iWAPT 2017 - The Twelfth International Workshop on Automatic Performance Tuning
Date2017-06-02
Deadline2017-01-13
VenueFlorida, USA - United States
Keywords
Websitehttps://www.iwapt.org/2017
Topics/Call fo Papers
The goal of the Twelfth International Workshop on Automatic Performance Tuning (iWAPT2017) 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
Program generation
Performance analysis and modeling
Parallel and distributed computing
Numerical algorithms and libraries
Multi- and manycore systems, heterogeneous architectures
Compilation, e.g., iterative and empirical compilers
Programming models
Runtime systems
Empirical search heuristics
Power- and/or energy-aware computing
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
Program generation
Performance analysis and modeling
Parallel and distributed computing
Numerical algorithms and libraries
Multi- and manycore systems, heterogeneous architectures
Compilation, e.g., iterative and empirical compilers
Programming models
Runtime systems
Empirical search heuristics
Power- and/or energy-aware computing
Other CFPs
- 2017 4th Annual Chapel Implementers and Users Workshop
- 2017 IEEE International Workshop on High-Performance Big Data Computing
- 19th Workshop on Advances in Parallel and Distributed Computational Models
- 22ND INTERNATIONAL WORKSHOP ON HIGH-LEVEL PARALLEL PROGRAMMING MODELS AND SUPPORTIVE ENVIRONMENTS
- International Workshop on Graph Algorithms Building Blocks (GABB’2017)
Last modified: 2016-11-16 12:03:00