Intel Outlines Its Upcoming AI and HPC Sessions at ISC

June 19, 2018

June 19, 2018 — Intel is excited to be a part of ISC High Performance 2018 in Frankfurt, Germany, June 25–28. ISC brings together academic and commercial disciplines to share knowledge in the field of high performance computing. Intel’s presence at the event will include keynotes, sessions, and booth demos that will be focused on the future of HPC technology, including Artificial Intelligence (AI) and visualization. Also featured in the Intel booth: The Intel Collaboration Hub hosting eight in-booth panel discussions and 25 Intel and partner presentations.

Throughout Intel’s presence at ISC, they will showcase how the industry and the world are entering an advanced era of HPC that now includes AI technologies. The data and algorithmic innovations powered with deep learning have led to a sharp increase in the need for compute. As deep learning and other AI techniques evolve with massive data sets and image sizes, they will continue to require high compute power that scales to the size of HPC infrastructures. Intel will showcase how it’s helping AI developers, data scientists and HPC programmers transform industries such as healthcare, retail and finance by tapping into HPC to power the AI solutions of today and the future.

Key Intel Sessions

Keynote: Supercomputing Circa 2025
Dr. Raj Hazra, Corporate Vice President at Intel, will discuss emerging technologies that will accelerate discovery and innovation. The convergence of AI, analytics and simulation and modeling provide new opportunities and challenges for every organization and will require new system architecture for HPC. Dr. Hazra will explore new system level architecture approaches that will help global HPC leaders reach new breakthroughs in system performance and capabilities.

Speaker: Raj Hazra, Corporate Vice President at Intel
Date: Monday, June 25, 2018
Time: 6:00 to 6:45 p.m.
Location: Panorama 2, Forum

Keynote at the HP-CAST Event: New Era in HPC
Trish Damkroger, Vice President, Data Center Group, General Manager, Technical Computing Initiative, Enterprise and Government at Intel will keynote at the HP-CAST, HPE’s user group meeting for high performance computing on the New Era in HPC. She will discuss the changing landscape of technical computing, key trends in HPC, and the convergence of HPC-AI-HPDA that is transforming the industry and ensuring technical computing continues to fulfill its potential as a scientific tool for insight and innovation. Trish will also provide an overview of Intel’s technical computing strategy, products, and ecosystem collaborations that are driving this transformation.

Speaker: Trish Damkroger, Vice President, Data Center Group, General Manager, Technical Computing Initiative, Enterprise and Government at Intel
This keynote will take place at the HP-CAST event.

Machine Learning Day at ISC
Within the last few years, machine learning has become a vital topic within the HPC community. Vendors see the development as an opportunity to expand their high-performance solutions into a new and fast-growing market, and traditional HPC users are incorporating these techniques into their workflows to speed processing and extract greater insights. ISC High Performance will provide a special focus on this subject matter with a one-day track on Wednesday, June 27, where Pradeep Dubey, Intel Fellow at Intel Labs and the Director of the Parallel Computing Lab, will speak in the following session:

Session: On Scale-out Deep Learning Training for Cloud and HPC
Pradeep Dubey, Intel Fellow at Intel Labs and the Director of the Parallel Computing Lab will be one of the featured speakers for Machine Learning Day at ISC. He will discuss how the exponential growth of Artificial Intelligence (AI) and Deep Learning (DL) has accelerated the need for training deep neural networks in hours or even minutes. This can only be achieved through scalable and efficient distributed training, since a single node/card cannot satisfy the compute, memory, and I/O requirements of today’s state-of-the-art neural networks. However, scaling Stochastic Gradient Descent (SGD) is still a challenging problem and requires continued research/development. This entails innovations spanning algorithms, frameworks, communication libraries, and system design. In this talk, Pradeep will describe the philosophy, design, and implementation of Intel Machine Learning Scalability Library (MLSL), support in popular DL frameworks, and present proof-points demonstrating scaling DL training on 100s to 1000s of nodes across Cloud and HPC systems.

Speaker: Pradeep Dubey, Intel Fellow at Intel Labs
Session: Scalable Machine Learning Systems
Time: Wednesday, June 27, 1:45 to 2:15 p.m.
Location: Panorama 2

Intel booth activities located in Messe Frankfurt, Hall 3 (upper level) F-930

The Intel Collaboration Hub, located inside the Intel booth, will be the place to get updates from Intel, meet experts, experience panel discussions, and see the latest from Intel. Below are two panel discussion highlights. Click the link below to see the full schedule:

Panel: Intel Select Solutions – Intro to Professional Visualization 
Hosts: Jeff Jeffers, Senior Director, Senior Principle Engineer, Visualization Engineering at Intel; Ullrich Becker-Lemgau, Technical Marketing Engineer, Intel; and Werner Krotz-Vogel, Technical Marketing Manager, Intel
Time: 11 a.m.
Location: Intel Collaboration Hub inside the Intel booth

Panel: Convergence of AI and HPC
Host: Binay Ackalloor, Director, Business Development, Artificial Intelligence & Machine Learning at Intel
Time: 12 p.m.
Location: Intel Collaboration Hub inside the Intel booth

Please see the full schedule of the Intel Collaboration Hub speakers and panels below.

Intel ISC Booth Demos

Demo: AI on IA—Brain Tumor Segmentation
See an interactive demo of a solution built by Intel to help identify brain tumors. This solution uses deep CNNs to segment brain tumors in 2D MRI images, using 2016 Brain and Tumor Segmentation (BraTS) dataset and containing 31,000 2D MRI scans at 240×240 pixel resolution. Each brain has 255 slices, and the dataset represents ~120 individuals. Intel will deliver a flexible deployment architecture that provides great performance and T.C.O for GE Imaging C.T. group to deliver deep learning applications for their imaging modalities. The result is a trained model that is able to segment brain tumors just as well as a neuroradiologist. Intel then passes along the final MRI images and segmentation maps to EchoPixel for visualization.

Demo: Defined Visualization
See the latest Intel Select Solution that uses software-defined visualization and state-of-the-art Intel ingredients for modeling with visualization of even the most complex and large data sizes. The demo will showcase automotive CFD Analysis with OpenFOAM, ParaView v5.5 using OSPRay to demonstrate high visual fidelity of software-defined visualization using ray tracing to display an animation of airflow over a moving vehicle.

Demo: Application Acceleration with FPGA 
This demo is built around the Intel Programmable Acceleration Card with Intel Arria 10 GX FPGA (Intel PAC with Intel Arria 10 GX FPGA) and demonstrates how FPG-based processing provides high performance and low power. See how to dynamically configure an FPGA to run multiple functions or workloads using partial reconfiguration. The workloads run on the FPGA will be file compression, genome sequencing, image recognition, and video segmentation. The demo will use the Intel PAC with Intel Arria 10 GX FPGA, a robust collection of software, firmware, and tools to make it easier to use Intel FPGAs for workload optimization. The Acceleration Stack abstracts the FPGA design, enabling software application developers to leverage the benefits of FPGAs.

Demo: Distributed Deep Reinforcement Learning on CPU
An Adam optimization algorithm with a batch size of up to 2048 is a viable choice for carrying out large scale machine learning computations. See how this optimization is used to train an Atari agent to play games, which resulted in substantially decreasing the training time. The results were collected using a multi-node Intel Xeon processor-based cluster (formerly codenamed Haswell) and the optimized TensorFlow for Intel architecture. We will demonstrate the progress of the training model, including detailed hardware configuration and software stack, as well as visualization of all critical parameters of the training algorithm and their progress over time.

Attendees can engage with Intel in various sessions (see the ISC schedule) and in the Intel booth (Messe Frankfurt, Hall 3 (upper level) F-930).

The full Intel Collaboration Hub schedule (taking place in Messe Frankfurt, Hall 3 (upper level) F-930) can be found at this link.


Source: Intel

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!

Quantum Watchers – Terrific Interview with Caltech’s John Preskill by CERN

July 17, 2024

In case you missed it, there's a fascinating interview with John Preskill, the prominent Caltech physicist and pioneering quantum computing researcher that was recently posted by CERN’s department of experimental physi Read more…

Aurora AI-Driven Atmosphere Model is 5,000x Faster Than Traditional Systems

July 16, 2024

While the onset of human-driven climate change brings with it many horrors, the increase in the frequency and strength of storms poses an enormous threat to communities across the globe. As climate change is warming ocea Read more…

Researchers Say Memory Bandwidth and NVLink Speeds in Hopper Not So Simple

July 15, 2024

Researchers measured the real-world bandwidth of Nvidia's Grace Hopper superchip, with the chip-to-chip interconnect results falling well short of theoretical claims. A paper published on July 10 by researchers in the U. Read more…

Belt-Tightening in Store for Most Federal FY25 Science Budets

July 15, 2024

If it’s summer, it’s federal budgeting time, not to mention an election year as well. There’s an excellent summary of the curent state of FY25 efforts reported in AIP’s policy FYI: Science Policy News. Belt-tight Read more…

Peter Shor Wins IEEE 2025 Shannon Award

July 15, 2024

Peter Shor, the MIT mathematician whose ‘Shor’s algorithm’ sent shivers of fear through the encryption community and helped galvanize ongoing efforts to build quantum computers, has been named the 2025 winner of th Read more…

Weekly Wire Roundup: July 8-July 12, 2024

July 12, 2024

HPC news can get pretty sleepy in June and July, but this week saw a bump in activity midweek as Americans realized they still had work to do after the previous holiday weekend. The world outside the United States also s Read more…

Aurora AI-Driven Atmosphere Model is 5,000x Faster Than Traditional Systems

July 16, 2024

While the onset of human-driven climate change brings with it many horrors, the increase in the frequency and strength of storms poses an enormous threat to com Read more…

Shutterstock 1886124835

Researchers Say Memory Bandwidth and NVLink Speeds in Hopper Not So Simple

July 15, 2024

Researchers measured the real-world bandwidth of Nvidia's Grace Hopper superchip, with the chip-to-chip interconnect results falling well short of theoretical c Read more…

Shutterstock 2203611339

NSF Issues Next Solicitation and More Detail on National Quantum Virtual Laboratory

July 10, 2024

After percolating for roughly a year, NSF has issued the next solicitation for the National Quantum Virtual Lab program — this one focused on design and imple Read more…

NCSA’s SEAS Team Keeps APACE of AlphaFold2

July 9, 2024

High-performance computing (HPC) can often be challenging for researchers to use because it requires expertise in working with large datasets, scaling the softw Read more…

Anders Jensen on Europe’s Plan for AI-optimized Supercomputers, Welcoming the UK, and More

July 8, 2024

The recent ISC24 conference in Hamburg showcased LUMI and other leadership-class supercomputers co-funded by the EuroHPC Joint Undertaking (JU), including three Read more…

Generative AI to Account for 1.5% of World’s Power Consumption by 2029

July 8, 2024

Generative AI will take on a larger chunk of the world's power consumption to keep up with the hefty hardware requirements to run applications. "AI chips repres Read more…

US Senators Propose $32 Billion in Annual AI Spending, but Critics Remain Unconvinced

July 5, 2024

Senate leader, Chuck Schumer, and three colleagues want the US government to spend at least $32 billion annually by 2026 for non-defense related AI systems.  T Read more…

Point and Click HPC: High-Performance Desktops

July 3, 2024

Recently, an interesting paper appeared on Arvix called Use Cases for High-Performance Research Desktops. To be clear, the term desktop in this context does not Read more…

Atos Outlines Plans to Get Acquired, and a Path Forward

May 21, 2024

Atos – via its subsidiary Eviden – is the second major supercomputer maker outside of HPE, while others have largely dropped out. The lack of integrators and Atos' financial turmoil have the HPC market worried. If Atos goes under, HPE will be the only major option for building large-scale systems. Read more…

Everyone Except Nvidia Forms Ultra Accelerator Link (UALink) Consortium

May 30, 2024

Consider the GPU. An island of SIMD greatness that makes light work of matrix math. Originally designed to rapidly paint dots on a computer monitor, it was then 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…

Shutterstock_1687123447

Nvidia Economics: Make $5-$7 for Every $1 Spent on GPUs

June 30, 2024

Nvidia is saying that companies could make $5 to $7 for every $1 invested in GPUs over a four-year period. Customers are investing billions in new Nvidia hardwa Read more…

Nvidia Shipped 3.76 Million Data-center GPUs in 2023, According to Study

June 10, 2024

Nvidia had an explosive 2023 in data-center GPU shipments, which totaled roughly 3.76 million units, according to a study conducted by semiconductor analyst fir Read more…

AMD Clears Up Messy GPU Roadmap, Upgrades Chips Annually

June 3, 2024

In the world of AI, there's a desperate search for an alternative to Nvidia's GPUs, and AMD is stepping up to the plate. AMD detailed its updated GPU roadmap, w Read more…

Some Reasons Why Aurora Didn’t Take First Place in the Top500 List

May 15, 2024

The makers of the Aurora supercomputer, which is housed at the Argonne National Laboratory, gave some reasons why the system didn't make the top spot on the Top Read more…

Intel’s Next-gen Falcon Shores Coming Out in Late 2025 

April 30, 2024

It's a long wait for customers hanging on for Intel's next-generation GPU, Falcon Shores, which will be released in late 2025.  "Then we have a rich, a very Read more…

Leading Solution Providers

Contributors

Google Announces Sixth-generation AI Chip, a TPU Called Trillium

May 17, 2024

On Tuesday May 14th, Google announced its sixth-generation TPU (tensor processing unit) called Trillium.  The chip, essentially a TPU v6, is the company's l 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…

IonQ Plots Path to Commercial (Quantum) Advantage

July 2, 2024

IonQ, the trapped ion quantum computing specialist, delivered a progress report last week firming up 2024/25 product goals and reviewing its technology roadmap. Read more…

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…

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

March 18, 2024

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

The NASA Black Hole Plunge

May 7, 2024

We have all thought about it. No one has done it, but now, thanks to HPC, we see what it looks like. Hold on to your feet because NASA has released videos of wh Read more…

Q&A with Nvidia’s Chief of DGX Systems on the DGX-GB200 Rack-scale System

March 27, 2024

Pictures of Nvidia's new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing po Read more…

MLPerf Inference 4.0 Results Showcase GenAI; Nvidia Still Dominates

March 28, 2024

There were no startling surprises in the latest MLPerf Inference benchmark (4.0) results released yesterday. Two new workloads — Llama 2 and Stable Diffusion Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire