Projects / Jacket by AccelerEyes

Jacket by AccelerEyes

The Jacket platform consists of a runtime and language processing system that automatically optimizes existing applications or new algorithms for GPU computing. Jacket currently supports the MATLAB language as a frontend to the platform. Jacket's language processing system automatically translates MATLAB code to high performance primitives required for best utilization of Nvidia, CUDA capable GPUs. Working in concert with the translation system, Jacket's runtime system optimizes memory transfers, compiles code on-the-fly for realtime tuned performance, and launches GPU kernels efficiently for maximal performance. All GPU-specific programming details are handled by Jacket, freeing the user to focus on science, engineering, and analytics.

Operating Systems

Recent releases

  •  15 Jul 2010 03:53

    Release Notes: Full support for NVIDIA Fermi GPUs (Tesla C20 series and GeForce GTX 4XX series), new compiler technology, enhanced matrix multiplication performance, new libraries for image processing, and more.

    •  15 Apr 2010 03:57

      Release Notes: This version incorporates a host of new features, most notably the combination of CULA tools with the Jacket platform for double precision linear algebra (LAPACK) with a performance increase of 8-10 times. Pricing is 50% less than previous releases.


      Project Spotlight


      A Fluent OpenStack client API for Java.


      Project Spotlight

      TurnKey TWiki Appliance

      A TWiki appliance that is easy to use and lightweight.