GPU Acceleration on MATLAB® with Jacket™

Since 2007, NVIDIA and AccelerEyes have collaborated to deliver the power of GPU computing to MATLAB users with Jacket. Jacket programming has become a popular method for accelerating MATLAB code on the GPU due to its ease-of-use, broad function library, and great GPU performance.

Jacket includes many key features to deliver results on full applications: > Over 500 functions, including math, signal processing, image processing, and statistics > Specialized FOR loops to run many iterations simultaneously with GFOR > An optimized runtime to optimize memory bandwidth and kernel configurations > Integrate users' own CUDA kernels into MATLAB via the Jacket SDK > Compute across multiple NVIDIA GPUs via Jacket MGL and HPC

Brief Jacket Tutorial Video in MATLAB	GPU Computing Intro with Jacket

With Jacket programming, the MATLAB community can enjoy GPU-acceleration with an easy, high-level interface. After achieving success with the fast MATLAB prototypes, Jacket programmers can also use ArrayFire to achieve high-level acceleration directly in C, C++, Fortran, or Python.

Potential Field Extrapolation on Magnetogram

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RECOMMENDED PROFESSIONAL PRODUCTS

The powerful GPU computing capabilities in Jacket were developed on Tesla and Quadro GPU computing products and require the use of recent CUDA-capable NVIDIA GPUs, such as NVIDIA Tesla 10-series or 20-series products.

Tesla and Quadro GPU computing products are designed to deliver the highest computational performance with the most reliable numerical accuracy, and are available and supported by the world's leading professional system manufacturers.

Tesla Benefits

Highest Computational Performance
> High-speed double precision operations
> Large dedicated memory
> High-speed bi-directional PCIe communication
> NVIDIA GPUDirect™ with InfiniBand

Most Reliable
> ECC memory
> Rigorous stress testing

Best Supported
> Professional support network
> OEM system integration
> Long-term product lifecycle
> 3 year warranty
> Cluster and system management tools
(server products)
> Windows remote desktop support

RECOMMENDED TESLA AND QUADRO CONFIGURATIONS

High-End Workstation
> Two Tesla C2075 GPUs
> Quadro 2000
> Two quad-core CPUs
> 24 GB system memory

Mid-Range Workstation
> Tesla C2075 GPU
> Quadro 600
> Quad-core CPU
> 12 GB system memory

Entry Workstation
> Tesla C2075 GPU
> Quadro 600
> Single quad-core CPU
> 6 GB system memory

NVIDIA Tesla and Quadro products are available from all major professional workstation OEMs. Only Tesla GPU computing products are designed and qualified for compute cluster deployment.

Buy Optimized Tesla Systems

We partner with our system vendors to provide optimal solutions that accelerate your workload. Buy now and enjoy all the benefits of GPU-acceleration on MATLAB.

Recommended Workstation Platforms

		HP Z800 For MATLAB customers seeking both maximum performance and sleek design, the HP Z800 supports two Tesla C2050 computing processors to bring supercomputing performance to their desk.

		Dell Precision T7500 Designed for system scalability and performance, the Dell Precision T7500 comes equipped with a single Tesla C2050 computing processor to meet your MATLAB computation needs.

Recommended Cluster Platforms

		Dell PowerEdge C410x PCIe Expansion Chassis Packed with the most computational power in a 3U form factor with 16 Tesla M2050 computing processors, the Dell PowerEdge C410x is a perfect platform to expand existing clusters for MATLAB users.

Other Featured Partners and Resellers

For a complete list of Tesla Preferred Providers, click here.

MATLAB is a registered trademark of The MathWorks, Inc.

Jacket is a trademark of AccelerEyes