The Week in Review

By Tiffany Trader

October 21, 2010

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

UC Santa Barbara-Led Team Developing Next-Generation Ethernet

Sony Equips PCs with World Community Grid Software

Allinea Software Signs Further Collaboration Agreement with CEA

Netlist Demonstrates 100 VMs on a Single Standard Server Using HyperCloud Memory at Interop

IBM Reports 12 Percent Increase in Net Income for Q3

Voltaire Grows adVantage Partner Program to More Than 50 Members

Fusion-io Creates New Technology Alliance Program to Drive Innovation Through Collaboration

HyperWorks Partner Alliance Adds RAMSIS by Human Solutions

Coalition of High Performance Computing Leaders Form Community-Based Open-Source File System Alliance

SDSC Celebrates Its 25th Year

Supermicro Showcases HPC Servers at SEG 2010

AMAX Introduces Petabyte-Scale NAS Clustered Storage Solutions for Oil and Gas Exploration

Rocky Mountain Supercomputing Centers Introduces M.O.R.E. POWER Service

CANARIE, Ciena Demo 100G Network

Mellanox InfiniBand Switch Systems Selected by IBM

Philip E. Bourne Wins Microsoft’s 2010 Jim Gray eScience Award

XtreemOS Consortium Announces Public Access to Open Test Bed

NSF Grant to Study National Energy Policy and Technology Impacts

New Algorithm Reduces Linear Equation Runtimes

Computer scientists at Carnegie Mellon University have developed a ground-breaking algorithm that can solve systems of linear equations used in important applications, including image processing, logistics and scheduling problems, and recommendation systems. The new algorithm is incredibly efficient and may make it possible for a desktop workstation to solve systems with a billion variables in just a few seconds.

Linear systems are used to model real-world systems, such as transportation, energy, telecommunications and manufacturing, which often include millions, or even billions, of variables. Solving such complex systems is time-consuming on even the fastest systems and has confounded computer scientists and stymied research goals for a long long time. In fact, solving simultaneous equations quickly and accurately is truly an age old mathematical problem. One of the classic algorithms for solving linear systems, which is today dubbed Gaussian elimination, was first published by Chinese mathematicians 2,000 years ago.

Researchers from Carnegie Mellon’s Computer Science Department have experienced a breakthrough, one that has great practical potential. The algorithm that they’ve devised relies on new tools from graph theory, randomized algorithms and linear algebra to greatly speed the time to completion for these linear system problems, with runtimes up to a billion times faster than with Gaussian elimination.

The algorithm applies to a class of problems known as symmetric diagonally dominant (SDD) systems, which have gained prominence in recent years. Recommendation systems, like that used by Netflix, use SSD to compare the preferences of an individual to those of millions of other customers. Image processing, logistics, and engineering are other key uses cases for SSD.

The press release highlights the importance of this achievement:

“The new linear system solver of Koutis, Miller and Peng is wonderful both for its speed and its simplicity,” said Spielman, a professor of applied mathematics and computer science at Yale. “There is no other algorithm that runs at even close to this speed. In fact, it’s impossible to design an algorithm that will be too much faster.”

The work will be presented at the annual IEEE Symposium on Foundations of Computer Science (FOCS 2010), Oct. 23-36 in Las Vegas, and the group’s research paper, “Approaching Optimality for Solving SDD Linear Systems,” can be downloaded at http://www.cs.cmu.edu/~glmiller/Publications/Papers/KoutisApproaching-2010.pdf.

University of Queensland Deploys SGI Supercomputer

This week the University of Queensland increased its technical computing prowess with a high performance computing (HPC) solution from SGI. The SGI Rackable half-depth servers will be used to support a broad range of research from the fields of bioinformatics, computational chemistry, finite element analysis, computational fluid dynamics, earth sciences, market economics and image processing.

According to Professor Max Lu, deputy vice-chancellor or research at the University of Queensland, “These computers will strengthen an important part of the University’s research capacity. Tasks such as processing enormous amounts of biological data generated through techniques such as genome-sequencing, micro-arrays and imaging cannot be done on standard desktop computers.”

This will be one of the biggest deployments in Australia. The new SGI system boasts 3,144 processor cores, specifically Intel Xeon 5500 and 7500 series processors, with 11.52 TB memory and 249 TB of disk storage. Other specifications include InfiniBand QDR interconnect with Voltaire Grid Director 4700 switches and Unified Fabric Manager switching technology, and a Panasas file system. DC-based racks and innovative cooling techniques were selected for their energy-efficiency. The design offers flexible configurations to suit the university’s current and future requirements. The university opted for SGI Professional Services to provide project management, installation services, datacenter services, training, as well as ongoing consultation and maintenance.

The new machine will be put to work handling the complex research and data needs of universities in Queensland and partner organizations, such as the Queensland Cyber Infrastructure Foundation (QCIF), Commonwealth Scientific and Industrial Research Organisation (CSIRO) and Bioplatforms Australia. Additionally, the infrastructure will be hosting several projects, including the National Computational Infrastructure (NCI) Specialised Facility in Bioinformatics and the European Molecular Biology Laboratory (EMBL) Australia, European Bioinformatics Institute (EBI) Mirror project.

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!

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 2017 with scale-up production for enterprise datacenters and Read more…

By Tiffany Trader

Fine-Tuning Severe Hail Forecasting with Machine Learning

July 20, 2017

Depending on whether you’ve been caught outside during a severe hail storm, the sight of greenish tinted clouds on the horizon may cause serious knots in the pit of your stomach, or at least give you pause. There’s g Read more…

By Sean Thielen

Trinity Supercomputer’s Haswell and KNL Partitions Are Merged

July 19, 2017

Trinity supercomputer’s two partitions – one based on Intel Xeon Haswell processors and the other on Xeon Phi Knights Landing – have been fully integrated are now available for use on classified work in the Nationa Read more…

By HPCwire Staff

Fujitsu Continues HPC, AI Push

July 19, 2017

Summer is well under way, but the so-called summertime slowdown, linked with hot temperatures and longer vacations, does not seem to have impacted Fujitsu's output. The Japanese multinational has made a raft of HPC and A Read more…

By Tiffany Trader

HPE Extreme Performance Solutions

HPE Servers Deliver High Performance Remote Visualization

Whether generating seismic simulations, locating new productive oil reservoirs, or constructing complex models of the earth’s subsurface, energy, oil, and gas (EO&G) is a highly data-driven industry. Read more…

Researchers Use DNA to Store and Retrieve Digital Movie

July 18, 2017

From abacus to pencil and paper to semiconductor chips, the technology of computing has always been an ever-changing target. The human brain is probably the computer we use most (hopefully) and understand least. This mon Read more…

By John Russell

The Exascale FY18 Budget – The Next Step

July 17, 2017

On July 12, 2017, the U.S. federal budget for its Exascale Computing Initiative (ECI) took its next step forward. On that day, the full Appropriations Committee of the House of Representatives voted to accept the recomme Read more…

By Alex R. Larzelere

Summer Reading: IEEE Spectrum’s Chip Hall of Fame

July 17, 2017

Take a trip down memory lane – the Mostek MK4096 4-kilobit DRAM, for instance. Perhaps processors are more to your liking. Remember the Sh-Boom processor (1988), created by Russell Fish and Chuck Moore, and named after Read more…

By John Russell

Women in HPC Luncheon Shines Light on Female-Friendly Hiring Practices

July 13, 2017

The second annual Women in HPC luncheon was held on June 20, 2017, during the International Supercomputing Conference in Frankfurt, Germany. The luncheon provides participants the opportunity to network with industry lea Read more…

By Tiffany Trader

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

Fine-Tuning Severe Hail Forecasting with Machine Learning

July 20, 2017

Depending on whether you’ve been caught outside during a severe hail storm, the sight of greenish tinted clouds on the horizon may cause serious knots in the Read more…

By Sean Thielen

Fujitsu Continues HPC, AI Push

July 19, 2017

Summer is well under way, but the so-called summertime slowdown, linked with hot temperatures and longer vacations, does not seem to have impacted Fujitsu's out Read more…

By Tiffany Trader

Researchers Use DNA to Store and Retrieve Digital Movie

July 18, 2017

From abacus to pencil and paper to semiconductor chips, the technology of computing has always been an ever-changing target. The human brain is probably the com Read more…

By John Russell

The Exascale FY18 Budget – The Next Step

July 17, 2017

On July 12, 2017, the U.S. federal budget for its Exascale Computing Initiative (ECI) took its next step forward. On that day, the full Appropriations Committee Read more…

By Alex R. Larzelere

Women in HPC Luncheon Shines Light on Female-Friendly Hiring Practices

July 13, 2017

The second annual Women in HPC luncheon was held on June 20, 2017, during the International Supercomputing Conference in Frankfurt, Germany. The luncheon provid Read more…

By Tiffany Trader

Satellite Advances, NSF Computation Power Rapid Mapping of Earth’s Surface

July 13, 2017

New satellite technologies have completely changed the game in mapping and geographical data gathering, reducing costs and placing a new emphasis on time series Read more…

By Ken Chiacchia and Tiffany Jolley

Intel Skylake: Xeon Goes from Chip to Platform

July 13, 2017

With yesterday’s New York unveiling of the new “Skylake” Xeon Scalable processors, Intel made multiple runs at multiple competitive threats and strategic Read more…

By Doug Black

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

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

Google Pulls Back the Covers on Its First Machine Learning Chip

April 6, 2017

This week Google released a report detailing the design and performance characteristics of the Tensor Processing Unit (TPU), its custom ASIC for the inference Read more…

By Tiffany Trader

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

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

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

Facebook Open Sources Caffe2; Nvidia, Intel Rush to Optimize

April 18, 2017

From its F8 developer conference in San Jose, Calif., today, Facebook announced Caffe2, a new open-source, cross-platform framework for deep learning. Caffe2 is the successor to Caffe, the deep learning framework developed by Berkeley AI Research and community contributors. Read more…

By Tiffany Trader

Leading Solution Providers

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

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

MIT Mathematician Spins Up 220,000-Core Google Compute Cluster

April 21, 2017

On Thursday, Google announced that MIT math professor and computational number theorist Andrew V. Sutherland had set a record for the largest Google Compute Engine (GCE) job. Sutherland ran the massive mathematics workload on 220,000 GCE cores using preemptible virtual machine instances. Read more…

By Tiffany Trader

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

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

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

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

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

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