find the resources required to start building with these new systems today. We have also provided a new forum where you can find more information and share your experiences with these new systems.

Transactional Entity Framework

  •    C++


Dambach Multi-Core Library


The Dambach Multi-Core Library makes it easy to create .Net programs that run faster on multi-core machines than their traditionally programmed counterparts.


  •    DotNet

Brahma is a library for C#, to provide high-level access to parallel streaming computations on a variety of processors. Brahma uses C#'s LINQ syntax to write kernels that are compiled dynamically. All the glue/kernel code required is *automatically* generated by by Brahma.



MultiCore is a compute cloud wrapper written in c# and supports a simple db role, membership and profile provider. Also offers support for easier Simple DB access. Includes the latest amazon libraries. Azure support coming soon.

ocaml-multicore - Multicore OCaml

  •    OCaml

OCaml is an implementation of the ML language, based on the Caml Light dialect extended with a complete class-based object system and a powerful module system in the style of Standard ML. OCaml comprises two compilers. One generates bytecode which is then interpreted by a C program. This compiler runs quickly, generates compact code with moderate memory requirements, and is portable to essentially any 32 or 64 bit Unix platform. Performance of generated programs is quite good for a bytecoded implementation. This compiler can be used either as a standalone, batch-oriented compiler that produces standalone programs, or as an interactive, toplevel-based system.

PASC - Parallel Array of Simple Cores. Multicore processor.

  •    Verilog

This is a multi-core embedded processor. There are a 16 RISC cores, each with a small chunk of local memory and a shared global memory area. Documentation is in the wiki (https://github.com/jbush001/PASC/wiki). Replace 'sourcefile' in the command line with the desired file.

trck - Query engine for TrailDB

  •    C

trck is a tool to query TrailDBs for aggregate metrics based on individual user behavior. trck is a domain specific language that defines a finite state machine1 to find patterns in data. These programs are compiled into highly optimized parallel native code.

embb - Embedded Multicore Building Blocks (EMB²): Library for parallel programming of embedded systems

  •    C++

The Embedded Multicore Building Blocks (EMB²) are an easy to use yet powerful and efficient C/C++ library for the development of parallel applications. EMB² has been specifically designed for embedded systems and the typical requirements that accompany them, such as real-time capability and constraints on memory consumption. As a major advantage, low-level operations are hidden in the library which relieves software developers from the burden of thread management and synchronization. This not only improves productivity of parallel software development, but also results in increased reliability and performance of the applications. EMB² is independent of the hardware architecture (x86, ARM, ...) and runs on various platforms, from small devices to large systems containing numerous processor cores. It builds on MTAPI, a standardized programming interface for leveraging task parallelism in embedded systems containing symmetric or asymmetric (heterogeneous) multicore processors. A core feature of MTAPI is low-overhead scheduling of fine-grained tasks among the available cores during runtime. Unlike existing libraries, EMB² supports task priorities and affinities, which allows the creation of soft real-time systems. Additionally, the scheduling strategy can be optimized for non-functional requirements such as minimal latency and fairness.

chymyst-core - Declarative concurrency in Scala - The implementation of the chemical machine

  •    Scala

This repository hosts Chymyst Core — a domain-specific language for purely functional, declarative concurrency, implemented as a Scala library. Chymyst is a framework-in-planning that will build upon Chymyst Core to enable creating concurrent applications declaratively. The code is extensively tested under Oracle JDK 8 with Scala 2.11.8, 2.11.11, and 2.12.2-2.12.6.

Saber - Window-Based Hybrid CPU/GPU Stream Processing Engine

  •    Java

Owner of artifact grants ACM permission to serve the artifact to users of the ACM Digital Library. Saber has been implemented in Java and C. The Java code is compiled and packaged using Apache Maven (3.3.1) and the Java SDK ( The C code is compiled and packaged using GNU make (3.81) and gcc (4.8.4).

parany - parallelize anything

  •    OCaml

Generalized map reduce for parallel computers (not distributed computing). Can process a very large file in parallel on a multicore computer; provided there is a way to cut your file into independent blocks (the "demux" function).

rpmsg-lite - RPMsg implementation for small MCUs

  •    C

This documentation describes the RPMsg-Lite component which is a lightweight implementation of the Remote Processor Messaging (RPMsg) protocol. The RPMsg protocol defines a standardized binary interface used to communicate between multiple cores in a heterogeneous multicore system. Compared to the RPMsg implementation of the Open Asymmetric Multi Processing (OpenAMP) framework (https://github.com/OpenAMP/open-amp), the RPMsg-Lite offers a code size reduction, API simplification and improved modularity. On smaller Cortex-M0+ based systems, it is recommended to use RPMsg-Lite.

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