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Organization

University of Chicago
Contributors
Rachana Ananthakrishnan
Rachana Ananthakrishnan
Yadu Babuji
Matt Baughman
Alexander Brace
Kyle Chard
Matthew Chen
Andrew Chien
Anshu Dubey
Ian Foster
Robert Grossman
Mihael Hategan
Erica Hsu
Yuanjian Liu
Zhengchun Liu
Greg Pauloski
Brigitte Raumann
Ashka Shah
Michael Sherman
Rick Stevens
Jonathan Tsen
Vas Vasiliadis
Ilija Vukotic
Ryan Wong
Zhuo Zhen
Session Chairs
Rachana Ananthakrishnan
Andrew Chien
Anshu Dubey
Nicola Ferrier
Ian Foster
Robert Grossman
Vas Vasiliadis
Justin Wozniak
Presentations
Paper
Bootstrapping In-Situ Workflow Auto-Tuning via Combining Performance Models of Component Applications
Algorithms
Applications
Performance
TP
Workshop
Bridging Data Center AI Systems with Edge Computing for Actionable Information Retrieval
Online Only
Applications
Scientific Computing
W
Workshop
Colmena: Scalable Machine-Learning-Based Steering of Ensemble Simulations for High Performance Computing
Online Only
Machine Learning and Artificial Intelligence
W
Birds of a Feather
Data Commons and Data Ecosystems for Biomedical Data and the ML/AI Applications Over Them
Online Only
Cloud and Distributed Computing
Data Analytics
Machine Learning and Artificial Intelligence
TP
XO / EX
ACM Student Research Competition: Graduate Poster
ACM Student Research Competition: Undergraduate Poster
Posters
Datastore Design for Analysis of Police Broadcast Audio at Scale
In-Person Only
TP
XO / EX
ACM Student Research Competition: Graduate Poster
ACM Student Research Competition: Undergraduate Poster
Posters
Delving Into the Abyss: A Distributed Decompression System for Indexing Compressed Repositories
In-Person Only
TP
XO / EX
ACM Student Research Competition: Graduate Poster
Embeddings Are All You Need: Transfer Learning in Convolutional Neural Networks Using Word Embeddings
Tutorial
Enabling Secure Data Discoverability
In-Person Only
Data Management
Security
TUT
Workshop
ExaWorks: Workflows for Exascale
Online Only
Cloud and Distributed Computing
Scientific Computing
Workflows
W
Panel
Great Edge-pectations: How Edge and Exascale Found Love
Cloud and Distributed Computing
TP
XO / EX
Panel
HPC Response to the COVID-19 Pandemic
Computational Science
TP
XO / EX
Panel
HPC’s Growing Sustainability Challenges and Emerging Approaches
Green Computing
TP
Workshop
IA^3: Panel
Algorithms
Architectures
Big Data
Data Analytics
Memory Systems
Numerical Algorithms
W
ACM Gordon Bell Finalist
Awards Presentation
Intelligent Resolution: Integrating Cryo-EM with AI-Driven Multi-Resolution Simulations to Observe the SARS-CoV-2 Replication-Transcription Machinery in Action
AI-HPC Convergence
Computational Science
Extreme Scale Comptuing
Performance
Scientific Computing
TP
Workshop
Invited Talk: Intelligent Simulations – How Combining AI and HPC Can Enable New Discoveries
Online Only
Algorithms
Extreme Scale Comptuing
W
Paper
KAISA: An Adaptive Second-Order Optimizer Framework for Deep Neural Networks
Machine Learning and Artificial Intelligence
TP
Workshop
Lightning Talk: Chameleon Cloud
Online Only
SIGHPC
State of the Practice
System Administration
W
ACM Student Research Competition: Graduate Poster
ACM Student Research Competition: Undergraduate Poster
Posters
Mitigating the Metadata Mess: Autonomous Metadata Extraction Pipelines for Large-Scale Data Repositories
In-Person Only
TP
XO / EX
ACM Student Research Competition: Graduate Poster
ACM Student Research Competition: Undergraduate Poster
Posters
One Fish, Two Fish: Choosing Optimal Edge Topologies for Real-Time Autonomous Fish Surveys
In-Person Only
TP
XO / EX
Workshop
Probing Decision Boundaries in Cancer Data Using Noise Injection and Counterfactual Analysis
Applications
Computational Science
Education and Training and Outreach
HPC Community Collaboration
HPC Training and Education
Machine Learning and Artificial Intelligence
Performance
Workforce
W
Birds of a Feather
Software Engineering and Reuse in Modeling, Simulation, and Data Analytics for Science and Engineering
Online Only
Computational Science
Software Engineering
TP
XO / EX
Birds of a Feather
Strategies for Managing Storage in Advanced Computing Environments
Storage
TP
XO / EX
Workshop
The Service Analysis and Network Diagnosis Data Pipeline
Big Data
Cloud and Distributed Computing
Data Analytics
Data Management
Datacenter
Networks
Performance
Quantum Computing
W
Workshop
Understanding Effectiveness of Multi-Error-Bounded Lossy Compression for Preserving Ranges of Interest in Scientific Analysis
Online Only
Applications
Big Data
Data Analytics
Data Management
W
ACM Student Research Competition: Graduate Poster
Yin and Yang: Balancing Cloud Computing and HTC Workloads
Sessions
Workshop
DRBSD-7: The 7th International Workshop on Data Analysis and Reduction for Big Scientific Data
Online Only
Applications
Big Data
Data Analytics
Data Management
W
Tutorial
Enabling Secure Data Discoverability
In-Person Only
Data Management
Security
TUT
Workshop
ISAV21: In Situ Infrastructures for Enabling Extreme Scale Analysis and Visualization
Applications
Big Data
Visualization
W
Birds of a Feather
Data Commons and Data Ecosystems for Biomedical Data and the ML/AI Applications Over Them
Online Only
Cloud and Distributed Computing
Data Analytics
Machine Learning and Artificial Intelligence
TP
XO / EX
Panel
HPC’s Growing Sustainability Challenges and Emerging Approaches
Green Computing
TP
Paper
High-Performance Numerical Methods
Applications
Heterogeneous Systems
Scientific Computing
TP
Birds of a Feather
Strategies for Managing Storage in Advanced Computing Environments
Storage
TP
XO / EX
Paper
Linear and Multilinear Algebra and Applications
Algorithms
Architectures
Numerical Algorithms
TP
Workshop
XLOOP 2021: The 3rd Annual Workshop on Extreme-Scale Experiment-in-the-Loop Computing
Online Only
Applications
Scientific Computing
W
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