New Product Updates – Jacket v1.8, LibJacket v1.1

• Jacket v1.8 for MATLAB® now available
• LibJacket v1.1 for C/C++/Python/Fortran now available
• Request a FREE GPU computing consultation

Enhance your code with the fastest, most comprehensive library for GPU computing:

• Jacket – the best GPU computing in MATLAB®.  Take a tour and compare!
• 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

• 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

• Recent case studies: video feature learning (Stanford), digital holography (REAL3d), hybrid LU decomposition (SAIC), GPU Computing seminar (U Aalborg), and more
• Stanford benchmarks show Jacket outperforms the Parallel Computing Toolbox.
• Benchmarks showing how LibJacket outperforms MKL, IPP, and other CPU libraries.

• Technical Whitepapers to learn how Jacket works
• Documentation for Jacket and LibJacket
• Online help for getting started and optimizing the performance of your code