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Tuesday–Thursday, November 17–19, 2020

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The SC Papers program is the leading venue for presenting high-quality original research, groundbreaking ideas, and compelling insights on future trends in high performance computing, networking, storage, and analysis. Attend presentations of peer-reviewed technical papers on a wide range of topics over three inspiring days.

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Papers Schedule

All Days
Tue, Nov 17
Wed, Nov 18
Thu, Nov 19
Tag
Registration Category
Award Finalist
Tuesday, 17 November 2020 expand all · collapse all
TimeTypeSession / PresentationContributorsLocationTagPlan
10am - 11:30am EDTPaper
Paper Constraints and Physics in Machine Learning 
Arvind Ramanathan
Track 2
Applications
Machine Learning, Deep Learning and Artificial Intelligence
Parallel Programming Languages, Libraries, and Models
TP
10am - 11:30am EDTPaper
Paper I/O 
Dean Hildebrand
Track 5
Algorithms
File Systems and I/O
Storage
TP
10am - 11:30am EDTPaper
Paper Quantum Simulation 
Sofia Vallecorsa
Track 3
Quantum Computing
Simulation
TP
10am - 11:30am EDTPaper
Paper Sparsity in Deep Learning 
Tom Gibbs
Track 4
Accelerators, FPGA, and GPUs
Machine Learning, Deep Learning and Artificial Intelligence
Sparse Computation
TP
1pm - 2:30pm EDTPaper
Paper Memory Efficient Deep Learning 
Amir Gholami
Track 4
Machine Learning, Deep Learning and Artificial Intelligence
Memory Optimization
Scalable Computing
TP
1pm - 2:30pm EDTPaper
Paper Molecular Dynamics and Material Science 
Juan R. Perilla
Track 2
Algorithms
Applications
Sparse Computation
TP
1pm - 2:30pm EDTPaper
Paper Networks 
Madeleine Glick
Track 5
Algorithms
Networks
Reconfigurable Computing
Routing
TP
1pm - 2:30pm EDTPaper
Paper Tools 
David Donofrio
Track 3
Graph Algorithms
Performance/Productivity Measurement and Evaluation
TP
3pm - 4:30pm EDTPaper
Paper AI for IT 
Pasupathy Shankar
Track 3
File Systems and I/O
Machine Learning, Deep Learning and Artificial Intelligence
Performance/Productivity Measurement and Evaluation
Resource Management and Scheduling
TP
3pm - 4:30pm EDTPaper
Paper Communication and Networks 
Bing Xie
Track 5
Algorithms
MPI
Networks
TP
3pm - 4:30pm EDTPaper
Paper GPU-Accelerated Applications 
Wei Wu
Track 2
Accelerators, FPGA, and GPUs
Algorithms
Applications
Scalable Computing
TP
3pm - 4:30pm EDTPaper
Paper System Software at Scale 
Fabrizio Petrini
Track 4
Accelerators, FPGA, and GPUs
Reliability and Resiliency
Security
System Software and Runtime Systems
TP
Wednesday, 18 November 2020 expand all · collapse all
TimeTypeSession / PresentationContributorsLocationTagPlan
10am - 11:30am EDTPaper
Paper Distributed Deep Learning 
Brian C. Van Essen
Track 3
Accelerators, FPGA, and GPUs
Machine Learning, Deep Learning and Artificial Intelligence
Scalable Computing
TP
10am - 11:30am EDTPaper
Paper Exascale and Beyond 
Kentaro Sano
Track 2
Architectures
Quantum Computing
TP
10am - 11:30am EDTPaper
Paper Floating-Point Accuracy 
José Moreira
Track 4
Algorithms
Floating Point
TP
10am - 11:30am EDTPaper
Paper Programmable Parallelism 
Matthias S. Mueller
Track 5
Compilers Analysis and Optimization
Debugging
Storage
TP
1pm - 2:30pm EDTPaper
Paper GPU Algorithms and Optimizations 
Florina M. Ciorba
Track 3
Accelerators, FPGA, and GPUs
Algorithms
Graph Algorithms
Scalable Computing
TP
1pm - 2:30pm EDTPaper
Paper Porting Applications to Specific Hardware 
Xiaohu Guo
Track 4
Accelerators, FPGA, and GPUs
Applications
Architectures
TP
1pm - 2:30pm EDTPaper
Paper Simulation, Modeling, and Benchmarks 
Claudia Fohry
Track 5
Machine Learning, Deep Learning and Artificial Intelligence
Requirements, Performance, and Benchmarks
Reliability and Resiliency
TP
1pm - 2:30pm EDTPaper
Paper Storage Resiliency 
Anthony Kougkas
Track 2
Fault Tolerance
Reliability and Resiliency
Storage
TP
3pm - 4:30pm EDTPaper
Paper Containers and Serverless Computing 
Ali R. Butt
Track 2
Cloud and Distributed Computing
Containers
Machine Learning, Deep Learning and Artificial Intelligence
Resource Management and Scheduling
TP
3pm - 4:30pm EDTPaper
Paper Graph Neural Networks 
Ulrike Meier Yang
Track 4
Accelerators, FPGA, and GPUs
Linear Algebra
Machine Learning, Deep Learning and Artificial Intelligence
TP
3pm - 4:30pm EDTPaper
Paper Linear Algebra and Its Application 
Paul Lin
Track 3
Applications
Linear Algebra
Scalable Computing
TP
3pm - 4:30pm EDTPaper
Paper Resilience and Power Management 
Vladimir Getov
Track 5
Accelerators, FPGA, and GPUs
Fault Tolerance
Power
Reliability and Resiliency
TP
Thursday, 19 November 2020 expand all · collapse all
TimeTypeSession / PresentationContributorsLocationTagPlan
10am - 11:30am EDTPaper
Paper Computational Chemistry 
Maria Grazia Giuffreda
Track 2
Applications
Scalable Computing
TP
10am - 11:30am EDTPaper
Paper Data Analysis and Reduction 
Janine C. Bennett
Track 4
Data Analytics, Compression, and Management
Performance/Productivity Measurement and Evaluation
Resource Management and Scheduling
TP
10am - 11:30am EDTPaper
Paper Kernel Optimizations 
Antonino Tumeo
Track 3
Algorithms
Graph Algorithms
Linear Algebra
TP
1pm - 2:30pm EDTPaper
Paper GPU-Based Tools and Modeling 
Sunita Chandrasekaran
Track 3
Accelerators, FPGA, and GPUs
Machine Learning, Deep Learning and Artificial Intelligence
Performance/Productivity Measurement and Evaluation
Reliability and Resiliency
TP
1pm - 2:30pm EDTPaper
Paper Multiphysics Applications 
Anshu Dubey
Track 2
Applications
Extreme Scale Computing
Mixed-precision
TP
1pm - 2:30pm EDTPaper
Paper Quantized and Factorized Deep Learning 
Rio Yokota
Track 4
Data Analytics, Compression, and Management
Linear Algebra
Machine Learning, Deep Learning and Artificial Intelligence
TP
3pm - 4pm EDTPaper
Paper Compiler Optimizations 
Scott Pakin
Track 4
Accelerators, FPGA, and GPUs
Compilers Analysis and Optimization
TP
3pm - 4:30pm EDTPaper
Paper Graph Algorithms 
Umit Catalyurek
Track 3
Graph Algorithms
Scalable Computing
TP
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