Jacket version 2.0 is now available, adding GPU computing capabilities for use with MATLAB®. Version 2.0 delivers even more speed through a host of new improvements, maximizing GPU device performance and utilization.

Notable new features include a multi-GPU interface and support for OpenCL devices. With Jacket v2.0, your M-code is now portable across all major GPU devices, including AMD/ATI, Intel, and NVIDIA chips.

Jacket is the premier GPU software plugin for MATLAB, better than alternative solutions (accelereyes.com/compare). It is relied upon by thousands of organizations for rapid prototyping and problem solving across a range of government, manufacturing, energy, media, biomedical, financial, and scientific research applications.

Multi-GPU Details:

• Control over all GPUs in your program through simple, fast GPU selection functions. Jacket automatically handles communication between the GPU devices, without the need to launch bulky parallel computing workers
• GINFO, GSELECT, GSYNC, are all extended to handle multiple devices

OpenCL Details:

• Support for single precision, floating point, real, and complex types
• Support for array math, FFTs, element-wise operations, and more
• Selection of any OpenCL compliant device listed in GINFO
• Currently available as a Free beta feature, download now - www.accelereyes.com/licenses_jacket/

Other Notable Improvements:

• New Base Jacket Functions, such as MEDIAN and PROD
• Additional Image Processing Library functions
• Additional Statistics Library functions
• Additional Signal Processing Library functions
• Support for binary to decimal conversion with BI2DE, DE2BI
• New Demos (included in every download)
• Defense Optical Flow Tracking example, Music Visualizer example, and new Jacket CPU vs. GPU demo
• Financial example of Black-Scholes with GCOMPILE is 35X faster than CPU
• GSELECT between devices any time, not just at startup

See the v2.0 release notes for the full list of enhancements, wiki.accelereyes.com/wiki/index.php/Release_Notes