Welcome to the MGHPCC Virtual Booth

MIT Lincoln Laboratory

Scaling AI from Single Core to Thousands

Tuesday, November 17 10:00 am EST
Passcode: 759941
As it stands today, there is a large gap between the desire to develop and deploy artificial intelligence solutions and actually being able to prototype the solution. Building robust deep learning systems for AI requires massive amounts of labelled data and large amounts of compute. The LLSC is working to address the challenge of managing and integrating vast, diverse data sets; optimizing the performance of enormous training and inference calculations; and developing algorithmic techniques for large scale AI. This talk will present our results on optimizing the training of deep neural networks on a single processor and scaling up to hundreds to processors to enable rapid prototyping of AI.
MIT Lincoln Laboratory
Lincoln Laboratory Supercomputing Center (LLSC)
Siddharth Samsi
Technical Staff
Chat with us @
Attend Consortium Talks @


Featured projects

Air Force Arcade
Airborne Optical Systems Test Bed (AOSTB)
Black Hole Initiative
Center for Scientific Computing and Visualization Research (CSCVR)
Data Centric Low Emission Mobility
Fast Accurate NURBS Optimization (FANO)
Fusarium Pathogenomics: Understanding Fungal Pathogenicity through Genomics
GLEAM: Global Epidemic and Mobility project
Lichtman Lab - Center for Brain Science
Lincoln Laboratory Supercomputing Center (LLSC)
LLSC Articles and Publications
MIT Initiative on the Digital Economy
MIT Laboratory for Financial Engineering
Northeast Cyberteam
Northeastern University and Williams College SC20 Student Cluster Competition Team
Quantum Architectures at Goodwill Computing Lab
Simulating Large Biomolecular Assemblies
The Center for Information and Systems Engineering (CISE)
The Mass Open Cloud and Open Cloud Initiative
Video and Imagery Dataset to Drive Public Safety
Visibility Estimation through Image Analytics (VEIA)
linkedin facebook pinterest youtube rss twitter instagram facebook-blank rss-blank linkedin-blank pinterest youtube twitter instagram