Something for Everyone at GPU Technology Conference

By Tiffany Trader

March 23, 2015

Once relegated to the category of specialized gaming hardware, today’s graphics processors are solving some of the world’s toughest computing problems. During GTC15 last week in San Jose, the full breadth and depth of session topics provided even more evidence of how far graphics processors have come from their gaming roots.

And while this year deep learning and self-driving cars were front and center (literally, the entrance hall was brimming with automotive eye candy), with nearly 500 sessions to choose from, there were still plenty of interesting and relevant sessions targeting the big compute side of GPUs – not to mention the impromptu hallway moments.

If you missed the show this year or if you weren’t able to make it to every session on your agenda, fear not because NVIDIA has once again posted all of the keynotes and a majority of the sessions online.

To get you started, we’ve compiled our top twelve picks for the HPC set. Included in the list are standouts from the very first OpenPOWER summit, which shared the convention space with GTC. If there’s an event you enjoyed that you don’t see, drop me an email ([email protected]) or mention it in the comments section.

#1 — The Keynotes

http://www.ustream.tv/recorded/60025825

In GTC’s opening keynote address, NVIDIA CEO and co-founder Jen-Hsun Huang discusses the latest breakthroughs in visual computing, including the company’s inroads into deep learning. On hand to discuss the future of autonomous vehicles was special guest, 21st century visionary Elon Musk.

And if you’re following the burgeoning deep learning space, check out the other two keynotes here and here, featuring Jeff Dean, Senior Fellow with Google’s Knowledge Group, and Andrew Ng, Chief Scientist at Baidu.

#2

Heterogeneous HPC, Architectural Optimization, and NVLink
Steve Oberlin, CTO, Accelerated Computing, NVIDIA

http://on-demand.gputechconf.com/gtc/2015/video/S5649.html

In this talk, Oberlin explores heterogeneous node design and architecture and describes the role of NVLink, NVIDIA’s scalable node integration channel set to debut with the Pascal GPU in 2016. The technology is a key piece of the DOE CORAL Summit and Sierra supercomputer systems.

#3

E4-ARKA: ARM64+GPU+IB is Now Here
Piero Altoè, Project Manager, E4 Computer Engineering

http://on-demand.gputechconf.com/gtc/2015/video/S5422.html

E4 Computer Engineering Project Manager Piero Altoè presents on ARKA, said to be the first server solution based on ARM 64 bit SoC dedicated to HPC. The compute node is boosted by discrete GPU NVIDIA K20 cards, and features both 10GbE and FDR InfiniBand fabrics. The hardware configuration of the compute node is described in detail to demonstrate the unique capabilities of the ARM+GPU+IB combination. Benchmarks are also discussed with particular attention paid to molecular dynamics software.

#4

A CUDA Implementation of the High Performance Conjugate Gradient (HPCG) Benchmark
Everett Phillips, HPC Software Engineer, NVIDIA

http://on-demand.gputechconf.com/gtc/2015/video/S5185.html

NVIDIA’s Everett Phillips describes a CUDA implementation of the HPCG benchmark, including key optimization strategies and performance results on a wide range of GPU systems: from the smallest CUDA capable platform to the largest GPU supercomputers. Comparing it with the long-standing LINPACK benchmark, Phillips points out that HPCG is more representative of common computation patterns found in modern applications, which rather than being solely compute-intensive are more memory-heavy and require more network communication.

#5

GPU Errors on HPC Systems: Characterization, Quantification and Implications for Architects and Operations
James Rogers, Director of Operations, Oak Ridge Leadership Computing Facility (OLCF), Oak Ridge National Laboratory (ORNL)

http://on-demand.gputechconf.com/gtc/2015/video/S5566.html

The fastest US supercomputer, Titan, installed at Oak Ridge National Laboratory, has more than 18,000 GPUs that are used for a broad range of scientific workloads. In this talk, Rogers points out that while the performance efficiency of GPUs is well understood, their resilience characteristics in a large-scale computing system have not been fully evaluated. He goes on to describe a study, drawn from 300,000,000 Titan node hours, that was undertaken to boost understanding of GPU errors on large-scale heterogenous machines. The work has implications for future GPU architects and HPC centers that use graphics processors.

#6

Attacking HIV with Petascale Molecular Dynamics Simulations on Titan and Blue Waters
James Phillips, Senior Research Programmer, University of Illinois at Urbana-Champaign

http://on-demand.gputechconf.com/gtc/2015/video/S5149.html

Starting with a description of the HIV infectious cycle, University of Illinois’ James Phillips discusses how the highly parallel molecular dynamics code NAMD is being used to perform petascale biomolecular simulations on the GPU-accelerated Cray XK7 Blue Waters and ORNL Titan machines.

#7

Power 8 Microprocessor
Satish Kumar Sadasivam, Senior Performance Engineer and Master Inventor, IBM STG

http://on-demand.gputechconf.com/gtc/2015/video/S5701.html

The first OpenPOWER Summit took place this year in tandem with GTC15. In addition to the main keynotes on Wednesday,  sessions spanned many topics, including this standing-room-only talk about IBM’s first OpenPOWER processor, POWER8. Starting with an overview of the microarchitecture, IBM’s Satish Kumar Sadasivam looks at performance monitoring features in POWER8 and other factors important to optimizing application performance, as well as the POWER8 pipeline.

#8

OpenACC for Fortran Programmers
Michael Wolfe, Compiler Engineer, NVIDIA

http://on-demand.gputechconf.com/gtc/2015/video/S5388.html

Michael Wolfe, who will be familiar to HPCwire readers for his popular “Compilers and More” column, describes how to program NVIDIA GPUs using Fortran with OpenACC directives. The first half of the talk covers the basic material necessary to start using GPUs for Fortran programs and then gets into more advanced material, with hints and tips for Fortran programmers with larger applications that they want to accelerate with a GPU.

#9

Achieving Near-Native GPU Performance in the Cloud
John Paul Walters, Project Leader, University of Southern California, Information Sciences Institute (ISI)

http://on-demand.gputechconf.com/gtc/2015/video/S5323.html

If you’re wondering about the current state of HPC in the cloud, this session is not to be missed. John Paul Walters, technical lead for ISI’s HPC OpenStack initiative and the PI of ISI’s NVIDIA CUDA Research Center, begins with the question of whether it is possible to provide HPC class performance in the GPU-equipped cloud. Approaches described include PCI passthrough, SR-IOV and GPUDirect in tandem with multi-node GPUs with results showing near-native performance.

#10

Porting Apps to Titan: Results from the Inaugural GPU Hackathon

Fernanda Foertter, HPC User Assistance Specialist, Oak Ridge National Laboratory
Seth Johnson, R&D Staff, Monte Carlo Methods, Oak Ridge National Laboratory

http://on-demand.gputechconf.com/gtc/2015/video/S5515.html

The results of the inaugural GPU Hackathon held at the Oak Ridge Leadership Computing Facility are showcased in this 50 minute session, along with lessons learned. The event hosted six teams paired with mentors over a week where applications were ported to GPUs using OpenACC directives. According to ORNL’s Fernanda Foertter, the experience was so successful, three more GPU-porting hackathons are underway.

#11

Using Docker in High Performance Computing in OpenPOWER Environment
Sam Sanjabi, Advisory Software Engineer, IBM Systems & Technology Lab (Canada)

http://on-demand.gputechconf.com/gtc/2015/video/S5680.html

Popular container technology Docker has been widely used in cloud, but increasingly we are hearing about its potential for high-performance computing. Are there benefits of Docker in HPC? There are according to IBM’s Sam Sanjabi. During an OpenPOWER session at GTC15, Sanjabi talks about an integration that was done between IBM’s Platform LSF job scheduler and Docker on the OpenPOWER platform. He gives a short overview of both of these technologies and then describes the results of combining them.

#12

GPU vs Xeon Phi: Performance of Bandwidth Bound Applications with a Lattice QCD Case Study
Mathias Wagner, Postdoc, Indiana University

http://on-demand.gputechconf.com/gtc/2015/video/S5447.html

A very popular session delivered by theoretical physicist Mathias Wagner addresses the performance benefits of accelerators, which continue to make inroads in HPC. More specifically, Wagner sheds light on whether GPUs or Phi coprocessors make the most sense for bandwidth bound applications. He compares their performance using a Lattice QCD application as a case study and describes what it takes to achieve great performance on both architectures.

Didn’t see your favorite session listed? For the full agenda, go to https://registration.gputechconf.com/form/session-listing and play with the keyword search to find what you are looking for. More information on the first OpenPOWER summit is available here.

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industry updates delivered to you every week!

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, code-named Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from its predecessors, including the red-hot H100 and A100 GPUs. Read more…

Nvidia Showcases Quantum Cloud, Expanding Quantum Portfolio at GTC24

March 18, 2024

Nvidia’s barrage of quantum news at GTC24 this week includes new products, signature collaborations, and a new Nvidia Quantum Cloud for quantum developers. While Nvidia may not spring to mind when thinking of the quant Read more…

2024 Winter Classic: Meet the HPE Mentors

March 18, 2024

The latest installment of the 2024 Winter Classic Studio Update Show features our interview with the HPE mentor team who introduced our student teams to the joys (and potential sorrows) of the HPL (LINPACK) and accompany Read more…

Houston We Have a Solution: Addressing the HPC and Tech Talent Gap

March 15, 2024

Generations of Houstonian teachers, counselors, and parents have either worked in the aerospace industry or know people who do - the prospect of entering the field was normalized for boys in 1969 when the Apollo 11 missi Read more…

Apple Buys DarwinAI Deepening its AI Push According to Report

March 14, 2024

Apple has purchased Canadian AI startup DarwinAI according to a Bloomberg report today. Apparently the deal was done early this year but still hasn’t been publicly announced according to the report. Apple is preparing Read more…

Survey of Rapid Training Methods for Neural Networks

March 14, 2024

Artificial neural networks are computing systems with interconnected layers that process and learn from data. During training, neural networks utilize optimization algorithms to iteratively refine their parameters until Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, code-named Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

Nvidia Showcases Quantum Cloud, Expanding Quantum Portfolio at GTC24

March 18, 2024

Nvidia’s barrage of quantum news at GTC24 this week includes new products, signature collaborations, and a new Nvidia Quantum Cloud for quantum developers. Wh Read more…

Houston We Have a Solution: Addressing the HPC and Tech Talent Gap

March 15, 2024

Generations of Houstonian teachers, counselors, and parents have either worked in the aerospace industry or know people who do - the prospect of entering the fi Read more…

Survey of Rapid Training Methods for Neural Networks

March 14, 2024

Artificial neural networks are computing systems with interconnected layers that process and learn from data. During training, neural networks utilize optimizat Read more…

PASQAL Issues Roadmap to 10,000 Qubits in 2026 and Fault Tolerance in 2028

March 13, 2024

Paris-based PASQAL, a developer of neutral atom-based quantum computers, yesterday issued a roadmap for delivering systems with 10,000 physical qubits in 2026 a Read more…

India Is an AI Powerhouse Waiting to Happen, but Challenges Await

March 12, 2024

The Indian government is pushing full speed ahead to make the country an attractive technology base, especially in the hot fields of AI and semiconductors, but Read more…

Charles Tahan Exits National Quantum Coordination Office

March 12, 2024

(March 1, 2024) My first official day at the White House Office of Science and Technology Policy (OSTP) was June 15, 2020, during the depths of the COVID-19 loc Read more…

AI Bias In the Spotlight On International Women’s Day

March 11, 2024

What impact does AI bias have on women and girls? What can people do to increase female participation in the AI field? These are some of the questions the tech Read more…

Alibaba Shuts Down its Quantum Computing Effort

November 30, 2023

In case you missed it, China’s e-commerce giant Alibaba has shut down its quantum computing research effort. It’s not entirely clear what drove the change. Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

Analyst Panel Says Take the Quantum Computing Plunge Now…

November 27, 2023

Should you start exploring quantum computing? Yes, said a panel of analysts convened at Tabor Communications HPC and AI on Wall Street conference earlier this y Read more…

DoD Takes a Long View of Quantum Computing

December 19, 2023

Given the large sums tied to expensive weapon systems – think $100-million-plus per F-35 fighter – it’s easy to forget the U.S. Department of Defense is a Read more…

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia Read more…

Baidu Exits Quantum, Closely Following Alibaba’s Earlier Move

January 5, 2024

Reuters reported this week that Baidu, China’s giant e-commerce and services provider, is exiting the quantum computing development arena. Reuters reported � Read more…

Leading Solution Providers

Contributors

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Training of 1-Trillion Parameter Scientific AI Begins

November 13, 2023

A US national lab has started training a massive AI brain that could ultimately become the must-have computing resource for scientific researchers. Argonne N Read more…

Shutterstock 1179408610

Google Addresses the Mysteries of Its Hypercomputer 

December 28, 2023

When Google launched its Hypercomputer earlier this month (December 2023), the first reaction was, "Say what?" It turns out that the Hypercomputer is Google's t Read more…

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

Google Introduces ‘Hypercomputer’ to Its AI Infrastructure

December 11, 2023

Google ran out of monikers to describe its new AI system released on December 7. Supercomputer perhaps wasn't an apt description, so it settled on Hypercomputer Read more…

China Is All In on a RISC-V Future

January 8, 2024

The state of RISC-V in China was discussed in a recent report released by the Jamestown Foundation, a Washington, D.C.-based think tank. The report, entitled "E Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire