iWAPT 2020 - 2020 The Fourteenth International Workshop on Automatic Performance Tuning
Topics/Call fo Papers
The goal of the Fifteenth International Workshop on Automatic Performance Tuning (iWAPT2020)
is to bring together researchers who are investigating automated techniques for constructing
and/or adapting algorithms and software for high-performance on modern complex machine
architectures.
Topics of Interest
We are particularly interested in autotuning and its relationship to the following topic areas, among others:
Machine-adaptive algorithms
Automatic program generation
Performance analysis and modeling
Adaptive numerical algorithms and libraries
Multi- and manycore systems, heterogeneous architectures challenges
Compilation strategies(e.g. iterative and empirical compilers)
Programming models
Runtime systems
Empirical search heuristics
Power- and/or energy-aware computing
is to bring together researchers who are investigating automated techniques for constructing
and/or adapting algorithms and software for high-performance on modern complex machine
architectures.
Topics of Interest
We are particularly interested in autotuning and its relationship to the following topic areas, among others:
Machine-adaptive algorithms
Automatic program generation
Performance analysis and modeling
Adaptive numerical algorithms and libraries
Multi- and manycore systems, heterogeneous architectures challenges
Compilation strategies(e.g. iterative and empirical compilers)
Programming models
Runtime systems
Empirical search heuristics
Power- and/or energy-aware computing
Other CFPs
- 8th Workshop on Parallel Programming Models - Special Edition on IoT and Machine Learning
- Workshop on Scalable Networks for Advanced Computing Systems (SNACS)
- 2020 2nd Workshop on Parallel AI and Systems for the Edge
- 2nd Workshop on Resource Arbitration for Dynamic Runtimes (RADR)
- 2020 Scalable Deep Learning over Parallel And Distributed Infrastructures
Last modified: 2019-10-23 01:40:41