AccelerEyes today announced that its Jacket software platform for MATLAB, including its new 1.4 release, will support the latest NVIDIA graphics processing units (GPU) based on the Fermi architecture (Tesla 20-series and GeForce GTX 4xx-series). NVIDIA's release of the Fermi architecture brings with it 448 computational cores, increased IEEE-754 floating-point arithmetic precision, error-correcting memory for reliable computation, and enhanced memory caching mechanisms.
AccelerEyes develops Jacket, a software platform that delivers GPU computing power to desktop users of MATLAB and other very high level languages. It enables faster prototyping and problem solving across a range of government, manufacturing, energy, media, biomedical, financial, and scientific research applications. The Jacket software platform enables accelerated double-precision performance for common arithmetic and linear algebra functionality on the new NVIDIA hardware based on the FERMI architecture.
"With this release of Jacket and with the familiar MATLAB environment, domain experts can create highly optimized heterogeneous applications for the latest CPUs from Intel and AMD while also leveraging the latest generation of GPUs from NVIDIA," said John Melonakos, CEO of AccelerEyes. "Efficiently using all available host cores for certain parts of an application while accelerating other portions on GPUs is the key to squeezing maximum performance out of today's GPU-enabled workstations, servers, clusters, and cloud services. With Fermi's improvement in double-precision performance, we expect a big increase in the number and type of applications that benefit from GPU acceleration."