LibJacket – the best way to kick start your CUDA development. Take a tour!
Both products enable:
Manipulating vectors, matrices, and ND arrays
Support for single- and double-precision, boolean, real, and complex numbers
Hundreds of routines for arithmetic, linear algebra, statistics, imaging, signal processing, and more (full list: Jacket, LibJacket)
Thousands of lines of optimized code for any CUDA-capable GPU
New Product Features
Expanded support for the Signal Processing, Image Processing, and Statistics Libraries included with both Jacket and LibJacket
Faster linear algebra for special systems (e.g. symmetric, positive definite, triangular, etc.)
Enhanced visualizations
New and updated examples: FDTD, Mandelbrot fractals, maximum-likelihood neural segmentation, MDS for genomics
Built with CUDA 4.0 for peak performance
Examples & Benchmarks
Recent case studies: video feature learning (Stanford), digital holography (REAL3d), hybrid LU decomposition (SAIC), GPU Computing seminar (U Aalborg), and more