8:15 am - 2:45 pm PDT (UTC-7)

Event Lobby

8:15 - 8:30 am Welcome Address

8:30 - 2:30 pm Information & Agenda

2:30 - 2:45 pm Closing Messages

8:30 - 9:15 am PDT (UTC-7)

KEYNOTE

Pieter Abbeel

Professor and Director

UC Berkeley Robot Learning Lab, President and Chief Scientist at Covariant AI

Towards a General Solution for Robotics

Moderator

Brenda Ng, ML Group Lead, Lawrence Livermore National Laboratory


15 Minute Break


Day 2 | Aug 11 | Session 1

9:30 - 11:00 am PDT (UTC-7)

ML Solution Taxonomies and Workflows I

Moderator

Youngsoo Choi, Lawrence Livermore National Laboratory

9:30-10:00am

Integrating Machine Learning Insights Into Work

Brian Silva & Scott Johnson

Uptake Technologies Inc.

10:00-10:30am

A missing link in the ML infrastructure stack

Josh Tobin

Gantry

10:30-11:00am

Merlin: Machine Learning Workflow for HPC

Joseph Koning

Lawrence Livermore National Laboratory

ML Software and Hardware Ecosystem I

Moderator

Tom Gibbs, NVIDIA

9:30-10:00am

HPC/AI for Industry Market Overview

Addison Snell

Intersect360 Research

10:00-10:30am

Survival of the Fittest Amidst the Cambrian Explosion of Processor Architectures

Rangan Sukumar

Hewlett Packard Enterprise

10:30-11:00am

Addressing the Energy Efficiency Problem in AI

Naresh Shanbhag

University of Illinois at Urbana-Champaign

Data Sets: Standards, Augmentation, Curation I

Moderator

Jim Gansemer, Lawrence Livermore National Laboratory

9:30-10:00am

Using pre-clinical pharmaceutical data in drug discovery

Jonathan Allen

Lawrence Livermore National Laboratory

10:00-10:30am

Utilizing Disparate, Diverse Datasets Via Federated Learning

Yuval Baror

Rhino Health

10:30-11:00am

Fraud and Adversarial Machine Learning

Medina Williams

Purdue University


15 Minute Break


Day 2 | Aug 11 | Session 2

11:15 - 12:45 am PDT (UTC-7)

ML Solution Taxonomies and Workflows II

Moderator

Barry Chen, Lawrence Livermore National Laboratory

11:15-11:45am

Scalable neural architecture search for surrogate modeling and uncertainty quantification using DeepHyper

Romit Maulik

Argonne National Laboratory

11:45-12:15pm

From HPC to the edge to enable accelerated and reproducible AI discovery

Eliu Huerta

Argonne National Laboratory

12:15-12:45am

Adversarial Machine Learning and Attack Against Deep Neural Networks

Bowei Xi

Purdue University

ML Software and Hardware Ecosystem II

Moderator

Bronis de Supinski, Lawrence Livermore National Laboratory

11:15-11:45am

Platforms, Tools and Usecases for Industrial Digital Twins

Piyush Modi

NVIDIA

11:45-12:15pm

Admiral - Connecting RL libraries with HPC simulations

Edward Rusu

Lawrence Livermore National Laboratory

12:15-12:45pm

Enabling non-Experts with Google ML Hardware and Services

Kevin Kissell

Google

Data Sets: Standards, Augmentation, Curation II

Moderator

Rushil Anirudh, Lawrence Livermore National Laboratory

11:15-11:45am

The DOE SMART Initiative

Joe Morris

Lawrence Livermore National Laboratory

11:45-12:15pm

Autonomous Multimodal Manufacturing Optimization via Digital Twins

Brian Au

Lawrence Livermore National Laboratory

12:15-12:45pm

DOE Data Explorer – Enabling Discovery of DOE-funded Data

Sara Studwell

U. S. Department of Energy


15 Minute Break


Day 2 | Aug 11 | Session 3

1:00 - 2:30 pm PDT (UTC-7)

ML Solution Taxonomies and Workflows III

Moderator

Aaron Fisher, Lawrence Livermore National Laboratory

1:00-1:30pm

Methods of Communication Reduction in Parallel Solution of Partial Differential Equations

Laurent White

Advanced Micro Devices

1:30-2:00pm

Coherent Knowledge Solutions From Prehistory to Future

Claus-Peter Rückemann

WWU Münster

2:00-2:30pm

Reusing Combinatorial Structure: Faster Iterative Projections over Submodular Base Polytopes

Swati Gupta

Georgia Institute of Technology

ML Software and Hardware Ecosystem III

Moderator

Todd Price, Penn State

1:00-1:30pm

The Convergence of HPC and AI Accelerators

Jennifer Glore & Qi Zheng & Arnav Goel

SambaNova Systems

1:30-2:00pm

A Scalable Deep Learning Toolkit for Large Scale Scientific Machine Learning

Brian Van Essen

Lawrence Livermore National Laboratory

2:00-2:30pm

Using the Wafer-Scale Engine for AI and HPC workloads

Natalia Vasileva & Joel Hestness & Andy Hock

Cerebras Systems

Data Sets: Standards, Augmentation, Curation III

Moderator

Philip Cameron-Smith, Lawrence Livermore National Laboratory

1:00-1:30am

Cognitive Simulation: combining simulation and experiment with artificial intelligence

Brian Spears

Lawrence Livermore National Laboratory

1:30-2:00pm

Universal method for part comparison based on requirements specification

Brian Giera & Kyle Devlugt

Lawrence Livermore National Laboratory

2:30 pm - 2:45 pm PDT (UTC-7)

Closing Messages