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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 <[hidden email]> > Date: November 15, 2010 1:49:42 AM MST > To: "[hidden email]" <[hidden email]> > 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 ============================================================ 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 |
Owen,
Do you remember the Googlezon "infomercial" of 5 years back. I still have it on my computer somewhere. Nick -----Original Message----- From: Owen Densmore [mailto:[hidden email]] Sent: Monday, November 15, 2010 9:00 AM To: The Friday Morning Applied Complexity Coffee Group; SFx Discuss Subject: [sfx: Discuss] Fwd: Announcing Cluster GPU Instances for Amazon EC2 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 <[hidden email]> > Date: November 15, 2010 1:49:42 AM MST > To: "[hidden email]" <[hidden email]> > 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 TeslaR 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 [hidden email] To unsubscribe from this group, send email to [hidden email] For more options, visit this group at http://groups.google.com/a/sfcomplex.org/group/discuss ============================================================ 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 |
In reply to this post by Owen Densmore
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 On Nov 15, 2010, at 8:59 AM, Owen Densmore wrote:
============================================================ 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 |
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In reply to this post by Owen Densmore
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 <[hidden email]> >> Date: November 15, 2010 9:28:44 AM MST >> To: Owen Densmore <[hidden email]> >> 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 <[hidden email]> >>>>> Date: November 15, 2010 6:44:02 AM MST >>>>> To: Thunko <[hidden email]> >>>>> 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 <[hidden email]> >>>>>> Date: November 15, 2010 3:49:12 AM EST >>>>>> To: "[hidden email]" <[hidden email]> >>>>>> 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 |
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