A compiler-based big data framework in Python
NumPy aware dynamic Python compiler using LLVM
The ParallelAccelerator package, part of the High Performance Scripting project at Intel Labs
The CompilerTools package, part of the High Performance Scripting project at Intel Labs
Recurrent Neural Network Language Modeling (RNNLM) Toolkit
Parallelizing word2vec in shared and distributed memory
The Julia Language: A fresh approach to technical computing.
Caffe for Sparse Convolutional Neural Network
High Performance Analytics Toolkit (HPAT) is a Julia-based framework for big data analytics on clusters.
Pillar compiler, Pillar runtime, garbage collector.
Haskell Research Compiler
Benchmarks for use with IntelLabs/flrc.
Computation using data flow graphs for scalable machine learning
sparse matrix pre-processing library
Segment-of-interest low-communication FFT algorithm
Julia package for accelerating sparse matrix applications.
A high-performance DSL for deep neural networks in Julia
a physics-based game that uses River Trail for collision detection
An interactive shell in your browser for writing and running River Trail programs
Intel Heterogeneous Research Compiler (iHRC)
A x86 Virtual Machine Monitor including device modules and instruction emulator. Standalone version of the Vancouver VMM.
Genode OS Framework