Wanting to accelerate the GPU Performance !!!
Here is the right tool
Wolfram Mathematica - NVIDIA GTX Titan GPU
We are happy to introduce the Wolfram Mathematica and NVIDIA GTX Titan bundle offer to Academicians, Researchers and Engineers to develop CUDA applications.
NVIDIA Corporation manufactures graphics processing units (GPUs), as well as having a significant stake in manufacture of system-on-chip units (SOCs) for the mobile computing market. In addition to GPU manufacturing, NVIDIA provides parallel processing capabilities to researchers and scientists that allow them to efficiently run high-performance applications.
Wolfram Research Inc. developers of Mathematica which is a computational software program used in many scientific, engineering, mathematical and computing fields, based on symbolic mathematics. Mathematica harnesses GPU devices for general computations using CUDA, delivering dramatic performance gains. Mathematica offers the most comprehensive and easy to use high-level interface to GPU programming and computation on the market today
GT Enterprises (GTE) has been established during 1995 and has been instrumental in introducing today's world class products to Indian market to name a few VMware, VEEAM, Citrix, Red Hat, SuSe, Qt, Mathematica, Portland Group Compliers, ScaleMP, and many more. We have partnered with NVIDIA to promote CUDA card, Mathematica & GTX Titan bundle sales, training and CUDA Lab.
GTX Titan Card
GTX Titan card allows gamers to push PC performance to the maximum with precise controls. GPU Boost 2.0 intelligently monitors work with even more advanced controls like GPU temperature target, overclocking, and overvoltage to ensure the GPU works at the ultimate performance. This card is designed to deliver the highest computational performance with most reliable numerical accuracy, and is supported by the world's leading professional system manufacturers.
| GTX Titan Card Features | |
| • 4.5TF SP Performance | • TXAA & FXAA |
| • 1.27 TF DP Performance | • 6GB GDDR5 Memory |
| • SLI Ready | • 2688 CUDA Cores |
| • 288 GB/sec Bandwidth | • PhysX & 3D Vision |
| Target Applications | |
| • Random Number Generation | • Linear Algebra |
| • Discrete Fourier Transform | • List Processing |
| • Volumetric Rendering | • Code Generation |
| • Financial Engineering | • PDE Solving |
| Mathematica Features | |
| • Numerical Computing | • HPC |
| • Deployment & Connectivity | • Scalability |
| • Graphics & Visualization | • Core Algorithms |
| • Data Analysis | • Statistics |
| Advantages | |
| • Automatic Interface Builders | • Import/Export Capabilities |
| • Visualization Feature | • Discover CUDA Devices |
| • Scalability to multiple devices | • Load CUDA Programs |
| • Curated Data Sets | • Automatic GPU Memory |
System Requirements
OS : Windows/Linux/Mac OS X/both 32 bit & 64 bit, NVIDIA GTX Titan Card & Mathematica 8.0 or later
For all your Product/Training/Services, Please Contact : hpc@gte-india.com / training@gte-india.com