Here's a thread Roger Fry and I had off-line due to his finding the GPU announce earlier. If you have not heard of Thinking Machines, this may help: http://en.wikipedia.org/wiki/Thinking_Machines_Corporation
> Begin forwarded message: > >> From: Roger Frye <rf...@qforma.com> >> Date: November 15, 2010 9:28:44 AM MST >> To: Owen Densmore <o...@backspaces.net> >> Subject: Re: [Thunko] Fwd: Announcing Cluster GPU Instances for Amazon EC2 >> >> Danny Hillis just wrote to say that he would be a customer. >> Yes, I think GPUs can emulate a good deal of the CM-1 and CM-2. >> I was very disappointed when we abandoned SIMD architecture with the CM-5. >> -Roger >> >> On Nov 15, 2010, at 9:07 AM, Owen Densmore wrote: >> >>> Weird, I forwarded the amazon announcement to Friam before seeing this, way >>> cool. >>> >>> Love the name Thunko and delighted to see Thinking Machine folks are >>> staying in touch. >>> >>> Would it be possible in any way to approach the Thinking Machine >>> architecture with Amazon? >>> >>> -- Owen >>> >>> >>> On Nov 15, 2010, at 7:47 AM, Roger Frye wrote: >>> >>>> Owen, >>>> I thought you might be interested in an email I got on the Thinking >>>> Machines Alumni mailing list. >>>> -Roger >>>> >>>> Begin forwarded message: >>>> >>>>> From: John J. Smith <j...@smithsix.com> >>>>> Date: November 15, 2010 6:44:02 AM MST >>>>> To: Thunko <thu...@4004.com> >>>>> Subject: [Thunko] Fwd: Announcing Cluster GPU Instances for Amazon EC2 >>>>> >>>>> Dear Thunkites, >>>>> >>>>> Have you seen this?? Who wants to form a Connection Machine On Demand" >>>>> company, and help some enterprises do some cool work with this? >>>>> >>>>> "Each GPU instance features two NVIDIA Tesla® M2050 GPUs, delivering peak >>>>> performance of more than one trillion double-precision FLOPS." >>>>> >>>>> drop me a line! Let's get started! >>>>> >>>>> John J. Smith >>>>> 617-823-6400 >>>>> >>>>> >>>>> >>>>> Begin forwarded message: >>>>> >>>>>> From: Amazon Web Services <store-n...@amazon.com> >>>>>> Date: November 15, 2010 3:49:12 AM EST >>>>>> To: "j...@geekoffices.com" <j...@geekoffices.com> >>>>>> 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 >>>>>> aws.amazon.com/ec2/hpc-applications. >>>>>> >>>>>> Learn more about the new Cluster GPU instances for Amazon EC2 and their >>>>>> use in running HPC applications. >>>>>> >>>>>> Sincerely, >>>>>> >>>>>> The Amazon EC2 Team >>>> ============================================================ FRIAM Applied Complexity Group listserv Meets Fridays 9a-11:30 at cafe at St. John's College lectures, archives, unsubscribe, maps at http://www.friam.org
