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ATF: A generic directive-based auto-tuning framework

  • Published:2018-01-17 Issue:5 Volume:31 Page:e4423
  • ISSN:1532-0626
  • Container-title:Concurrency and Computation: Practice and Experience
  • language:en
  • Short-container-title:Concurrency Computat Pract Exper

Author:

Rasch Ari1ORCID,Gorlatch Sergei1

Affiliation:

1. University of Münster; Einsteinstraße 62, Münster Germany

Funder

BMBF project HPC2SE

DFG Cluster CiM

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Reference19 articles.

1. Clint WR Dongarra JJ Automatically tuned linear algebra software 1998 Washington, DC

2. Christen M Schenk O Burkhart H PATUS: A code generation and autotuning framework for parallel iterative stencil computations on modern microarchitectures 2011 Anchorage, AK

3. Milepost GCC: machine learning enabled self-tuning compiler;Fursin;Int J Parallel Prog,2011

4. Chen C Chame J Hall M CHILL: A framework for composing high-level loop transformations Los Angeles, CA 2008 136 150

5. Hartono A Norris B Sadayappan P Annotation-based empirical performance tuning using Orio 2009 Rome, Italy

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1. STuning-DL: Model-Driven Autotuning of Sparse GPU Kernels for Deep Learning;IEEE Access;2024

2. Umpalumpa: a framework for efficient execution of complex image processing workloads on heterogeneous nodes;Computing;2023-06-19

3. Autotuning Parallel Programs by Model Checking;Automatic Control and Computer Sciences;2022-12

4. AlphaSparse: Generating High Performance SpMV Codes Directly from Sparse Matrices;SC22: International Conference for High Performance Computing, Networking, Storage and Analysis;2022-11

5. Analyzing Search Techniques for Autotuning Image-based GPU Kernels: The Impact of Sample Sizes;2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW);2022-05
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