RapidMind takes multi-threaded magic to x86 realm
hip profitable to be square
Start-up RapidMind has gone mainstream by supporting x86 chips from Intel and AMD with the latest release of its flagship product that makes it easier to get more performance out of multi-core CPUs.
Come Dec., RapidMind will release Version 3.0 of the RapidMind Multi-core Development Platform - or RMMcDP for those keeping score at home. Past versions of the software were aimed at IBM's Cell chip and GPUs from Nvidia and ATI/AMD. Now, developers can fancy up their code for the x86 chips found in most servers as well.
RapidMind's software allows developers to keep coding away as they always have - rather than learning more complex multi-threaded software techniques or delving into the intricacies of various chip architectures.
As the always eloquent Rick Merritt puts it:
Application developers can use existing tools to profile their programs and identify performance bottlenecks in their code. Those modules can then be linked to the RapidMind run-time tool through a C++ application programming interface and library calls.
The RapidMind software automatically generates parallel code for array processing and other math functions. The run-time software checks as many as eight areas for possible parallelism. The company said it has tested its new X86 version on as many as eight cores using two quad-core chips, with results as much as tenfold better than native code.
HP has taken notice of RapidMind's x86 skills and invited the start-up into its new acceleration nation.
Clearly, high performance computing customers will be most interested in RapidMind's software, although the x86 play could help it branch out into business applications.
RapidMind used to have a direct competitor known as PeakStream, but Google ate that baby, leaving the server market in the lurch. Google's open source chief Chris DiBona has said the company would consider releasing PeakStream's old code under an open source license if only it could get around restrictions on Intel's math libraries.
Huge questions remain around how the market will accept products from RapidMind and others. Without question, we're heading toward a software crisis where not enough multi-threaded code will exist to take proper advantage of multi-core chips. RapidMind, however, seems like more of a stopgap than an industry-wide answer. But, you know, stopgaps are valuable too. ®
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