1 / 11

HPC Top 5 Stories: January 12, 2018

Check out weekly insights into the world of HPC and AI with this HPC Top 5 Stories.

nvidia
Download Presentation

HPC Top 5 Stories: January 12, 2018

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. HPC TOP 5 STORIES Weekly Insights into the World of High Performance Computing

  2. HPC AND AI HAVE PAVED THE WAY FOR GROUNDBREAKING DISCOVERIES IN SCIENCE, MEDICINE, AND OTHER FIELDS…

  3. PROVING THAT AI IS THE FUTURE OF SUPERCOMPUTING…

  4. TOP 5 HERE ARE THE “TOP FIVE’ STORIES HIGHLIGHTING WHAT’S HOT IN HPC AND AI

  5. TOP 5 1. Momentum Builds for US Exascale 2. HPC Connects in Denver: Student Cluster Competition 3. Facebook’s Expanding Machine Learning Infrastructure 4. Steve Oberlin from NVIDIA Presents: HPC Exascale & AI 5. Delivering Predictive Outcomes with Superhuman Knowledge

  6. 1 MOMENTUM BUILDS FOR US EXASCALE First and most visible, is the initial installation of the SC Summit system at Oak Ridge National Laboratory (ORNL) and the NNSA Sierra system at Lawrence Livermore National Laboratory (LLNL). Both systems are being built by IBM using Power9 processors with Nvidia GPU co- processors. The machines will have two Power9 CPUs per system board and will use a Mellenox InfinBand interconnection network. Beyond that, the architecture of each machine is slightly different. The ORNL Summit machine will use six Nvidia Volta GPUs per two Power9 CPUs on a system board and will use NVLink to connect to 512 GB of memory. ARTICLE

  7. 2 HPC CONNECTS IN DENVER: STUDENT CLUSTER COMPETITION All participants opted for GPUs this year with each team using either V100 or P100 GPUs from Nvidia. This year also saw the use of IBM Power 8 processors, and the team from Illinois choose to use AMD CPUs for their system. Teams can use any configuration of hardware, but are capped at 3,000 watts for the total system. This year the winner was Nanyang Technological University, which achieved a Linpack score of 51.8 Teraflops. The students opted for a two-node system with a total of 88 cores combined with 8 V100 GPUs and an EDR interconnect. ARTICLE

  8. 3 FACEBOOK’S EXPANDING MACHINE LEARNING INFRASTRUCTURE In THE company’s “Big Basin” system unveiled at OCP Summit last year is a successor to the first generation “Big Sur” machine that the social media giant unveiled at the Neural Information Processing Systems conference in December 2015. As we noted at the release in a deep dive into the architecture, the Big Sur machine crammed eight of Nvidia’s Tesla M40 accelerators, which slide into PCI-Express 3.0 x16 slots and which has 12 GB of GDDR5 frame buffer memory for CUDA applications to play in, and two “Haswell” Xeon E5 processors into a fairly tall chassis. Since then, the design has been extended to support the latest Nvidia Volta V100 GPUs. ARTICLE

  9. 4 STEVE OBERLIN FROM NVIDIA PRESENTS: HPC EXASCALE AND AI Steve Oberlin is responsible for NVIDIA’s Tesla roadmap and architecture. Tesla GPUs are NVIDIA’s flagship processors for high performance computing, delivering extreme parallel processing, unrivaled processing power, and world-leading efficiency. They are playing a critical part in the race to build exascale computers to tackle the world’s most complex computational challenges in science and industry. In this video from SC17, Steve Oberlin from NVIDIA presents: HPC Exascale & AI. ARTICLE & VIDEO

  10. 5 DELIVERING PREDICTIVE OUTCOMES WITH SUPERHUMAN KNOWLEDGE Massive data growth and advances in acceleration technologies are pushing modern computing capabilities to unprecedented levels and changing the face of entire industries. Today’s organizations are quickly realizing that the more data they have the more they can learn, and powerful new techniques like artificial intelligence (AI) and deep learning are helping them convert that data into actionable intelligence that can transform nearly every aspect of their business. NVIDIA GPUs and Hewlett Packard Enterprise (HPE) high performance computing (HPC) platforms are accelerating these capabilities and helping organizations arrive at deeper insights, enable dynamic correlation, and deliver predictive outcomes with superhuman knowledge. ARTICLE

  11. HOW CAN HPC IMPACT YOUR BUSINESS? LEARN MORE

More Related