HPCwire Job Bank
HPCwire

Since 1986 - Covering the Fastest Computers
in the World and the People Who Run Them

Language Flags

Visit additional Tabor Communication Publications

Datanami
Digital Manufacturing Report
HPC in the Cloud

The Big Squeeze: Getting More Power From a Tighter Package


When designing a high performance computing installation, two questions come to mind: How much processing power will I get and how big of a footprint will it take to achieve that power. One component that can vastly change the outcome of those two questions is the type of processor used for the install and how many cores can be placed on that processor.

Just earlier this month, Virginia Tech unveiled their newest supercomputer dubbed “HokieSpeed,” a 209-node installation that ranked number 96 on the latest TOP500 list. The most interesting detail about HokieSpeed is that it is 22 times faster and 75 percent smaller than VT’s previous low-power supercomputer, known as “System X.”

VT was able to achieve these advances in power and footprint through sheer processing density, using two six-core Xeon processors along with a 2,448-core Tesla GPU in each node. That comes out to a total of 2,508 CPU and 187,264 GPU cores, compared to System X’s 2,200 PowerPC cores. Something else HokieSpeed can be proud of: it landed number 11 on the most recent Green500 list

It seems that the case for future evolution in processing power must incorporate core density. Right now, companies like Tilera and Kalray are working on vastly improving the current processor core count. Tilera calls its new processor family the “TILE-Gx,” with processors ranging anywhere from 16 to 100 cores, which interconnect using a high performance on-chip network.

According to Tilera, each core (tile) is a fully-featured, cache-coherent processor that can run an OS. Still keeping the focus on reduced footprint, the TILE-Gx integrates a set of memory and I/O controllers, reducing the need for North and South bridges, which in turn reduces system board size requirements.

Kalray’s new processor, the Multi-Purpose Processor Array (MPPA), is initially aimed at the embedded computing space. It uses 16-core clusters that are also interconnected through an on-chip network. This family of processors have as few as 16, and as many as 64, built-in 16-core clusters. According to Kalray, the top-of-the-line 1,024-core processor can deliver more than two teraops of performance.

Processor memory amounts to 16 MB per 256 core offering.  Finally these processors also integrate two DDR3 memory controllers, two 40Gb/s Ethernet controllers, two 8x PCIe Gen 3 interfaces, GPIO and four 4 to 8 lane Interlaken interfaces used for multi-MPAA chip integration.

In the future, with this amount of core density, a supercomputer with dual-processor nodes, like the HokieSpeed, could potentially have up to 428,032 CPU cores, for the same footprint that was one quarter the size of System X.

HPCwire on Twitter

Discussion

There are 0 discussion items posted.

Join the Discussion

Join the Discussion

Become a Registered User Today!


Registered Users Log in join the Discussion

May 23, 2012

May 22, 2012

May 21, 2012

May 18, 2012

May 17, 2012

May 16, 2012

May 15, 2012

May 14, 2012

May 11, 2012

May 10, 2012


Most Read Features

Most Read Around the Web

Most Read This Just In

Appro Nvidia Tesla Next Generation Xtreme-X Supercomputer

Feature Articles

NVIDIA Works On CPU Co-Dependency Issues with Kepler GPU

NVIDIA is telling everyone that the GK110, its new Kepler GPU aimed at supercomputing, is all about improving performance per watt. But the other driving theme behind the new architecture is reducing the GPU's reliance on its CPU host. How well it accomplishes both these goals areas could determine the success of the new chip in high performance computing.
Read more...

OpenACC Starts to Gather Developer Mindshare

PGI, Cray, and CAPS enterprise are moving quickly to get their new OpenACC-supported compilers into the hands of GPGPU developers. At NVIDIA's GPU Technology Conference this week, there was plenty of discussion around the new HPC accelerator framework, and all three OpenACC compiler makers, as well as NVIDIA, were talking up the technology.
Read more...

NVIDIA Launches Kepler Into HPC

NVIDIA has introduced its first Kepler-generation GPU product for high performance computing, and revealed some of the inner working of the new architecture. The announcement took place at the kickoff of the company's GPU Technology Conference taking place this week in San Jose, California.
Read more...

Sponsored Whitepapers

Sponsored Multimedia

ISC Think Tank 2012

Newsletters



HPC Job Bank


Featured Events







HPC Wire Events