This Week in HPC News

By Nicole Hemsoth

February 20, 2014

Despite the shortened week here in the U.S. with the President’s Day holiday, there was plenty of news fed by the wellspring bubbling around the new Intel Xeon E7 v2 processors. This generation is split into various optimized segments targeting everything from high performance computing (full details here) and large-scale analytics via a keen focus on memory, core count and efficiency options (and prices that fluctuate accordingly).

The robust memory and 15-cores are being touted as ideal for demanding enterprise environments with “big data” capabilities are being targeted at the enterprise while the 8-socket, 10-core HPC variant packs a price-performance punch, coming in at $3838. As Intel’s Joe Curley told us in the wake of the announcement, “You end up with 120 cores in a node, 12 terabytes of memory maximum, you can fit a lot of density and compute there and there are HPC and many other workloads that this will be ideal for.”

XeonMainImageAs expected, a number of vendors jumped out front to announce their support for the new processors, including Silicon Mechanics, Supermicro, HP (with a new variant of the ProLiant series) as well as others who will formally release their new E7-equipped servers in the coming weeks.

Here on the HPCwire front, we’ve had something of an exascale-themed week on the podcast. We spoke at length with Dr. Jack Dongarra on Wednesday about the software and application challenges ahead for exascale-class computing. We also checked in on Thursday with Dr. Bill Tang from Princeton University about the G8 funded International Exascale Program. Both of these are certainly worth a listen as several themes in both intersect.

For those interested in forward-looking HPC technologies, stay tuned as tomorrow (Friday) we’ll feature an extended podcast with Dr. Larry Smarr…touching on everything from brain-inspired and quantum computing to software and application construction for new computing models. This comes in the wake of his most recent award, the Golden Goose…interesting, indeed.

GPUs and the Xeon Phi coprocessor were at the heart of two other conversations we had during this week’s daily Soundbite episodes. We followed up on a popular article from last week about the use of GPU computing to tackle massive human settlement mapping and also talked with two scientists working on acceleration/coprocessing approaches to solving tough physics problems at CERN. More details about their considerations of GPUs and Xeon Phi coprocessors can be found in this more comprehensive overview of their challenges.

More Top News from the Week…

DoD_modernizationThe Department of Defense (DoD) High Performance Computing Modernization Program (HPCMP) has just completed its fiscal year 2013 investment in supercomputing capability supporting the DOD science, engineering, test and acquisition communities.

The total acquisition is valued at $50 million, including acquisition of multiple supercomputing systems and hardware, as well as software maintenance services. At nearly three petaFLOPS of computing capability, the acquisition constitutes a more than 50 percent increase in the DOD HPCMP’s current peak computing capability.

ScaleMPScaleMP and Boston Limited announced a partnership this week. The Boston xScaler-vSMP products deliver up to 8.5 TB RAM – the largest memory footprint for an AMD Opteron computing solution.

The xScaler-vSMP starts with 2 Terabytes (TB) of memory coupled with AMD Opteron Model 6386 SE CPUs at an affordable price, starting at $60,000. Incremental memory options of 2TB are available as additional add-ons. The companies noted this week that the xScaler-vSMP is ideal for high performance computing environments with high speed memory requirements, especially those in the life sciences and in-memory analytics camps.

And For High Frequency Trading Gurus – Lucera Financial Infrastructures announced the availability of its high-performance infrastructure to power electronic trading by financial institutions and high-frequency trading (HFT) firms. The ground-breaking Lucera platform enables customers to accelerate time-to-market, high speed connections to marketplaces and exchanges, and reduce operational and regulatory risk while eliminating the capital expense of building and operating a real-time network of customer and exchange connectivity.

“High frequency trading firms, exchanges, banks and hedge funds can reap huge savings and achieve significant improvements in performance by operating their infrastructure on Lucera,” said Jacob Loveless, CEO of Lucera. “Our customers are able to reach new levels of performance by freeing themselves from the time and capital constraints of internal legacy infrastructure.  By using Lucera, clients will be able to connect to more customers and liquidity destinations with much better performance at significantly lower cost.”

For those interested, there’s an excellent, detailed writeup on the full scope of Lucera’s HFT effort over at EnterpriseTech.

On the Horizon

Just a few items worth mentioning for those who make the event circuit.

XSEDE14 Deadlines Approaching

BigSystem 2014 Issues Call for Papers

ScilabTEC 2014 Registration Now Open

Oh, And Hey…

StatsFor those of you who are in HPC outside of the academic and research spectrum, there are a few things we’d like to ask you. Keep in mind that personal and company information is withheld for your security and privacy (as well as that of your organization) but we are curious to see where the emerging technologies we’re writing about so often land on your list of R&D and practical to-do lists.

If you could, please take a gander at our 2014 Risks and Rewards survey, particularly if you and your organization are at the bleeding edge of change. From GPU and coprocessor use and beyond, your results will help us deliver a free, open document that lets you see where your peers are placing their bets for 2014 and beyond.

Here’s a link to the survey… http://survey.gabrielconsultinggroup.com/limesurvey/index.php?sid=82547&lang=en

Thanks for considering—and for your time on this. We can’t wait to share what we’ve learned…but we need your input. 

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industy updates delivered to you every week!

Geospatial Data Research Leverages GPUs

August 17, 2017

MapD Technologies, the GPU-accelerated database specialist, said it is working with university researchers on leveraging graphics processors to advance geospatial analytics. The San Francisco-based company is collabor Read more…

By George Leopold

Intel, NERSC and University Partners Launch New Big Data Center

August 17, 2017

A collaboration between the Department of Energy’s National Energy Research Scientific Computing Center (NERSC), Intel and five Intel Parallel Computing Centers (IPCCs) has resulted in a new Big Data Center (BDC) that Read more…

By Linda Barney

Google Releases Deeplearn.js to Further Democratize Machine Learning

August 17, 2017

Spreading the use of machine learning tools is one of the goals of Google’s PAIR (People + AI Research) initiative, which was introduced in early July. Last week the cloud giant released deeplearn.js as part of that in Read more…

By John Russell

HPE Extreme Performance Solutions

Leveraging Deep Learning for Fraud Detection

Advancements in computing technologies and the expanding use of e-commerce platforms have dramatically increased the risk of fraud for financial services companies and their customers. Read more…

Spoiler Alert: Glimpse Next Week’s Solar Eclipse Via Simulation from TACC, SDSC, and NASA

August 17, 2017

Can’t wait to see next week’s solar eclipse? You can at least catch glimpses of what scientists expect it will look like. A team from Predictive Science Inc. (PSI), based in San Diego, working with Stampede2 at the Read more…

By John Russell

Microsoft Bolsters Azure With Cloud HPC Deal

August 15, 2017

Microsoft has acquired cloud computing software vendor Cycle Computing in a move designed to bring orchestration tools along with high-end computing access capabilities to the cloud. Terms of the acquisition were not disclosed. Read more…

By George Leopold

HPE Ships Supercomputer to Space Station, Final Destination Mars

August 14, 2017

With a manned mission to Mars on the horizon, the demand for space-based supercomputing is at hand. Today HPE and NASA sent the first off-the-shelf HPC system i Read more…

By Tiffany Trader

AMD EPYC Video Takes Aim at Intel’s Broadwell

August 14, 2017

Let the benchmarking begin. Last week, AMD posted a YouTube video in which one of its EPYC-based systems outperformed a ‘comparable’ Intel Broadwell-based s Read more…

By John Russell

Deep Learning Thrives in Cancer Moonshot

August 8, 2017

The U.S. War on Cancer, certainly a worthy cause, is a collection of programs stretching back more than 40 years and abiding under many banners. The latest is t Read more…

By John Russell

IBM Raises the Bar for Distributed Deep Learning

August 8, 2017

IBM is announcing today an enhancement to its PowerAI software platform aimed at facilitating the practical scaling of AI models on today’s fastest GPUs. Scal Read more…

By Tiffany Trader

IBM Storage Breakthrough Paves Way for 330TB Tape Cartridges

August 3, 2017

IBM announced yesterday a new record for magnetic tape storage that it says will keep tape storage density on a Moore's law-like path far into the next decade. Read more…

By Tiffany Trader

AMD Stuffs a Petaflops of Machine Intelligence into 20-Node Rack

August 1, 2017

With its Radeon “Vega” Instinct datacenter GPUs and EPYC “Naples” server chips entering the market this summer, AMD has positioned itself for a two-head Read more…

By Tiffany Trader

Cray Moves to Acquire the Seagate ClusterStor Line

July 28, 2017

This week Cray announced that it is picking up Seagate's ClusterStor HPC storage array business for an undisclosed sum. "In short we're effectively transitioning the bulk of the ClusterStor product line to Cray," said CEO Peter Ungaro. Read more…

By Tiffany Trader

How ‘Knights Mill’ Gets Its Deep Learning Flops

June 22, 2017

Intel, the subject of much speculation regarding the delayed, rewritten or potentially canceled “Aurora” contract (the Argonne Lab part of the CORAL “ Read more…

By Tiffany Trader

Nvidia’s Mammoth Volta GPU Aims High for AI, HPC

May 10, 2017

At Nvidia's GPU Technology Conference (GTC17) in San Jose, Calif., this morning, CEO Jensen Huang announced the company's much-anticipated Volta architecture a Read more…

By Tiffany Trader

Reinders: “AVX-512 May Be a Hidden Gem” in Intel Xeon Scalable Processors

June 29, 2017

Imagine if we could use vector processing on something other than just floating point problems.  Today, GPUs and CPUs work tirelessly to accelerate algorithms Read more…

By James Reinders

Quantum Bits: D-Wave and VW; Google Quantum Lab; IBM Expands Access

March 21, 2017

For a technology that’s usually characterized as far off and in a distant galaxy, quantum computing has been steadily picking up steam. Just how close real-wo Read more…

By John Russell

Russian Researchers Claim First Quantum-Safe Blockchain

May 25, 2017

The Russian Quantum Center today announced it has overcome the threat of quantum cryptography by creating the first quantum-safe blockchain, securing cryptocurrencies like Bitcoin, along with classified government communications and other sensitive digital transfers. Read more…

By Doug Black

Nvidia Responds to Google TPU Benchmarking

April 10, 2017

Nvidia highlights strengths of its newest GPU silicon in response to Google's report on the performance and energy advantages of its custom tensor processor. Read more…

By Tiffany Trader

Groq This: New AI Chips to Give GPUs a Run for Deep Learning Money

April 24, 2017

CPUs and GPUs, move over. Thanks to recent revelations surrounding Google’s new Tensor Processing Unit (TPU), the computing world appears to be on the cusp of Read more…

By Alex Woodie

HPC Compiler Company PathScale Seeks Life Raft

March 23, 2017

HPCwire has learned that HPC compiler company PathScale has fallen on difficult times and is asking the community for help or actively seeking a buyer for its a Read more…

By Tiffany Trader

Leading Solution Providers

Trump Budget Targets NIH, DOE, and EPA; No Mention of NSF

March 16, 2017

President Trump’s proposed U.S. fiscal 2018 budget issued today sharply cuts science spending while bolstering military spending as he promised during the cam Read more…

By John Russell

CPU-based Visualization Positions for Exascale Supercomputing

March 16, 2017

In this contributed perspective piece, Intel’s Jim Jeffers makes the case that CPU-based visualization is now widely adopted and as such is no longer a contrarian view, but is rather an exascale requirement. Read more…

By Jim Jeffers, Principal Engineer and Engineering Leader, Intel

Google Debuts TPU v2 and will Add to Google Cloud

May 25, 2017

Not long after stirring attention in the deep learning/AI community by revealing the details of its Tensor Processing Unit (TPU), Google last week announced the Read more…

By John Russell

Six Exascale PathForward Vendors Selected; DoE Providing $258M

June 15, 2017

The much-anticipated PathForward awards for hardware R&D in support of the Exascale Computing Project were announced today with six vendors selected – AMD Read more…

By John Russell

Top500 Results: Latest List Trends and What’s in Store

June 19, 2017

Greetings from Frankfurt and the 2017 International Supercomputing Conference where the latest Top500 list has just been revealed. Although there were no major Read more…

By Tiffany Trader

IBM Clears Path to 5nm with Silicon Nanosheets

June 5, 2017

Two years since announcing the industry’s first 7nm node test chip, IBM and its research alliance partners GlobalFoundries and Samsung have developed a proces Read more…

By Tiffany Trader

Messina Update: The US Path to Exascale in 16 Slides

April 26, 2017

Paul Messina, director of the U.S. Exascale Computing Project, provided a wide-ranging review of ECP’s evolving plans last week at the HPC User Forum. Read more…

By John Russell

Graphcore Readies Launch of 16nm Colossus-IPU Chip

July 20, 2017

A second $30 million funding round for U.K. AI chip developer Graphcore sets up the company to go to market with its “intelligent processing unit” (IPU) in Read more…

By Tiffany Trader

  • arrow
  • Click Here for More Headlines
  • arrow
Share This