Easily Build Applications for Multi-core

Resources

Recent talks


Multi-core: What have they done to us now?! (Joint HP, Intel and RapidMind web seminar)

A Unified Development Platform for Cell, GPU, and Multi-core CPUs (presented November 15 at SC’07 in Reno, NV)

Using the RapidMind platform to harness the Power of the Cell Broadband Engine™, by Michael McCool, RapidMind Chief Scientist, and Bruce D’Amora, IBM (Dr Dobb’s Portal web seminar held August 28th, 2007)

Multi-core CPUs, Accelerators, and the Many-core Future: A unified software approach with RapidMind (presented August 7th at SIGGRAPH 2007 in San Diego, CA)

Multi-core CPUs, Accelerators, and the Many-core Future: A unified software approach with RapidMind, by Michael McCool, RapidMind Chief Scientist (Dr Dobb’s Portal web seminar held July 31, 2007)

Writing High Performance Applications for GPUs and the Cell BE (presented July 23, 2007 at the Workshop on Solving Computational Challenges in Medical Imaging in Seattle, WA)

Programming for Multi-core Processors with RapidMind, by Stefanus Du Toit, RapidMind Chief Architect (Web seminar held June 28, 2007)

Technical papers


Data-Parallel Programming on the Cell BE and the GPU using the RapidMind
Development Platform
(presented Oct 31, 2006 at the GSPx Multicore Applications Conference in Santa Clara, CA)

White papers


The RapidMind Multi-core Development Platform

The RapidMind Multi-core Development Platform: Financial Analysis

The RapidMind Multi-core Development Platform: Desktop Imaging

The RapidMind Multi-core Development Platform: Medical Imaging and Analysis

RapidMind: C++ Meets Multicore - Making the most of multiple cores (originally appears in the July 2007 edition of Dr. Dobb’s Journal)

Benchmarks


CPU Performance Demonstration - Black-Scholes option pricing on the Intel® Quad-core

GPU Performance Evaluation with HP - FFT, Matrix Multiply and Black-Scholes option pricing on Intel and AMD® GPUs

Cell porting and tuning - QJulia on the Cell Broadband Engine™

Case studies


Image Processing on the multi-core CPU

RTT Real-time Ray tracing on the Cell BE

Crowd Simulation on the Cell BE

Medical Imaging on the GPU

Flame Fractal Generation on the GPU

Fluid Simulation

Product literature


Product Data Sheet

RapidMind for Finance (PDF)

RapidMind for Digital Media (PDF)

RapidMind Scientific Library (PDF)

Sample movies


Crowd simulation (20.6 MB)

Flame fractal generation (15.1 MB)

Fluids simulation (10.1 MB)

Fluids simulation, CPU and GPU performance comparison (10.1 MB)

RTT Ray Trace (18.2 MB)

Analyst reports


Clabby Analystics report on RapidMind

Jon Peddie’s August Tech Watch Report on RapidMind