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!

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