Overview

Featured Videos

Your Innovation, Our Memory

Your Innovation, Our Memory

Emerging technologies require innovation on a whole new scale. See how we partner closely with our customers to gain unique insights about how we can optimize our memory solutions to enable your innovations—and help you change the world.

View video
Memory for Automotive

Memory for Automotive

Technology is reshaping the concept of driving. Automakers are developing countless new driver-assistance features and systems. See how Micron’s memory solutions are helping to enable these new supercomputing capabilities.

View video

About Micron

Where there's memory, there's Micron

Engineered for Innovation

For more than 30 years Micron has redefined innovation by designing, developing, and manufacturing some of the world’s most advanced technologies.

Learn more
Elpida is Now Micron

Elpida Is Now Micron

With the combined strength of our products, technology, and team members—our customers now have access to the broadest portfolio of best-in-class technology.

About the acquisition

Welcome to My Workspace!

Create an account to access these benefits:

  • Save part pages
  • Save Data Sheets and other files
  • Create folders to organize your projects
  • Share folders with colleagues
  • Organize secure documents for easy access
  • "Follow" parts to see alerts and updates

Learn more about Workspace features

Don't have an account yet? Sign up

Already have an account?   Login

My Folders

Your workspace is your area to organize and save part pages, data sheets, and links for easy access in the future. You can even start by saving some of the pages you've recently accessed below:

ISC12 The Future of Supercomputing Standard Page Save
My Workspace
ISC Fugitsu

ISC12: The Future of Supercomputing

Dean Klein   |   June 25, 2012   |   Innovations and Trends

In Friday’s blog post, we talked about how the U.S. recaptured the Top500 supercomputing lead with the IBM-Lawrence Livermore system named Sequoia. But Fujitsu, creator of last year’s top supercomputer, K, hasn’t been standing still in this department. The K supercomputer at the RIKEN Advanced Institute for Computational Science in Kobe, Japan turns in a respectable Linpack score of 10.5 petaflops and a computational efficiency of more than 93%.

I stopped to chat with the Fujitsu team about their next step and was pleased to see another system chock-full of Micron memory. What they showed me was their next-generation node card, called the FX10. This board doubles the cores per CPU chip from the FX9 that was used in K. They hinted that there is a new machine coming based on FX9 that they expect to retake the lead with.

Some of you may recall that I’ve mentioned GPU-based computing for supercomputers in the past. There was a lot of talk about GPU computing here again. I even sat through an Nvidia presentation where they claimed to be the energy-efficiency leader, showing energy figures that were higher than the IBM BlueGene-Q. It’s also worth noting that this year’s Top500 list has more GPUs than last year, but the number in the top 10 has gone from three to two. Of course this will change either later this year or early next year, when the Oak Ridge National Laboratory’s Jaguar supercomputer gets through its upgrade with its Nvidia 2090 GPUs.

One other interesting metric to note is that the computational efficiency (Rmax/Rpeak) for the GPU-based machines is a lot lower than other supercomputers, with scores of around 50%. Don’t get me wrong; I’m not down on the GPUs, but they have some hurdles to overcome if they are going to be the viable path to exascale (10^18 FLOPS). My hypothesis is that they may be able to improve with better programming tools, but also that they could use better access to high-speed memory. I chaired an ISC session called “Large Memory Systems and Challenges.” In my introductory comments, I focused on the economics of memory and the opportunity of memory. My three speakers were Shawn Strande from the University of California–San Diego, Dr. Bruce Jacob from the University of Maryland, and Dr. Richard Murphy from Sandia National Laboratories. Shawn is the project manager for the Gordon supercomputer, a machine that is unique in its incorporation of Flash memory. Gordon is called a “data-intensive supercomputer.” Dr. Jacob is no stranger to Micron; he’s an expert on memory performance and system modeling. Dr. Murphy discussed the applications view of memory. Both Dr. Jacob and Dr. Murphy pointed to the Hybrid Memory Cube as a necessary ingredient in future high-performance computing. Well, it’s been a great show and a great place to connect with some of the thought leaders in the high- performance computing space. But now I’m off to England—so long, Hamburg!

Tags: HMC

Login or Sign-up for an account to leave a comment.