The Week in Review

By Tiffany Trader

April 8, 2010

Here is a collection of highlights from this week’s news stream as reported by HPCwire.

Supermicro Delivers Platinum Level Servers

Tokyo Institute of Technology Selected as Japan’s First CUDA Center of Excellence

Criterion HPS Unveils the Phantom Extreme Featuring Intel Xeon 5600 Processors

Woodward Taps IBM High Performance Cloud Services to Simulate Aircraft Component Design

GridCentric Announces Copper Cluster Management Software

NVIDIA Quadro GPUs Are Certified for AutoCAD

NCAR Orders Cray XT5 Supercomputer

RenderStream Announces Its VDAC 8-16 GPU Systems

Fixstars Releases ‘The OpenCL Programming Book’

Lomonosov Supercomputer Tops New Russian List of Most Powerful HPC Systems

AccelerEyes Upgrades Jacket Software for GPU Computing

New Computer Cluster Ups the Ante for Notre Dame Research

Xilinx Helps University of Regensburg Launch Most Power-Efficient Supercomputer

Pittsburgh Supercomputing Center Accelerates Scientific Research with SGI Altix UV

Software Design Technique Allows Programs to Run Faster

New AMAX Solutions Powered by NVIDIA Tesla 20-Series GPU

National Petascale Computing Facility Reaches Substantial Completion

Netezza TwinFin Appliance Used for Data-Intensive Computing Applications at PNNL

Memristor Technology Holds Intriguing Promise

HP Labs this week announced advances in memristor technology that could fundamentally change the design of computing. Memristors could be the key that enables computers to handle the ongoing information explosion, where data from a slew of devices, both explicit and embedded, threatens to overwhelm our current computing limits.

So what is a memristor? According to the HP Labs announcement, it’s “a resistor with memory that represents the fourth basic circuit.”

If you’re familiar with electronics, you will recognize the language. The trinity of fundamental components encompasses the resistor, the capacitor, and the inductor. In 1971, a University of California, Berkeley engineer, Leon Chua, predicted that there should be a fourth element: a memory resistor, or memristor. However, when memristors were first theorized 40 years ago, they were too big to be practical.

It was not until two years ago, in 2008, that researchers from HP Labs rediscovered Chu’s earlier work. With the reduction of transistor sizes, even more capabilities of the memristor were realized due to the way properties behave at nanoscale.

What makes the memristor different from other circuits is that when the voltage is turned off, it remembers its most recent resistance, and it retains this memory indefinitely until the voltage is turned on again. It would take many more paragraphs for a full explanation, but if you are interested, I suggest this easy-to-understand primer at IEEE Spectrum Web site.

One of the advantages of memristors is that they require less energy to operate, and are already being considered as a replacement to transistor-based flash memory.

Researchers predict that in five years, such chips, when stacked together, could be used to create handheld devices that offer ten times greater embedded memory than exists today, and could also be used to power supercomputers for digital rendering and genomic research applications at far greater speeds than Moore’s Law suggests is possible.

Memristors work more like human brains. In fact, Leon Chua explained that our “brains are made of memristors,” referring to the function of biological synapses.

And according to R. Stanley Williams, senior fellow and director of Information and Quantum Systems Lab at HP:

Memristive devices could change the standard paradigm of computing by enabling calculations to be performed in the chips where data is stored rather than in a specialized central processing unit. Thus, we anticipate the ability to make more compact and power-efficient computing systems well into the future, even after it is no longer possible to make transistors smaller via the traditional Moore’s Law approach.

The promises this technology offers sound almost to good to be true. If even half of what is promised holds true, than this will go down in history as one of the great breakthroughs in computer technology.

48-Core Intel Processor for Educational Purposes Only

Intel announced plans to ship “limited quantities” of computers with an experimental 48-core processor to researchers by the middle of the year. The 48-core processors will be shipped mainly to academic institutions, an Intel rep said during an event in New York on Wednesday. And while the chip will probably not become commercially available, certain features may make their way into future products.

PCWorld reported:

The 48-core chip operates at about the clock speed of Atom-based chips, said Christopher Anderson, an engineer with Intel Labs. Intel’s latest Atom chips are power-efficient, are targeted at netbooks and small desktops, and run at clock speeds between 1.66GHz and 1.83GHz. The 48-core processor, built on a mesh architecture, could lead to a massive performance boost when all the chips communicate with each other, Anderson said.

The new processor reportedly has a power draw between 25-125 watts, and cores can be powered off to save energy or reduce clock speed. The chip touts better on-die power management capabilities than current multicore chips and comes with power-management software to help lower energy consumption depending on performance requirements.

During the Wednesday event, researchers demonstrated the processor’s advanced power management features. While running a financial application, sets of cores were deactivated and the power consumption went from 74 watts to 25 watts in under a second.

The new 48-core chip is based on the 80-core Teraflop prototype created in 2007 by Intel’s Tera-scale Computing Research Program. And that chip is a runner-up to the 48-core “Single-chip Cloud Computer” announced in December 2009, also a product of the Tera-scale Computing Research Program.

Those processors, however, were only prototypes and were never released into the wild. However, the 48-core chips announced this week are almost ready to leave the research nest, and will be released if not into the fierce corporate jungles at least into the relatively tamer academic habitat.

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!

Advancing Modular Supercomputing with DEEP and DEEP-ER Architectures

February 24, 2017

Knowing that the jump to exascale will require novel architectural approaches capable of delivering dramatic efficiency and performance gains, researchers around the world are hard at work on next-generation HPC systems. Read more…

By Sean Thielen

Weekly Twitter Roundup (Feb. 23, 2017)

February 23, 2017

Here at HPCwire, we aim to keep the HPC community apprised of the most relevant and interesting news items that get tweeted throughout the week. Read more…

By Thomas Ayres

HPE Server Shows Low Latency on STAC-N1 Test

February 22, 2017

The performance of trade and match servers can be a critical differentiator for financial trading houses. Read more…

By John Russell

HPC Financial Update (Feb. 2017)

February 22, 2017

In this recurring feature, we’ll provide you with financial highlights from companies in the HPC industry. Check back in regularly for an updated list with the most pertinent fiscal information. Read more…

By Thomas Ayres

HPE Extreme Performance Solutions

O&G Companies Create Value with High Performance Remote Visualization

Today’s oil and gas (O&G) companies are striving to process datasets that have become not only tremendously large, but extremely complex. And the larger that data becomes, the harder it is to move and analyze it – particularly with a workforce that could be distributed between drilling sites, offshore rigs, and remote offices. Read more…

Rethinking HPC Platforms for ‘Second Gen’ Applications

February 22, 2017

Just what constitutes HPC and how best to support it is a keen topic currently. Read more…

By John Russell

HPC Technique Propels Deep Learning at Scale

February 21, 2017

Researchers from Baidu’s Silicon Valley AI Lab (SVAIL) have adapted a well-known HPC communication technique to boost the speed and scale of their neural network training and now they are sharing their implementation with the larger deep learning community. Read more…

By Tiffany Trader

IDC: Will the Real Exascale Race Please Stand Up?

February 21, 2017

So the exascale race is on. And lots of organizations are in the pack. Government announcements from the US, China, India, Japan, and the EU indicate that they are working hard to make it happen – some sooner, some later. Read more…

By Bob Sorensen, IDC

ExxonMobil, NCSA, Cray Scale Reservoir Simulation to 700,000+ Processors

February 17, 2017

In a scaling breakthrough for oil and gas discovery, ExxonMobil geoscientists report they have harnessed the power of 717,000 processors – the equivalent of 22,000 32-processor computers – to run complex oil and gas reservoir simulation models. Read more…

By Doug Black

Advancing Modular Supercomputing with DEEP and DEEP-ER Architectures

February 24, 2017

Knowing that the jump to exascale will require novel architectural approaches capable of delivering dramatic efficiency and performance gains, researchers around the world are hard at work on next-generation HPC systems. Read more…

By Sean Thielen

HPC Technique Propels Deep Learning at Scale

February 21, 2017

Researchers from Baidu’s Silicon Valley AI Lab (SVAIL) have adapted a well-known HPC communication technique to boost the speed and scale of their neural network training and now they are sharing their implementation with the larger deep learning community. Read more…

By Tiffany Trader

IDC: Will the Real Exascale Race Please Stand Up?

February 21, 2017

So the exascale race is on. And lots of organizations are in the pack. Government announcements from the US, China, India, Japan, and the EU indicate that they are working hard to make it happen – some sooner, some later. Read more…

By Bob Sorensen, IDC

TSUBAME3.0 Points to Future HPE Pascal-NVLink-OPA Server

February 17, 2017

Since our initial coverage of the TSUBAME3.0 supercomputer yesterday, more details have come to light on this innovative project. Of particular interest is a new board design for NVLink-equipped Pascal P100 GPUs that will create another entrant to the space currently occupied by Nvidia's DGX-1 system, IBM's "Minsky" platform and the Supermicro SuperServer (1028GQ-TXR). Read more…

By Tiffany Trader

Tokyo Tech’s TSUBAME3.0 Will Be First HPE-SGI Super

February 16, 2017

In a press event Friday afternoon local time in Japan, Tokyo Institute of Technology (Tokyo Tech) announced its plans for the TSUBAME3.0 supercomputer, which will be Japan’s “fastest AI supercomputer,” Read more…

By Tiffany Trader

Drug Developers Use Google Cloud HPC in the Fight Against ALS

February 16, 2017

Within the haystack of a lethal disease such as ALS (amyotrophic lateral sclerosis / Lou Gehrig’s Disease) there exists, somewhere, the needle that will pierce this therapy-resistant affliction. Read more…

By Doug Black

Azure Edges AWS in Linpack Benchmark Study

February 15, 2017

The “when will clouds be ready for HPC” question has ebbed and flowed for years. Read more…

By John Russell

Is Liquid Cooling Ready to Go Mainstream?

February 13, 2017

Lost in the frenzy of SC16 was a substantial rise in the number of vendors showing server oriented liquid cooling technologies. Three decades ago liquid cooling was pretty much the exclusive realm of the Cray-2 and IBM mainframe class products. That’s changing. We are now seeing an emergence of x86 class server products with exotic plumbing technology ranging from Direct-to-Chip to servers and storage completely immersed in a dielectric fluid. Read more…

By Steve Campbell

For IBM/OpenPOWER: Success in 2017 = (Volume) Sales

January 11, 2017

To a large degree IBM and the OpenPOWER Foundation have done what they said they would – assembling a substantial and growing ecosystem and bringing Power-based products to market, all in about three years. Read more…

By John Russell

US, China Vie for Supercomputing Supremacy

November 14, 2016

The 48th edition of the TOP500 list is fresh off the presses and while there is no new number one system, as previously teased by China, there are a number of notable entrants from the US and around the world and significant trends to report on. Read more…

By Tiffany Trader

Lighting up Aurora: Behind the Scenes at the Creation of the DOE’s Upcoming 200 Petaflops Supercomputer

December 1, 2016

In April 2015, U.S. Department of Energy Undersecretary Franklin Orr announced that Intel would be the prime contractor for Aurora: Read more…

By Jan Rowell

D-Wave SC16 Update: What’s Bo Ewald Saying These Days

November 18, 2016

Tucked in a back section of the SC16 exhibit hall, quantum computing pioneer D-Wave has been talking up its new 2000-qubit processor announced in September. Forget for a moment the criticism sometimes aimed at D-Wave. This small Canadian company has sold several machines including, for example, ones to Lockheed and NASA, and has worked with Google on mapping machine learning problems to quantum computing. In July Los Alamos National Laboratory took possession of a 1000-quibit D-Wave 2X system that LANL ordered a year ago around the time of SC15. Read more…

By John Russell

Enlisting Deep Learning in the War on Cancer

December 7, 2016

Sometime in Q2 2017 the first ‘results’ of the Joint Design of Advanced Computing Solutions for Cancer (JDACS4C) will become publicly available according to Rick Stevens. He leads one of three JDACS4C pilot projects pressing deep learning (DL) into service in the War on Cancer. Read more…

By John Russell

IBM Wants to be “Red Hat” of Deep Learning

January 26, 2017

IBM today announced the addition of TensorFlow and Chainer deep learning frameworks to its PowerAI suite of deep learning tools, which already includes popular offerings such as Caffe, Theano, and Torch. Read more…

By John Russell

HPC Startup Advances Auto-Parallelization’s Promise

January 23, 2017

The shift from single core to multicore hardware has made finding parallelism in codes more important than ever, but that hasn’t made the task of parallel programming any easier. Read more…

By Tiffany Trader

Tokyo Tech’s TSUBAME3.0 Will Be First HPE-SGI Super

February 16, 2017

In a press event Friday afternoon local time in Japan, Tokyo Institute of Technology (Tokyo Tech) announced its plans for the TSUBAME3.0 supercomputer, which will be Japan’s “fastest AI supercomputer,” Read more…

By Tiffany Trader

Leading Solution Providers

CPU Benchmarking: Haswell Versus POWER8

June 2, 2015

With OpenPOWER activity ramping up and IBM’s prominent role in the upcoming DOE machines Summit and Sierra, it’s a good time to look at how the IBM POWER CPU stacks up against the x86 Xeon Haswell CPU from Intel. Read more…

By Tiffany Trader

Nvidia Sees Bright Future for AI Supercomputing

November 23, 2016

Graphics chipmaker Nvidia made a strong showing at SC16 in Salt Lake City last week. Read more…

By Tiffany Trader

BioTeam’s Berman Charts 2017 HPC Trends in Life Sciences

January 4, 2017

Twenty years ago high performance computing was nearly absent from life sciences. Today it’s used throughout life sciences and biomedical research. Genomics and the data deluge from modern lab instruments are the main drivers, but so is the longer-term desire to perform predictive simulation in support of Precision Medicine (PM). There’s even a specialized life sciences supercomputer, ‘Anton’ from D.E. Shaw Research, and the Pittsburgh Supercomputing Center is standing up its second Anton 2 and actively soliciting project proposals. There’s a lot going on. Read more…

By John Russell

TSUBAME3.0 Points to Future HPE Pascal-NVLink-OPA Server

February 17, 2017

Since our initial coverage of the TSUBAME3.0 supercomputer yesterday, more details have come to light on this innovative project. Of particular interest is a new board design for NVLink-equipped Pascal P100 GPUs that will create another entrant to the space currently occupied by Nvidia's DGX-1 system, IBM's "Minsky" platform and the Supermicro SuperServer (1028GQ-TXR). Read more…

By Tiffany Trader

IDG to Be Bought by Chinese Investors; IDC to Spin Out HPC Group

January 19, 2017

US-based publishing and investment firm International Data Group, Inc. (IDG) will be acquired by a pair of Chinese investors, China Oceanwide Holdings Group Co., Ltd. Read more…

By Tiffany Trader

Dell Knights Landing Machine Sets New STAC Records

November 2, 2016

The Securities Technology Analysis Center, commonly known as STAC, has released a new report characterizing the performance of the Knight Landing-based Dell PowerEdge C6320p server on the STAC-A2 benchmarking suite, widely used by the financial services industry to test and evaluate computing platforms. The Dell machine has set new records for both the baseline Greeks benchmark and the large Greeks benchmark. Read more…

By Tiffany Trader

Is Liquid Cooling Ready to Go Mainstream?

February 13, 2017

Lost in the frenzy of SC16 was a substantial rise in the number of vendors showing server oriented liquid cooling technologies. Three decades ago liquid cooling was pretty much the exclusive realm of the Cray-2 and IBM mainframe class products. That’s changing. We are now seeing an emergence of x86 class server products with exotic plumbing technology ranging from Direct-to-Chip to servers and storage completely immersed in a dielectric fluid. Read more…

By Steve Campbell

What Knights Landing Is Not

June 18, 2016

As we get ready to launch the newest member of the Intel Xeon Phi family, code named Knights Landing, it is natural that there be some questions and potentially some confusion. Read more…

By James Reinders, Intel

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