Everything I do is GPU based. It's all graphics. Today I turn in the final manuscript for a major revision of my graphics textbook (used in over 200 colleges and universities) that switches everything to using the GPUs instead of CPUs. Cells phones are now using GPU code and WebGL, which is now beginning to be supported in the latest browsers, is all shader based so your browser will use the GPU.
If you are interested in GPUs for more general processing, you can find a lot of information NVidia on CUDA. Ed __________ Ed Angel Chair, Board of Directors, Santa Fe Complex Founding Director, Art, Research, Technology and Science Laboratory (ARTS Lab) Professor Emeritus of Computer Science, University of New Mexico 1017 Sierra Pinon Santa Fe, NM 87501 505-984-0136 (home) an...@cs.unm.edu 505-453-4944 (cell) http://www.cs.unm.edu/~angel http://artslab.unm.edu http://sfcomplex.org On Nov 15, 2010, at 8:59 AM, Owen Densmore wrote: > I gotta say, amazon has surprised me in their monotonically increasingly > impressive set of services. Now GPU instances. > > I scoffed at their being just a "box in the sky" approach, but with their > slowly improving console for managing all the parts they offer, I could > easily see them becoming the IT dept of many companies. > > Does anyone on the list use them? If so, how? > > -- Owen > > > Begin forwarded message: > >> From: Amazon Web Services <store-n...@amazon.com> >> Date: November 15, 2010 1:49:42 AM MST >> To: "o...@backspaces.net" <o...@backspaces.net> >> Subject: Announcing Cluster GPU Instances for Amazon EC2 >> >> Dear Amazon EC2 Customer, >> >> We are excited to announce the immediate availability of Cluster GPU >> Instances for Amazon EC2, a new instance type designed to deliver the power >> of GPU processing in the cloud. GPUs are increasingly being used to >> accelerate the performance of many general purpose computing problems. >> However, for many organizations, GPU processing has been out of reach due to >> the unique infrastructural challenges and high cost of the technology. >> Amazon Cluster GPU Instances remove this barrier by providing developers and >> businesses immediate access to the highly tuned compute performance of GPUs >> with no upfront investment or long-term commitment. >> >> Amazon Cluster GPU Instances provide 22 GB of memory, 33.5 EC2 Compute >> Units, and utilize the Amazon EC2 Cluster network, which provides high >> throughput and low latency for High Performance Computing (HPC) and data >> intensive applications. Each GPU instance features two NVIDIA Tesla® M2050 >> GPUs, delivering peak performance of more than one trillion double-precision >> FLOPS. Many workloads can be greatly accelerated by taking advantage of the >> parallel processing power of hundreds of cores in the new GPU instances. >> Many industries including oil and gas exploration, graphics rendering and >> engineering design are using GPU processors to improve the performance of >> their critical applications. >> >> Amazon Cluster GPU Instances extend the options for running HPC workloads in >> the AWS cloud. Cluster Compute Instances, launched earlier this year, >> provide the ability to create clusters of instances connected by a low >> latency, high throughput network. Cluster GPU Instances give customers with >> HPC workloads an additional option to further customize their high >> performance clusters in the cloud. For those customers who have >> applications that can benefit from the parallel computing power of GPUs, >> Amazon Cluster GPU Instances can often lead to even further efficiency gains >> over what can be achieved with traditional processors. By leveraging both >> instance types, HPC customers can tailor their compute cluster to best meet >> the performance needs of their workloads. For more information on HPC >> capabilities provided by Amazon EC2, visit >> http://aws.amazon.com/ec2/hpc-applications. >> >> Learn more about the new Cluster GPU instances for Amazon EC2 at >> http://aws.amazon.com/ec2/ and their use in running HPC applications at >> http://aws.amazon.com/ec2/hpc-applications/. >> >> Sincerely, >> >> The Amazon EC2 Team > > -- > You received this message because you are subscribed to the Santa Fe Complex > "discuss" group. > To post to this group, send email to disc...@sfcomplex.org > To unsubscribe from this group, send email to > discuss+unsubscr...@sfcomplex.org > For more options, visit this group at > http://groups.google.com/a/sfcomplex.org/group/discuss
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