Entries filed under “Green HPC”

Design and management techniques that contribute to the responsible, effective use of energy in the operation of high performance computing centers and equipment.

Moving Compute for a Greener Future

In a recent interview in EarthSky magazine, AMD Fellow David Mayhew describes a research collaboration that’s helping plan how to build a network of data centers powered by wind and solar energy.


What if you could rent access to computation from a bunch of data centers sitting out in fields next to windmills? Then, first, you don’t own the computer anymore, and it’s not really your problem to keep it running and keep it from having viruses. And you’re not upgrading it. You would just have this ubiquitous access to computation. That would be a much better model, I think, for most users, whether personal users or business users. Let’s turn computation into something that’s a lot like electricity. We use it but leave its creation to a relatively small set of very expert people.

Read the Full Story or download the MP3.

Also posted in Cloud HPC, Computing Research, HPC | 1 Comment

DARPA Challenge to Inspire 40x Power Efficiency Improvement for Supercomputers

Eric Smalley from Discover Magazine describes how researchers are stepping up to a DARPA Challenge to construct a Petaflop supercomputer by 2018 that consumes no more than 57 kilowatts of electricity.

The teams that survive the initial design, simulation, and prototype-building phases may earn a chance to build a full-scale supercomputer for Darpa. Making the cut will demand a total rethink of computer design. Nearly everything a conventional computer does involves schlepping data between memory chips and the processor (or processors, depending on the machine). The processor carries out the programming code for jobs such as sorting email and making spreadsheet calculations by drawing on data stored in memory. The energy required for this exchange is manageable when the task is small—a processor needs to fetch less data from memory. Supercomputers, however, power through much larger volumes of data—for example, while modeling a merger of two black holes—and the energy demand can become overwhelming. “It’s all about data movement,” said Sandia’s Richard Murphy

Four teams from Intel, Nvidia, Sandia and MIT are currently competing, but the final solution may incorporate multiple technologies derived from the competition. Read the Full Story.

Also posted in Computing Research, HPC | 1 Comment

NPR Podcast: Curbing Supercomputers’ Growing Drain on Energy

In this podcast, LBNL’s John Shalf appears on NPR’s Morning Edition radio show on efforts to reinvent supercomputing processors to consume less energy.

Supercomputers have become a critical tool for scientists. Each year, they get bigger and faster — and use a lot more power. Soon, each one will need as much energy as a small city. That has researchers looking to reinvent the supercomputer — by using the technology inside cellphones.

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Video: Panel Discussion – Has the PUE Issue Already Been Solved for the Datacenter?

Has the issue of optimized PUE largely been solved already for large datacenters? In this presentation, you’ll hear from the following individuals in a panel discussion moderated by James Hamilton of Amazon.

  • Chris Malone, Google
  • Rob Coupland, Telecity Group
  • Ian Bitterlin, Ark Continuity Ltd
  • Brian Waddell, Norman Disney & Young

Recorded at the 2011 Data Centre Efficiency Summit held on May 24 in Zürich, Switzerland. A tip of the hat goes to Datacenter Knowledge for pointing us to this story.

Also posted in Cloud HPC, Datacenter operations, HPC, Video | Leave a comment

Green Storage Technology Takes Off for the Sustainable Cloud

This week Cutting Edge Networked Storage rolled out their new green storage technology for the cloud at the Esri International User Conference in San Diego. The new Power Saving Cloud Archive boasts “up to 90% power savings” and lower TCO for organizations struggling with mounds of unstructured data.

Our new Power Saving Cloud Archive sets a new paradigm toward the deployment of advanced unified multi-tiered storage solutions that provide access at both block level and file level, thereby giving users greater flexibility to handle the full range of data types within the same storage systems,” said Michael Ehman, president of Cutting Edge Networked Storage. “The bottom line is that the Power Saving Cloud Archive architecture is poised to revolutionize the industry by taking unified storage to the next level – into the “Green Cloud” – which will result in unprecedented levels of performance, scalability, reduced carbon emissions and cost savings.

Based on an open-systems approach, the Power Saving Cloud Archive uses EdgeWare for unified storage related functions. Read the Full Story.

Also posted in HPC, HPC Hardware, Storage | Leave a comment

Registration Open: International Conference on Energy-Aware HPC, September 7–9, 2011

Registration is now open for the Second International Conference on Energy-Aware High Performance Computing.

Power provisioning and energy consumption become major challenges in the field of high performance computing. Energy costs over the lifetime of an HPC installation are in the range of the acquisition costs. Green IT became the latest hype and promises to solve the problem – however, it is beyond the realm of HPC. The greening of HPC is a new research field that attracts many scientists. Up to now we see different approaches on different abstraction levels in an HPC environment. For example, vendors work on power efficient processor architectures and software developers on mechanisms of how to trigger them. However, there is no integrated approach yet that would show ways of how to operate an HPC environment in an energy efficient way. The EnA-HPC conference aims at bringing together researchers, developers, vendors, and users to discuss the energy issue in HPC and to present novel solutions to tackle this problem.

Read the Full Story.

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Video: HP EcoPOD Tour – World’s Most Efficient Datacenter

In this video, Wade Vinson provides a tour of HP’s next-gen modular data center.

Last month HP unveiled the EcoPOD, its next-generation modular data center, which comes equipped with the capability to use outside air to cool up to 44 racks of gear in a “double-wide” design with two rows of cabinets.

According to Marc Hamilton, HP’s Vice President of HPC, the EcoPOD requires six semi-trailers to ship and is assembled on site. A tip of the hat goes to Datacenter Knowledge for pointing us to this story.

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Podcast: Supercomputers Hit an Energy Wall


Clipped from: www.kqed.org (share this clip)

In this podcast from the Quest KQED show, Lauren Sumner interviews LBNL’s John Shalf and Kathy Yelick on the need to make supercomputing more energy efficient on the road to Exascale.

“We’re able to demonstrate an additional 80 times more energy efficiency than business as usual, and that gets us within striking distance of where we need to be to build a practical supercomputer.”

Read the Full Story.

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Video: ARM-Based Servers from Calxeda to Sip Datacenter Power

In this video, GigaOm’s Katie Fehrenbacher interviews Calxeda’s Karl Fruend on the company’s low-power servers based on ARM cell-phone processors. Calxeda is basically a chip company and will be rolling out their products in 2012.

I worked with Karl back in the Cray Research days. The startup energy at Calxeda seems to be a good fit. Read the Full Story.

Also posted in HPC, inside Startups, Video | Leave a comment

Time-Lapse Video: Tokyo As a Dark City

Our Video Sunday feature continues with this time-lapse video of Tokyo before and after the recent natural disasters that have resulted in rolling blackouts.

I found myself extremely moved by this piece. The notion of a thriving city going dim is one thing, but to see it happen is something else entirely.

As a writer, I spend my days looking for technology trends and clues of the future. Sometimes I find hopeful things, stories of tech and methodologies that fly in the face of our global sustainability challenges. But if we don’t see the foreshadowing in something like this video, maybe we aren’t looking hard enough.

The Full Story is here. A tip of the hat goes to Jim Grisanzio for pointing us to this video.

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Open Compute Project is Open Source for Greener Datacenters

HP’s Marc Hamilton has written an interesting post on Facebook’s new Open Compute Project, a year-long quest to build one of the world’s most power-efficient datacenters right here in Oregon.

“Nearly every HPC data center could benefit from design concepts in Open Compute’s data center specifications for electrical, mechanical, and battery backup systems. Unfortunately, building your own Open Compute server from the specs is probably a lot easier than replicating the data center electrical, mechanical, and battery systems to achieve the 1.07 PUE achieved by Facebook. You can, however, get many of the same data center efficiencies from an HP POD (Performance Optimized Datacenter).”

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Cooling System Problems at Wright-Patterson Trouble DoD’s Largest Super

The Dayton Daily News reports of trouble at Wright-Patterson Air Force Base, where a power and cooling systems contractor may sue the government over issues involved in the installation of Raptor, the Defense Department’s largest supercomputer. The system, which was publicly unveiled On March 4, is intended to support weapons systems design, modeling and simulation studies of warfighting systems.

The contractor, DeBra-Kuempel, claims it is being blamed for what it describes as a faulty design in Raptor’s chilled water cooling system. Read the Full Story.

Also posted in HPC, New Installations | Leave a comment

LMU Munich Builds ARM-Based Cluster with AppleTV Devices

There has been much speculation about future ARM-based supercomputers recently. Now, researchers at Ludwig-Maximilians-University (LMU) Munich have built the first-ever HPC cluster from AppleTV devices.

We’ve built a small cluster of AppleTV 2 devices to evaluate energy efficient computing on ARM-powered devices,” said LMU’s Karl Fuerlinger. “If you are not familiar, the 2nd generation AppleTV (ATV2) was released last fall and has essentially the same hardware as the 1st generation iPad (Apple A4 SoC with a Cortex-A8 CPU and a PowerVR GPU). The devices are small (about the size of a hockey puck) and affordable ($100 USD) so they represent an ideal starting point for an evaluation of ARM-based parallel computing.”

At tip of the hat goes out to Karl Fuerlinger for pointing us to this story. Karl went on to say that, while this project is a work-in-progress, they do have the cluster up and running MPI jobs and are benchmarking code. They plan to release a HOWTO guide and a white paper about their experiences soon. Read the full story at AppleTVcluster.com or check out the project photo gallery.

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Intel Single Chip Cloud Wins German Green Tech Award

Intel’s Sean Koehl writes that German government recently presented Intel with an award for the development of the 48-core concept vehicle, the Single Chip Cloud Computer. The research chip won a German Innovation Prize for Climate and the Environment in the category “Environmentally Friendly Technologies.” Franz Olbrich, from the Intel lab in Germany which co-led the design of the SCC, traveled to Berlin to accept the award today on behalf of the company.

The SCC has also been shared with worldwide research partners through Intel’s recently launched Many-core Applications Research Community (MARC), a program aimed at spurring innovations in highly parallel software. More than 100 teams are conducting research on programming models, operating systems, development tools and programming languages for both microprocessors and data centers of the future. As a final note – in accepting the award Franz also announced today that Intel plans to match the 25,000 Euro prize and donate it to a scholarship program which sponsors talented, high-profile students in Germany.

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Calxeda Boasts of 5 watt ARM Server Node

By Timothy Prickett MorganGet more from this author

How does a server node including a processor, memory, and fabric interconnect that only consumes 5 watts under load grab you? How about 120 server nodes in a 2U chassis?

ARM server chip startup Calxeda, formerly known as Smooth-Stone, is lifting the veil a bit on its future processors, which are in development now. Calxeda is attending the GigaOM Big Data 2011 conference in New York next week and wants to start building momentum for its future chips, which it hopes server makers will pick up and make into servers in the coming years. Calxeda announced its name change and some vague information about its chips back at the SC10 supercomputer conference in November, and told El Reg it was working on a “server on a chip” design that would result in an ARM server being half the cost of an x64 box, with it using one-10th the energy and occupying one-10th the space.

Karl Freund, the vice president of marketing at Calxeda who came on board from IBM’s System z mainframe division last year and who has done marketing for Hewlett-Packard workstations, Cray Research supercomputers – and IBM Unix boxes before that – tells el Reg that the Calxeda design is a bit different from the future server chips that are expected with the Cortex-A15 processors from ARM Holdings. It is also different from the variants that ARM licensees are expected to bring to the market in 2013 or so. Freund says Calxeda can’t wait that long, and more importantly, that there is no reason to.

This kind of talk is what you would expect from Barry Evans, Calxeda’s CEO, and co-founders Larry Wikelius and David Borland. Evans ran Intel’s low-power x86 and Xscale ARM RISC chip businesses, while Wikelius designed chips and servers at Newisys and Borland has designed chips of various sorts for Marvell, Intel, and Advanced Micro Devices.

In August 2010, Calxeda had raised $48m in funding from ARM Holdings, Advanced Technology Investment Company (AMD’s fab partner), Texas Instruments, Battery Ventures, Flybridge Capital Partners, and Highland Capital Partners. True to the David-versus-Goliath image of its original name, Calxeda definitely wants to throw stones, and especially at people who live in glass houses.

The precise feeds and speeds of the Calxeda chips are still not known, but Freund knows from his days of marketing Power systems at Big Blue that putting out some details can prep a market for consumption – as IBM most certainly did in the two years before its dual-core Power4 chips hit the market in the autumn of 2001. That Power4 chip and its successors turned IBM from a joke in the Unix server business to the dominant Unix system supplier a decade later.

“Anybody with a few million dollars can produce an ARM chip. So what makes us different?” Freund asks.

Not the core, that’s for sure. Calxeda is starting with the Cortex-A9 core, which is the current 32-bit part that can be licensed from ARM Holdings. (You can license the 40-bit, virtualization-assisted Cortex-A15 part from ARM Holdings, too, but that won’t be a production product for another two years or so.)

“What you don’t want to do with a server chip is build your first product on a technology that is not proven yet,” says Freund. “You have to wait for the design to settle down, as the Cortex-A9 has. If you’re out on the front end of things, you can get into trouble.”

Freund confirmed to El Reg that Calxeda is working on a quad-core Cortex-A9 processor with an integrated DDR3 memory controller and a homegrown fabric interconnect for the chips. The A9 core has integer and floating point units as well as a DDR2 memory controller and an L2 cache controller that can span from 128 KB to 8 MB, depending on what you want. Calxeda is adding DDR3 controllers and an unknown amount of cache. ARM Holdings’ whitepaper on the Cortex-A9 chips suggests that L1 caches be set at 32 KB for instructions and 64 KB for data for networking and home gateways, with anywhere from 512 KB to 2 MB for L2 cache shared by the cores, and this is likely to be the shape of Calxeda’s server chip. It is not clear if Calxeda will leave in the Media Processing Engine (MPE), but it seems likely that the floating point units will stay. Calxeda is putting a DDR3 memory controller on the chip for sure, and will be supporting ECC memory, of course, because this is a server, not a PC or tablet.

Calxeda is also cooking in that homegrown interconnect, which has yet to be given a name outside of the company. It is not clear how the Calxeda interconnect will hook into the Cortex-A9 chip, but that ARM design allows for two 64-bit Advanced Microcontroller Bus Architecture (AMBA) Advanced Extensible Interface (AXI) ports, with a combined 12 GB/sec of bandwidth into the system interconnect on the chip. It may be that Calxeda is interfacing a whole different protocol onto the chip – perhaps InfiniBand or 10 Gigabit Ethernet – right down on the chip, interfacing with the AXI ports. This would be the simplest and cheapest thing to do.

Because the Cortex-A9 is only a 32-bit processor, the Calxeda server nodes will top out at 4 GB of main memory per node. That is the upper limit of addressability for a 32-bit processor, of course, and in this case, it will be a single 4 GB stick of low-power DDR3 memory in a single slot.

Freund says that a quad-core A9-derived processor, plus its memory controller, the DDR3 memory module, and the on-chip fabric interconnect will burn only 5 watts. Clock speeds were not divulged, but it will probably be somewhere between 1 GHz and 2 GHz. That is less juice than a fat DDR3 memory stick uses, forget about the Intel or AMD x64 chip.

This gives us extremely high levels of density,” says Freund. And, the fabric interconnect will allow for “multiple thousands of cores” to be lashed together and controlled as a unit. (But not in a cache-coherent, shared memory manner. Don’t get the wrong idea.)

The Cortex-A9 does not have any circuits to do virtualization, but Freund says that on the workloads that Calxeda expects customers to use the chip for, they won’t need hypervisors to carve up the servers. The will already have parallelized workloads that span thousands of nodes that run at very high utilization rates. On an X64 server, you use a hypervisor to plunk multiple server images on one set of chips, workloads that might only consume 5, 10, 15, or 20 per cent of the raw CPU capacity by themselves, driving up utilization of the overall system.

That said, hypervisors and their control freak add-ons are also useful for managing workloads and spreading running workloads around a cluster of machines. Freund says that Calxeda is participating in the OpenStack cloud fabric effort to see how to adapt these tools to manage bare-metal images instead of virtual images on machines using its ARM variants. The Linux community is also working on software container technology for ARM chips, too, according to Freund, which could be useful for some workloads.

Calxeda is not going to make and sell servers, but rather make chips and reference machines that it hopes other server makers will pick up and sell in their product lines. The company hopes to start sampling its first ARM chips and reference servers later this year. The first reference machine has 120 server nodes in a 2U rack-mounted format, and the fabric linking the nodes together internally can be extended to interconnect multiple enclosures together.

The initial workloads that Calxeda is targeting include internet-scale web serving, of course, as well as streaming content delivery (so long as it doesn’t need compute-intensive DRM), small web application hosting, storage controllers, and big data analytics.

“NoSQL and MapReduce are a beautiful fit for these servers because of the ratio of CPU, memory, and disk and the performance per watt,” says Freund. ®

This story originally appeared in The Register.

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