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
  • 1.27 TF DP Performance
  • SLI Ready
  • 288 GB/sec Bandwidth
  • TXAA & FXAA
  • 6GB GDDR5 Memory
  • 2688 CUDA Cores
  • PhysX & 3D Vision

Mathematica Features

  • Numerical Computing
  • Deployment & Connectivity
  • Graphics & Visualization
  • Data Analysis
  • HPC
  • Scalability
  • Core Algorithms
  • Statistics

Target Applications

  • Random Number Generation
  • Discrete Fourier Transform
  • Volumetric Rendering
  • Financial Engineering
  • Linear Algebra
  • List Processing
  • Code Generation
  • PDE Solving

Advantages

  • Automatic Interface Builders
  • Visualization Feature
  • Scalability to multiple devices
  • Curated Data Sets
  • Import/Export Capabilities
  • Discover CUDA Devices
  • Load CUDA Programs
  • 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