Wednesday, September 02, 2015
Search
  
Submit your own News for
inclusion in our Site.
Click here...
Breaking News
This Is Google's Redesigned Logo
Instagram Gets New Features
Alliance for Open Media To Deliver Open Standard for Online Ultra High Definition Video
Seagate Develops High Density Mobile Hard Drive Technology, New Portfolio of 8TB Hard Drives
Apple To Work With Cisco On Enterprise Environment; said To Prepare Own Original Programming
Qualcomm Snapdragon 820 Processor To Geature Mobile Anti-malware Technology
WD My Cloud OS 3 Makes Cloud Storage More Personal
Samsung's Circular Gear S2 Smartwatches Unveiled
Active Discussions
How to back up a PS2 DL game
Copy a protected DVD?
roxio issues with xp pro
How to burn a backup copy of The Frozen Throne
Help make DVDInfoPro better with dvdinfomantis!!!
Copied dvd's say blank in computer only
menu making
Optiarc AD-7260S review
 Home > News > General Computing > Improvi...
Last 7 Days News : SU MO TU WE TH FR SA All News

Friday, June 21, 2013
Improving Power and Programming Are Key Factors For Advancing To Exascale Computing


Key challenges the industry needs to overcome in order to reach exascale computing by the end of this decade are power and programming, according to Nvidia.

Theoretically, an exascale system - 100 times more computing capability than today's fastest systems - could be built with only x86 processors, but it would require as much as 2 gigawatts of power - the entire output of the Hoover Dam.

On the other hand, the GPUs in an exascale system built with NVIDIA Kepler K20 processors would consume about 150 megawatts. So, a hybrid system that efficiently utilizes CPUs with higher-performance GPU accelerators is the best bet to tackle the power problem.

However, the ndustry needs to look for power efficiencies in other areas.

Speaking at this week's 2013 International Supercomputing Conference (ISC) in Leipzig, Germany, NVIDIA's Chief Scientist, Bill Dally, said that reaching exascale, would require a 25x improvement in energy efficiency ? 50 gigaflops per watt vs. the 2 gigaflops per watt from today's most efficient systems.

And manufacturing process advances alone will not achieve this goal. At best, this will only deliver about a 2.2x improvement in performance per watt, leaving an energy efficiency gap of 12x that will need to be reached by other means.

Dally believes that a combination of more efficient circuit design and better processor architectures can help close the gap ? delivering 3x and 4x improvements in performance per watt, respectively.

Dally?s engineering team at NVIDIA is exploring a number of new approaches, including utilizing hierarchical register files, two-level scheduling, optimizing temporal SIMT, and other advanced techniques - all designed to maximize energy efficiency in every way possible.

Dally says that second big challenge to overcome is making it easier for developers to program these large-scale systems.

Although parallel computing is not hard - at least in Dally's view - programmers, programming tools and the architecture each need to 'play their positions.' For example, programmers should focus on designing better algorithms - and not worry about optimization or mapping. Leave that to the programming tools, which are much more effective at these types of tasks than humans.

And the architecture - well, it just needs to provide the underlying compute power, and otherwise "stay out of the way."

On top of this, Dally notes that tools and programming models need to continue improving, making it even easier for programmers to maximize both performance and energy efficiency.

Potential improvements Dally is investigating in this area include using collection-oriented programming methods, which will continue to make the process of programing large-scale machines quicker and easier.

By focusing on these areas, Dally believes that exascale computing is within our reach by the end of the decade.


Previous
Next
Facebook Bug Exposes Emails, Phone Numbers Of 6 million Facebook users        All News        Nano Research Technique Allows Petabyte Storage On A DVD
Facebook Bug Exposes Emails, Phone Numbers Of 6 million Facebook users     General Computing News      Apple Prevails In Legal Battle Against Samsung in Tokyo

Get RSS feed Easy Print E-Mail this Message

Related News
NVIDIA GRID 2.0 Launches
Nvidia GTX950 Graphic Processor Released
GPU shipments Dropped During The Quarter, Both AMD And Nvidia Slipped
Nvidia Brings Maxwell GPUs To New Quadro M5000 and M4000
GPU Sales Drive Nvidia's Revenue
Nvidia Is Offering Latest Chapter in Metal Gear Saga With A New Graphics Card
NVIDIA Accelerates Deep Learning Performance With New tools
NVIDIA to Acquire TransGaming's Cross-Platform Portability Technology
Computex: NVIDIA Announces The GeForce GTX 980 Ti, Gameworlkd VR Branding And Mobile G-sync
Nvidia Brings GameWorks To Mobile With AndroidWorks
Upcoming Video Cards Form AMD and Nvidia Appear Online
Nvidia Shield Is Now A Full-HD, 60 Frames per Second Game-Streaming Service

Most Popular News
 
Home | News | All News | Reviews | Articles | Guides | Download | Expert Area | Forum | Site Info
Site best viewed at 1024x768+ - CDRINFO.COM 1998-2015 - All rights reserved -
Privacy policy - Contact Us .