The Trillion Parameter Consortium – an emerging collective of national laboratories, universities, institutes, and companies – brings together individuals and groups who are developing, training, and harnessing large-scale models along with those operating the high-performance computing systems necessary for model training.

TPC supports collaboration among innovators in the fields of artificial intelligence, supercomputing, and data science. To that end, we are excited to announce a forthcoming series of seminars featuring some of the most prominent figures in these domains. These seminars will explore the incredible potential of Large-Language Models (LLMs) and their synergy with High-Performance Computing (HPC) techniques and technologies.

Upcoming Events

Sajal Dash

Research Scientist at Oak Ridge National Laboratory

Presenting on May 8, 2024

Kyle Lo

Research Scientist at the Allen Institute for AI in Seattle

Presenting on May 22, 2024

Bo Li

Neubauer Associate Professor in the Department of Computer Science

Presenting on June 5, 2024


Hosted by:

Dario Dematties

Postdoctoral Researcher at
Northwestern Argonne Institute of Science and Engineering


Past Events

Michael C. Frank

Stanford University

Presenting on April 24, 2024

Dexter Pratt

Director of Software Development

Presented on April 10, 2024

Rio Yokota

Global Scientific Information and Computing Center, Tokyo Institute of Technology

Presented on March 20, 2024

Yuan-Sen Ting

Australian National University and Ohio State University

Presented on March 6, 2024

Large Language Models (LLMs): Tutorial Workshop

Several Presenters

Presented on February 12 & 13, 2024

Professor Irina Rish

Université de Montréal (UdeM)

Presented on February 7, 2024

Kshitij Gupta

MSc student at Mila through the Université de Montréal (UdeM)

Presenting on January 25, 2024

Leon Song

Senior Principal Research Manager at Microsoft Research

Presented on December 4, 2023

Rick L. Stevens

Associate Lab Director and Distinguished Fellow at Argonne National Laboratory

Presented on November 28, 2023