Accumulo Colleagues,
The Sep 19-23 IEEE High Performance Extreme Computing (HPEC) virtual
conference, organized by MIT in cooperation with SIAM, is the largest computing
conference in New England with 125+ talks with over 30 MIT affiliated
presentations from over 50 MIT affiliated authors - see bold below. HPEC
features a wide range of cutting edge work on: AI, machine learning, big data,
graph analytics, cloud computing, sensor processing, cyber, parallel computing,
GPU computing, database technology, quantum computing, ..., tutorials, and many
distinguished invited speakers.
Full and free registrations can be obtained at:
http://www.ieee-hpec.org/
The preliminary agenda can be found at:
https://ieee-hpec.org/index.php/ieee-hpec-2022-prelim-agenda/
Regards. -Jeremy
26th IEEE HPEC (MIT content)
Confirmed Distinguished Speakers
•Prof. Barbara Liskov (Turing Award Winner) – Reflections on a Career in
Computer Science
•Prof. Taylor Perron (MacArthur Fellow) – Challenges in Geospatial Computing
Special Sessions
•Boosting Resilience through Artificial Intelligence and Decision Support
(VanDam, Pisharody)
•Scaling HPC Education (Mullen, Milechin, Jananthan)
AI Challenges
•Weather Challenge - Velliette; Wolfe
•Datacenter Challenge - Samsi; Weiss
•Rainforest Challenge - Cha
•ManeuverID Challenge - Samuel
•Magnetic Navigation Challenge - Taylor
•Cognitive Pilot Challenge - Yuditskaya; Brattain
Talks & Posters
•Predicting Ankle Moment Trajectory with Adaptive Weighted Ensemble of LSTM
Networks - Grzesiak; Siu; Sloboda
•Machine Learning for Accurate and Fast Bandgap Prediction of Solid-State
Materials - Verma; Kajale; Gomez-Bombarelli
•Epigenetics and Transcriptomics Quality Control Pipelines in a HPC Environment
- Ricke; Ng; Fremont-Smith; Michaleas; Jaimes
•SuperCloud Lite in the Cloud – Lightweight, Secure, Self-Service, On-Demand
Mechanisms for Creating Customizable Research Computing Environments - Edie;
Keville; Milechin; Hill
•Large Scale Enrichment and Statistical Cyber Characterization of Network
Traffic - Kawaminami, Estrada, Elsakkary, Jananthan, Aydın Buluç, Davis, Grant,
Jones, Meiners, Morris, Pisharody, Kepner
•Edge Computing Security for a Multi-Agent System - Lee; Gettings; Beebe;
Monticciolo; Vai
•GraphBLAS on the Edge: High Performance Streaming of Network Traffic
[Outstanding Paper Award] - Jones, Kepner, Andersen, Buluc, Byun, Claffy,
Davis, Arcand, Bernays, Bestor, Bergeron, Gadepally, Houle, Hubbell, Jananthan,
Klein, Meiners, Milechin, Mullen, Pisharody, Prout, Reuther, Rosa, Samsi,
Sreekanth, Stetson, Yee, Michaleas
•Leveraging Supercomputing Resources to Machine Annotate Aircraft Tracks at
Scale - Weinert; Lee; Maki; Serres
•Hypersparse Network Flow Analysis of Packets with GraphBLAS - Trigg, Meiners,
Pisharody, Jananthan, Jones, Michaleas, Davis, Welch, Arcand, Bestor, Bergeron,
Byun, Gadepally, Houle, Hubbell, Klein, Michaleas, Milechin, Mullen, Prout,
Reuther, Rosa, Samsi, Stetson, Yee, Kepner
•Enabling Novel In-Memory Computation Algorithms to Address Next-Generation
Throughput Constraints on SWaP-Limited Platforms - Ray; Meiners
•Benchmarking Resource Usage for Efficient Distributed Deep Learning
[Outstanding Paper Award] - Frey; Li; McDonald; Zhao; Jones; Bestor; Tiwari;
Gadepally; Samsi
•Performance Estimation for Efficient Image Segmentation Training of Weather
Radar Algorithms - McDonald; Kurdzo; Stepanian; Veillette; Samsi
•Enabling Transformers to Understand Low-Level Programs - Guo; Moses
•Computational Energy Trends for Machine Learning/Artificial Intelligence
Applications - Reuther; Shankar
•An Evaluation of Low Overhead Time Series Preprocessing Techniques for
Downstream Machine Learning - Weiss; McDonald; Bestor; Yee; Edelman; Jones;
Prout; Bowne; McEvoy; Gadepally; Samsi
•AI Accelerator Survey and Trends - Reuther, Kepner, Gadepally, Samsi,
Michaleas, Jones
•DASH: Scheduling Deep Learning Workloads on Multi-Generational GPU-Accelerated
Clusters - Li; Patel; Gadepally; Gettings; Samsi; Tiwari
•GPU-Accelerated High-Bandwidth Radar Centroiding - Brigada; Merfeld; Warner
•A Hierarchical Jacobi Iteration for Structured Matrices on GPUs using Shared
Memory - Islam
•Python Implementation of the Dynamic Distributed Dimensional Data Model -
Jananthan, Milechin, Jones, Arcand, Bergeron, Bestor, Byun, Houle, Hubbell,
Gadepally, Klein, Michaleas, Morales, Mullen, Prout, Reuther, Rosa, Samsi, Yee,
Kepner
•Parallel Computing with DNA Forensics Data - Michaleas; Fremont-Smith;
Lennartz; Ricke
•pPython for Parallel Python Programming - Byun; Arcand; Bestor; Bergeron;
Gadepally; Houle; Hubbell; Jananthan; Jones; Keville; Klein; Michaleas;
Milechin; Morales; Mullen; Prout; Reuther; Rosa; Samsi; Yee; Kepner
