Welcome to the MGHPCC Virtual Booth

Northeastern University

Exploring Shared Memory Multi-GPU Computing

Wednesday, November 18 10:30 am EST
JOIN IN ZOOM
Passcode: 759941
Today, compute GPUs have become a primary enabler to accelerate a wide range of workloads. Given the rampant growth of data set sizes and computing demands, programmers have quickly reached the limits of memory and compute resources on a single or multiple GPUs managed by a single host. This talk will suggest some new directions for researchers to pursue to move beyond the resources of a few GPUs, while also reducing the programming burden on application developers.
Northeastern University
Electrical and Computer Engineering
Prof. David Kaeli
Distinguished Professor of Electrical and Computer Engineering, Northeastern University
Chat with us @
CHAT NOW
Attend Consortium Talks @
SEE OUR SCHEDULE

Consortium

Featured projects

Air Force Arcade
Airborne Optical Systems Test Bed (AOSTB)
Black Hole Initiative
Center for Scientific Computing and Visualization Research (CSCVR)
Colosseum
Data Centric Low Emission Mobility
Fast Accurate NURBS Optimization (FANO)
FlyNet
Foldit
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