ICPP 2020: Edmonton, AB, Canada

Best-Paper Candidates

Distributed Systems

Edge Learning and Inference

Memory Systems

Fault-Tolerance

Scheduling and Placement in Networks

Systems for Machine Learning

Graph Processing and Concurrent Data Structures

Large-Scale Applications on Supercomputers

Machine Learning for Computing

Performance Tools and Methodology

Storage Reliability & Memory Security

Supporting Efficient Machine Learning

Data Center Networking

Parallel Algorithms I

Parallel and Distributed Machine Learning

Heterogeneous Systems

Performance Evaluation and Characterization

Routing and Mapping in Networks

Microarchitecture and Power Management

Parallel Algorithms II

Resource Management on the Cloud

GPU-Accelerated Applications

Data Centers and the Edge

Storage and I/O Optimization

a service of Schloss Dagstuhl - Leibniz Center for Informatics