The true computing geeks in the house are about to need adult diapers: AMD’s launching a dedicated stream processor, the FireStream 9170, and an accompanying SDK today, which will be available in Q108. Granted, this 55nm “world’s first Stream GPU with double-precision floating point technology” will run you two grand, but you’ll be getting 500 GFLOPS at under 150 watts power draw, but you’ll get all the insane math-crunching benefits of stream processing that your current number-crunching rig isn’t seeing, despite the eight 8800s you’ve got jury-rigged into the thing.
Read more about stream processing here
AMD FireStream 9170 Specifications
- Features
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- Powered by next-generation ATI GPU from AMD
- Parallel processing architecture with 320 stream cores
- Up to 500 GFLOPs single precision performance
- 2GB GDDR3 on-board memory
- Double Precision Floating Point
- PCIe 2.0 x16 interface
- < 150W power consumption
- Memory export
- BIOS settings optimized for stream processing
- API and OS Support
- Windows XP, XP64
- Linux 32 and Linux 64
- System Requirements
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- PCI Express® based server or workstation with available x16 lane graphics slot
- 500W or greater power supply
- 512MB of system memory
- Optimized for Computation
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- Double-precision floating point for scientific and engineering codes
- 2GB on-board memory
- 320 stream cores drive up to 500 GFLOPS single-precision performance
- Asynchronous DMA, allowing data transfers without interrupting streams processor or CPU
- Accelerating data-parallel algorithms in a variety of applications
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- Seismic processing
- Financial analysis
- Engineering analysis
- Rendering
- Computational chemistry
- Genetic research
- Physics
- Video editing
- Security
- AMD Warranty and Support
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- Enterprise-level support
- Three year limited product repair/replacement warranty
- Toll-free phone and email access to technical support team
AMD FireStream stream processors deliver the tremendous parallel processing power of the GPU to compute-intensive applications for scientists, engineers and consumers. Using this leading-edge technology, developers can dramatically increase the performance of their critical algorithms, allowing users to get faster results or work on larger problems.