Salishan Conference on High Speed Computing
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Salishan 2022 Schedule

Monday, April 25, 8:00a - 11:45a (PDT)

Keynote Address

 7:55  -  8:00    : Welcome | Carolyn Connor, Los Alamos National  Laboratory
 8:00   -  8:45a  : Towards Instance-Optimized (Data-) Systems | Timothy Kraska, MIT
 8:45  -   9:00a  : Break

Session 1: Data-Centric Design - The Future of HPC Systems?

 9:00  -   9:30a  : Co-Design of Data Centric HPC Systems | Doug Joseph, ARM
 9:30  - 10:00a  : Delivering Innovations for HPC Systems:  The Project 38 Journey | Eric Cheng,  Office of the Director of National Intelligence
10:00 - 10:15a  : Break
10:15 - 10:45a  : DNN/Accelerator Co-design:  Present and Future | Callie Hao, Georgia Technical Institute
10:45 - 11:15a  : The Future of Hardware Technologies for Computing: N3XT 3D MOSAIC, Illusion Scaleup, Co-Design | Subhasish Mitra, Stanford University
11:15 - 11:45a  : Speaker Panel Session

Tuesday, April 26, 8:00a - 10:45a PDT

Session 2: Data Motion Challenges and Opportunities

 8:00  -  8:30a  : Accelerating Data-driven Workflows with DAOS | Johann Lombardi, Intel Corporation
 8:30  -  9:00a  : A Storage Design Fit for Exascale  | Kathryn Mohror, Lawrence Livermore National Laboratory
 9:00  -  9:15a  : Break
 9:15  -  9:45a  : Supporting Scientific Simulation and Analysis with Computational Storage and Efficient Storage System Design | Dominic Manno, Los Alamos National Laboratory
 9:45  - 10:15a : Storing Digital Data in Synthetic DNA | Karin Strauss, Microsoft Corporation
10:15 - 10:45a : Speaker Panel Session

Wednesday, April 27, 8:00a - 10:45a PDT

Session 3: HPC-Scale Data Analytics

 8:00  -  8:30a  : Can We Have HPC Data Science? | William Reus, Department of Defense
 8:30  -  9:00a  : Exploiting Spark for HPC Simulation Data:  Taming the Ephemeral Data Explosion | Ming Jiang,  Lawrence Livermore National Laboratory
 9:00  -  9:15a  : Break
 9:15  -  9:45a  : GPU Accelerated Graph Analytics and Graph Neural Networks on Huge Datasets | Joe Eaton, NVIDIA
 9:45  - 10:15a : High-performance networks for data analytics – what we’ve learned and what is next? | Pavel Shamis, ARM
10:15 - 10:45a : Speaker Panel Session

Thursday, April 28, 8:00a - 10:45a PDT

Session 4: Data Handling in Hybrid Workflows

 8:00  -  8:30a  :  Hybrid Quantum/Classical Computing:  Dependencies,  Data Flows, and Architectures | Kevin Kissell, Google
 8:30  -  9:00a  : Accelerated Thermal Battery Design Through Digital Engineering Tools | Scott Roberts,  Sandia National Laboratories
 9:00  -  9:15a  : Break
 9:15  -  9:45a  : Composable Systems for AI-Integrated Scientific Computing | Ilkay Altintas De Callafon, San Diego Supercomputer Center/UCSD
 9:45  - 10:15a : BEE: Build and Execution Environment; A Workflow Orchestration System | Patricia Grubel, Los Alamos National Laboratory
10:15 - 10:45a : Speaker Panel Session

Friday, April 29, 8:00a - 10:45a PDT

Session 5: Advancements in Microelectronics

 8:00  -  8:30a  : How Probabilistic Neuromorphic Computing May Impact Scientific Computing Applications |  Brad Aimone, Sandia National Laboratories
 8:30  -  9:00a  : Abisko: Microelectronics Codesign Across the Computing Stack | Jeffrey Vetter, Oak Ridge National Laboratory
 9:00  -  9:15a  : Break
 9:15  -  9:45a  : Threadwork:  A Transformative Co-Design Approach to Materials and Computer Architecture Research | Andrew Chien,  Argonne National Laboratory
 9:45  - 10:15a : Challenges and Opportunities for the Scaling of Post Moore Microelectronics | Ramamoorthy Ramesh and John Shalf,Lawrence, Berkeley National Laboratory
10:15 - 10:45a : Speaker Panel Session
10:45 -  11:00  : Closing  Remarks and Adjourn  | Salishan Organizing Committee
Photos courtesy of John Daly
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