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European Teams to Face Off in ISC’13 Klusterkampf

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Over at the Student Cluster Competition Blog, Dan Olds writes that the first Battle of Liepzig in 1813 can’t really compare to what’s coming in June: The Second Battle of Leipzig, aka the ISC’13 Klusterkampf. Now in its second year, the ISC Student Cluster competition will feature nine teams of university undergrad students in a quest to build the fastest supercomputer on the show floor.

Chemnitz University of Technology is only 51 miles from Leipzig and thus the hometown favorite. The school, founded in 1836, was a fast starter in terms of science and technology. During one pre-1900 period, Chemnitz generated more patent registrations than any other institution in the world. Currently, the university is ranked near the top of German technical schools, a reputation they’ll be putting on the line at the student cluster challenge. Judging by their entry application, Chemnitz (or TUC, which stands for Technische Universitat Chemnitz) has a deep HPC curriculum, including courses and research on FPGA and GPU application acceleration. Team TUC has partnered with German hardware vendor MEGWARE GmbH to build “TurboTUC,” the schlachtkreuzer they hope to ride to victory.

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Durham Cluster Allows Researchers to Reach for the Stars

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A high-performance server cluster is enabling researchers at the Institute for Computational Cosmology (ICC), based at Durham University and throughout the wider UK astrophysics community, to better understand the universe by allowing them to model phenomena ranging from solar flares to the formation of galaxies.

The cluster is part of the DiRAC (Distributed Research using Advanced Computing) national facility. As such, members of the UKMHD consortium, ICC members and their national and international collaborators also use the cluster. In total, the cluster is used by researchers at universities in the UK including Leeds, Liverpool, Manchester, St Andrews, Sussex and Warwick, and from abroad by people in Australia, China, Germany and the Netherlands.

The cluster is known as The Cosmology Machine (Cosma) and is a combination of Cosma5, a new IBM and DDN technology infrastructure integrated with Durham University’s existing cluster, Cosma4 (originally installed in January 2011).

Boosted by new infrastructure, Cosma now has 9,856 CPU cores and 4,096 GPU cores. It includes 71,000 Gigabytes (GB) of RAM and the peak performance of the system is 182T/Flops. Cosma has 3.5 petabytes of storage for the data produced by cosmology applications.

The server cluster and storage has been designed, built, installed and will be supported by Durham University’s data processing, data management and storage partner, OCF.

This story appears here as part of a cross-publishing agreement with Scientific Computing World.

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Air-Cooling Cascade with the New Cray XC30-AC Supercomputer

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Today Cray introduced the Cray XC30-AC supercomputer as an air-cooled addition to its series of Cray XC30 (Cascade) systems. Shipping now, the new Cray XC30-AC supercomputer includes all of the advanced HPC technologies offered in the Cray XC30 system, and features aggressive price points intended to attract a new a class of HPC users – the technical enterprise.

Innovation is not limited to Fortune 100 companies. There are many Fortune 1000 companies, and even departments within Fortune 100 companies, with a growing need for a supercomputing system that provides a critical tool for taking advantage of performing complex simulations,” said Peg Williams, Cray’s senior vice president of high performance computing systems. “With all of the features and functionality of our high-end Cray XC30 systems, our new Cray XC30- AC supercomputer is perfectly suited for technical enterprise customers, giving them the ability to leverage all of the world-class computational resources of a Cray supercomputer at much lower starting price points.”

In case you’re wondering, the Cray XC30-AC does not incorporate Appro technology. Cray acquired Appro late last year, and that company was known for its innovative system cooling.

With prices starting at $500,000, the Cray XC30-AC does feature the same key traits of the Cray XC30 system – the Aries system interconnect and the Cray Linux Environment. The system has ability to handle a wide variety of processor types, including Intel Xeon processors, Intel Xeon Phi coprocessors, and NVIDIA Tesla GPU accelerators.

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GPU-based Brain Research Hits it Out of the Park

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The robot’s task is to learn the timing needed to hit a flying ball, mimicking the sort of visual thinking humans use to quickly learn how to navigate through the real world.

Over at the Nvidia Blog, Brian Caulfield writes that researchers in Japan has used GPUs and the CUDA parallel programming model to create a 100,000 neuron simulation of the human cerebellum, one of the largest simulations of its kind in the world. And they’ve put their model to the test by applying this knowledge to teach a robot to learn to hit a ball.

Our physical actions change the environment, which changes the sensory input to human brain our sensation. The brain then processes this changed sensory information and determines what action to take. It is called the ‘sensorimotor loop,’” Igarashi explains. “The brain must continue to choose appropriate actions on the basis of gradually-changing sensory information.”

One of the biggest challenges in modeling neural brain function: simulation speed. Using a CPU alone it took 98 seconds of compute time to figure out how to respond to a stimulus lasting just one second. Using GPUs resulted in a 100x speedup, giving the GPU-based system the speed needed to handle real world tasks.

To show their system in action, the researchers demonstrated their robotic system learning – in real time – how to hit a small plastic ball thrown by a toy pitching machine with a round plastic racket. Yamazaki believes his work could result in robots within 5 years that rely on a silicon cerebellum that will allow them to “think” – that is, they would be able to assess their environment and organize movements autonomously.

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insideHPC Video Archive

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insideHPC Video Archive

We try to keep this page up to date, but you can always find our latest works on our RichReport YouTube Channel.

2013 Event Coverage:

SC12 Videos (Alphabetical by Vendor Name):

Adaptive Computing

Adaptive Computing SC12 Booth Theater

Aeon

Allinea

Altair

AMD

Asetek

Bull

CAPS-Enterprise

Colfax International

Cycle Computing

DDN

  • DDN Powers Genomics at the Virginia Bioinformatics Institute. Dr. Harold (Skip) Garner from the Virginia Bioinformatics Institute describes how Big Data I/O is required to crunch Genomics data in the fight against cancer.
  • DDN Ramps Up for Exascale at SC12. Jeff Denworth from Data Direct Networks describes the company’s high performance storage solutions for HPC. Used by 60 percent of the TOP100 supercomputers in the works, DDN recently announced a $100 Million dollar investment in Exascale technologies.
  • Steve Simms on the Data Capacitor II at Indiana University. Steve Simms from Indiana University describes a recent upgrade to the Data Capacitor project, a high-speed, high-capacity storage facility for very large data sets. With 5 PB of storage, Data Capacitor II will support big data applications used in computational research. IU partnered with DDN to develop Data Capacitor II, which is scheduled to be installed in the IU Data Center in spring 2013.

Dell

Gnodal

HPC Advisory Council

  • HPC Advisory Council Announces Student Cluster Teams for ISC’12. Gilad Shainer, Tong Liu, and Pak Lui from the HPC Advisory Council revue the organization’s outreach efforts for the past year and look forward to 2013. The council is an active sponsor of international Student Cluster Competitions that encourage young people to learn parallel programming skills.

IBM

IDC

  • IDC HPC Market Update from SC12. Did you know that 3Q2012 was the biggest quarter of revenue in the history of HPC? In this video from SC12, Earl Joseph from IDC presents the latest on the supercomputing market.

Inktank

  • Inktank Boosts Open Source Ceph File System. Neil Levine from Inktank describes the company’s efforts to commercialize and support the Ceph open source file system. With high reliability and nearly unlimited scalability, Ceph has great potential for Big Data applications as well as an enabling technology for Exascale computing.

Intel

Intersect360 Research

NAG

Nirvana

Numascale

Nvidia

Mellanox

  • Mellanox Breaks Performance Records, Dominates TOP500 at SC12. Todd Wilde from Mellanox describes the company’s recent advancements in high speed InfiniBand interconnects. Infiniband recently InfiniBand has become the leading interconnect on the TOP500 with 224 clusters and the Connect-IB dual-port 56Gb/s FDR InfiniBand adapter recently achieved the industry’s highest throughput of more than 100Gb/s utilizing PCI Express 3.0 x16 and over 135 million messages per second, 4.5X higher than previous or competing solutions.

OpenSFS & EOFS

Panasas

  • Panasas Showcases ActiveStor 14 at SC12. By accelerating small file and metadata performance with Solid State Drive (SSD) technology, ActiveStor 14 delivers extreme performance, for the technical computing and big data workloads commonly found in HPC environments.
  • Panasas Chief Scientist on Where HPC Meets Big Data and Hadoop. Panasas ActiveStor not only accelerates product design and scientific discovery applications, but will perform seamless Hadoop analyses, ensuring that customers can extract maximum value from their existing big data infrastructure.

Penguin Computing

Rogue Wave Software

Samplify

SC12 Committee

  • SC12 Press Conference with Jeff Hollingsworth. In this video, SC12 General Chair Jeff Hollingsworth opens the show press conference in Salt Lake City. This year there were a record number of exhibitors have booths at the show. Recorded Nov. 12, 2012.

Scalable Informatics

Seneca

SGI

  • Interview: SGI Teams with Altair on the Road to Exascale. Paul Kinyon from SGI’s product management team describes how the company is working with partners like Altair to solve customer’s toughest computational challenges. The company is looking at a range of technologies that could enbable Exascale computing capabilities at a practical level of power consumption.
  • Intel Xeon Phi Adds Smarts to SGI UV. SGI’s Chief Marketing Office Franz Aman describes the company’s full range of solutions featuring the new Intel Xeon Phi coprocessor for HPC.

Solarflare

Spectra Logic

Supermicro

Sugon

Texas Instruments

The Portland Group

  • PGI’s Michael Wolfe on OpenACC Directives for GPUs. Michael Wolfe from The Portland Group discusses the origins of the OpenACC standard for programming directives in GPUs. He also weighs in on the recent OpenMP 4.0 technical report, which proposed to incorporate OpenACC directives into OpenMP 4.0 sometime in 2013.

VMware

  • Interview: Josh Simons on HPC Cloud Trends at SC12. Josh Simons from the VMware CTO office describes recent trends in Cloud Computing for HPC. The company is looking at how virtualization technologies could benefit supercomputing on the road to Exascale.

Xyratex


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Video Gallery: HPC Advisory Council Switzerland Workshop

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Video Gallery: HPC Advisory Council Switzerland Workshop

 

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Video: GPUDirect Support for RDMA and Green Multi-GPU Architectures

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In this video from the 2013 GPU Technology Conference, Dustin Franklin from GE Intelligent Platforms presents: GPUDirect Support for RDMA and Green Multi-GPU Architectures. View the GE Presentation Slides on Slideshare.

This talk caused quite a stir and we have done a number of posts on it including a Radio Free HPC podcast.

Note that all presentation videos and slides from the GPU Technology Conference are now available on-demand.

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Interview: NAG’s Andrew Jones on the HPC Opportunities Coming to ISC’13

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As an active blogger and HPC community member, Andrew Jones from NAG is a fixture at many HPC conferences worldwide. With ISC’13 coming up in Leipzig on June 16-20, I caught up with Andrew to get his perspectives on the conference, HPC trends, and an update on his 2013 predictions.

insideHPC: In your blog and various talks I’ve seen, it is obvious that you are very passionate about the topics of hardware and software in the HPC space. What are the issues that resonate with you in these areas?

Andrew Jones: Yes, as anyone who has encountered me at conferences or read my blogs (hpcnotes.com and blog.nag.com) will know, I am a passionate advocate of HPC as a tool for science and economic impact – and equally passionate about ensuring that HPC is seen as a complete ecosystem of hardware, software, people, processes, etc. and not merely the hardware that is often the default focus of HPC. Clearly the hardware matters – a supercomputer offers the promise of a big performance increase over smaller computers. But the supercomputer on its own is just a device for converting money into waste heat (via some floating point units and an oversized electricity bill). The hardware needs software (applications) to turn the potential performance into a real science tool or engineering capability etc. And in turn, those applications need supporting infrastructure (middleware) to efficiently use the resources. Underpinning all of this software and hardware is the requirement for people – to design, deliver, program, etc. this complex ecosystem which can be such a powerful tool. All parts of this ecosystem need attention (and investment) in order to achieve the maximum rewards of HPC. I am lucky that I am not merely evangelizing this “software & people deliver performance” message based on faith. At NAG we have built up a significant evidence of success stories (from over 50 projects) that demonstrate that HPC expertise applied to application innovation really does deliver increased science/engineering output – much more so than investing the same effort/money in more hardware.

insideHPC: You attend many of the same HPC events around the world as I do. The other day, you mentioned at dinner that any HPC event is really not about the technical program so much but everything else around it, such as the networking opportunities, the exhibition, etc. Can you elaborate on that?

Andrew Jones: I believe the greatest potential value for most attendees is informally meeting a diverse range of fellow HPC professionals and users. Perhaps I could illustrate this by looking at the extreme – much of the obvious content of the technical program could be acquired through reading published papers or watching recordings of the conference talks, etc. However, attending the conference itself allows the possibility of a conversation with the author, or perhaps one of the other audience members inspired by the paper, etc. To me, it is that discussion inspired by the talks that is the real opportunity of HPC events. In smaller events the technical program is critical because that is where most of the attendees will spend most of their time and thus it sparks opportunities for networking. In the bigger events (e.g., SC or ISC) only a small proportion of the attendees will spend significant time in the main technical program, the rest being spent in the exhibition or surrounding side-meetings. Indeed, it is difficult to create a program of quality in every topic required to attract the breadth of attendees at such large events. At these events, the knowledge on offer comes also from a comprehensive exhibition (an often undervalued aspect of the bigger HPC events) which allows a much broader set of ideas, products and research to be offered to catch people’s attention than a technical program could do in a sensible timeframe. In my experience, catching up with existing contacts, discussing experiences with industry practitioners and experts, and creating new relationships are the key activities at HPC events that are likely to lead to beneficial collaborations.

insideHPC: We’re well into the year 2013. How well are your those HPC predictions you blogged about coming into fruition?

Andrew Jones: I said Big Data will gradually be overtaken as the buzzword of choice for the HPC community. No sign of that yet! I predicted that some new buzz-themes (needing catchy buzzwords) would emerge, specifically energy-efficient computing and ease-of-use in HPC. There are some tentative signs of this happening, especially energy-efficient computing, but I think there is still more to come this year.

I said there would be continuing discussion of GPU vs. Phi as the accelerator of choice – especially at ISC’13. I think this one is pretty much true so far, but let’s see in Leipzig!

I also predicted that the HPC community would see a strong focus on industrial HPC this year, especially engagement between centers of HPC expertise and industry users. [Note that I say “centers of HPC expertise” – it is critical that this does not mean only supercomputer centers – there is a lot of real expertise in HPC outside of the supercomputer centers – e.g., within the main HPC vendors, or specialist HPC expertise providers such as NAG, or in some cases within the industrial end users themselves.] I think this prediction has already come true, with more on the way. I hear companies increasingly seeing the potential of HPC within their business; those who have previously invested are increasing and broadening their investments; and companies are seeking interactions with centers of HPC expertise to get a step ahead of their competitors. At least in the UK, politicians are very keen to get industry using HPC and that investments are increasingly being predicated on that.

insideHPC: What will NAG be showcasing at their ISC’13 exhibit?

Andrew Jones: As always, NAG will send several staff to ISC’13. We will be available to discuss how our team of HPC software engineers can enhance customer application codes to implement better scalability, new algorithms or other innovations to get more performance and solve more complex problems. We can also help with advice on HPC strategy and procurement, and planning application development to exploit future hardware technologies.

As well as the HPC services and consulting side of our business, NAG will be showcasing the latest in our libraries products. In particular, this year we have a new release of the NAG Library (Mark 24) including new routines in optimization, FFTs, wavelets and data fitting – well over 1,000 routines in total including the existing NAG chapters. We’ll also display the NAG routines on the Intel Xeon Phi co-processor and other parallel computer technologies.

insideHPC: What is the NAG Library for SMP & Multicore?

Andrew Jones: The NAG Library for SMP & Multicore is a full implementation of the NAG Library in which a large number of the routines have been enhanced for parallel processing using OpenMP. This means they can run significantly faster on multi-socket and multicore systems, processing larger amounts of data, etc. This offers customers an easy way to achieve the performance advantage of multicore processors – simply link to the multicore version of the NAG Library instead of the serial version.

insideHPC: Why do you continue to attend and exhibit at ISC year after year? What makes this event special?

Andrew Jones: It is a HPC event that combines the best of everything. It has scale – over a thousand attendees – while somehow managing to retain the engaging small conference atmosphere of its origins. It has one of the better technical programs of the larger conferences due to the hard work by the organizers to balance well-chosen invited talks, discussion panels and peer-reviewed papers. Most importantly, the agenda, the exhibition, and the surrounding social events are all planned with excellent opportunities for networking.

At a local level, Germany is an important market for us both in both commercial and academic sectors (e.g., we have a number of large academic site licenses for our libraries), so ISC is a good opportunity to meet some of our end users.

Overall, for NAG, ISC’13 is a great place to meeting new people, to learn from them and to understand how NAG can help them with their HPC and numerical computing.

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Podcast: Radio Free HPC on GPU-Direct RDMA

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In this follow-up podcast to the GPU Technology Conference, the Radio Free HPC team mulls over a talk by GE’s Dustin Franklin, GPU app specialist. Dustin’s topic was GPU-direct RDMA; was this a first look at real-world RDMA with GPU-to-GPU communications?

Follow along as the guys describe flow charts on technical slides that are not yet approved by viewing for the “great unwashed masses” – but make no mistake, they’re impressed by what they saw. Dan “knows a guy” who can divulge more, and offers to arrange an inquisition with Henry. Henry promised to “be nice,” whatever he means by that. Rich missed this GTC session and several others while “conducting interviews,” whatever he means by that. Dan offers another characterization. And this just in: there’s a great deal of information available on the Internet.

Download the MP3 * Subscribe on iTunes * RSS Feed

View the GE Presentation Slides on Slideshare or check out the excellent coverage by Timothy Prickett Morgan over at The Register.

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Video: One Stop Systems, Maximum GPU, Minimum Space

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In this video, Dan Olds from Gabriel Consulting visits the One Stop Systems booth at the GPU Technology Conference.

Jim Ison, VP of Sales at One Stop Systems, walks us through their monster PCIe expansion chassis that can hold up to 16 full size GPU cards. In order to do this, This product is truly an innovative design – packing this amount of processing power into only 3U worth of rack space.


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Video: CreativeC Challenges HPC Conventions

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In this video, Dan Olds from Gabriel Consulting visits the CreativeC booth at the GPU Technology Conference. As an HPC Consulting company, CreativeC builds scalable computing solutions and video wall display systems.

One of the coolest things was a demo of their new Scorpii project. Scorpii is a visualization system. At the show, it used two systems with six GPUs to generate a Toy-based molecular dynamics model and another system with three GPUs to project the model on nine displays in real time. It’s an affordable platform that allows researchers to generate their simulations and visualize the results quickly, rather than wait hours for the program to execute on a traditional supercomputer. On the video, Tim Thomas, physicist and Deputy Director of UNM Advanced Research Computing (also a CreativeC consultant) walks me through the simulation.

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NREL Using Asetek Direct-to-chip ‘Hot water’ Liquid-cooling System

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Asetek has announced that the US Department of Energy’s National Renewable Energy Laboratory (NREL) will install Asetek’s RackCDU direct-to-chip ‘hot water’ liquid-cooling system as a retrofit to NREL’s Skynet HPC cluster.

As part of this liquid-cooling retrofit, the cluster will be relocated into the new data centre at the Energy Systems Integration Facility (ESIF) in Golden, Colorado, which is designed to be the most energy efficient data centre in the world, with a PUE (power usage effectiveness) of 1.06.

The data centre at ESIF will use ‘warm water’ (75 degrees Farenheit) liquid cooling to operate servers and to recover waste heat for use as the primary heat source for the building office space and laboratories. The higher liquid temperatures used by Asetek’s RackCDU (105oF) will improve waste-heat recovery and reduce water consumption for the data centre.

Because of RackCDU’s design, these performance improvements will be achieved without the need for a customised server design. The system will be installed as a drop-in retrofit to existing air-cooled servers and racks.

RackCDU is a hot water, direct-to-chip, data centre liquid cooling system that enables cooling energy savings of up to 80 per cent and density increases of 2.5x when compared to modern air cooled data centres. RackCDU removes heat from CPUs, GPUs, memory modules and other hot spots within servers and takes it out of the data centre using liquid where it can be cooled for free using outside air, or recycled to generate building heat and hot-water.

By retrofitting an existing air-cooled HPC cluster with RackCDU, NREL will reduce the cooling energy required to operate this system, reduce water usage in the cooling system and increase the server density within the cluster, reducing floor-space and rack infrastructure requirements.

Ambient water temperature in the hydronic system is a critical factor in data centre efficiency and sustainability,’ said Steve Hammond, director of the Computational Science Center at NREL. Starting with warmer water on the inlet side can create an opportunity for enhanced waste-heat recovery and reduced water consumption, and in many locations can be accomplished without the need for active chilling or evaporative cooling, which could lead to dramatically reduced cooling costs.”

This story appears here as part of a cross-publishing agreement with Scientific Computing World.

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Video: An Update on GPUs on Wall Street

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In this video from the 2013 GPU Technology Conference, Pierre Spatz from Murex provides an update on how GPUs are used on Wall Street.

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Video: GE Goes Rugged

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In this video, Dan Olds from Gabriel Consulting visits the GE booth at the GPU Technology Conference to get a gander at some high-powered embedded systems.

Looking for a computer that can really take some punishment? Then look no farther than GE’s line of ruggedized systems that are designed to handle temperature extremes and shocks up to 40G.


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Hybrid CPU-GPU Chips Plus RDMA and PCI-Express Make for Screamin’ Iron

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Over at The Register, Timothy Prickett Morgan writes that a GE presentation at the recent GPU Technology Conference discussed the benefits of Remote Direct Memory Access (RDMA) for InfiniBand and its companion GPUDirect method of linking GPU memories to each other across InfiniBand networks.

On plain old CPUs, RDMA allows CPUs running in one node to reach out through an InfiniBand network and directly read data from another node’s main memory, or push data to that node’s memory without having to go through the operating system kernel and the CPU memory controller. If you prefer 10 Gigabit Ethernet links instead, there is an RDMA over Converged Ethernet, or RoCE, wrapper that lets RDMA run on top of Ethernet – as the name suggests. With GPUDirect, which is something that InfiniBand server adapter and switch maker Mellanox Technologies has been crafting with Nvidia for many years, the idea is much the same. Rather than having a GPU go back to the CPU and out over the network to get data that has been chewed on by another GPU, just let the GPUs talk directly to each other over InfiniBand (or Ethernet with RoCE) and get the CPU out of the loop.

GE's IPN251 hybrid computing card marries a Core i7, a Xilinx FPGA, and an Nvidia Kepler GPU with a PCI switch

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