(Disclaimer: Sorry gamers. These GPUs are not for 3D gaming, but for number crunching scientific calculations!)
CIS submitted a proposal to NVIDIA’s Academic Partnership Program on the last day of May. NVIDIA quickly approved the proposal on June 11 and decided to donate us two Tesla C2075 GPUs (MSRP $2,500 per piece). Although it took a month to process the shipment at NVIDIA’s distribution center due to their high demand, it was worth the wait!
As of this writing, Tesla C2075 is the top-notch GPU available on the market for GPU computing. It has 448 CUDA cores and 6GB GDDR5 memory, which allows to pull 515 Gflops in double precision calculations and 1030 Gflops in single precision. Yup, it’s a little monster and we’ve got two of them!
CIS (Andy Davenport and Jeho Park) has been collaboratively working with Prof. Vatche Sahakian at Physics on a pilot project to prepare a new high performance GPU system on our campus. Prof. Sahakian generously offered to purchase a high-end GPU host computer. CIS is providing the NVIDIA GPUs and technical support to build a new system. Once the setup is complete, the new system will be tested and later shared with faculty and student researchers at Harvey Mudd for high-performance GPU computing experiences and tests. If you are interested in GPU computing or wish to involve in the GPU computing pilot, please contact Jeho Park at CIS for more information (or leave your comment to this post).
- http://en.wikipedia.org/wiki/GPGPU (Wikipedia: General-purpose computing on graphics processing units)
- http://www.nvidia.com/object/workstation-solutions-tesla.html (NVIDIA Tesla GPU Information)
- http://www.nvidia.com/content/research/academic-partnership-program.html (NVIDIA Academic Partnership Program)
- http://www.nvidia.com/object/cuda_home_new.html (NVIDIA CUDA Information)