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

Discover the latest enhancements in Jacket v1.8 and LibJacket v1.1 that will supercharge your GPU computing experience—unlock faster algorithms, improved visualizations, and expanded library support. Don't miss out on these game-changing updates!

John Melonakos
Jul 22, 2011
2 min read

Announcements
Introduction 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
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
  • jacket_logoNew 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
  • Stanford benchmarks show Jacket outperforms the Parallel Computing Toolbox.
  • Benchmarks showing how LibJacket outperforms MKL, IPP, and other CPU libraries.
 Quick links
  • Technical Whitepapers to learn how Jacket works
  • Documentation for Jacket and LibJacket
  • Online help for getting started and optimizing the performance of your code
* MATLAB® is a registered trademark of The MathWorks, as if you didn't know that already:)