Join us in 2011 on April 13 at 6pm, April 15 at noon, or April 27 at 4pm for our "S72: GPU Computation Using Mathematica and OpenCL" webinar. All times are U.S. Eastern Daylight Time (EDT).
This seminar provides an introductory overview of the new GPU functionality in Mathematica 8 using OpenCL.
Overview of GPU, CUDA, and OpenCL
Reasons for using the GPU, overviews of CUDA and OpenCL, and use cases for the features
Programming the GPU Using Mathematica
Basic examples on how to program the GPU using OpenCLFunctionLoad
Case Study: Financial Computation Using OpenCL
Code generation for financial computation using both SymbolicC and Mathematica's symbolic calculus facilities
GPU Programming Workflow within Mathematica
Covering tips on how to maximize portability of code across OpenCL hardware, offer the highest precision, and use multiple GPUs on the same machine or across the grid
Ulises Cervantes-Pimentel, Senior Kernel Developer, Wolfram Research
Abdul Dakkak, Kernel Developer, Wolfram Research