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ORCIDMichael A. Johnston
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2020 – today
- 2022
[c3]Vassilis Vassiliadis, Michael A. Johnston
, James L. McDonagh:
Fast, Transparent, and High-Fidelity Memoization Cache-Keys for Computational Workflows. SCC 2022: 174-184- [c2]Michael A. Johnston, Vassilis Vassiliadis:
Towards an Approximation-Aware Computational Workflow Framework for Accelerating Large-Scale Discovery Tasks: Invited paper. ApPLIED@PODC 2022: 7-14 - [i1]Michael A. Johnston, Vassilis Vassiliadis:
Towards an Approximation-Aware Computational Workflow Framework for Accelerating Large-Scale Discovery Tasks. CoRR abs/2206.06217 (2022) - 2020
- [j3]Fearghal O'Donncha, Roman Iakymchuk, Albert Akhriev, Philipp Gschwandtner, Peter Thoman, Thomas Heller, Xavier Aguilar, Kiril Dichev, Charles Gillan, Stefano Markidis, Erwin Laure, Emanuele Ragnoli, Vassilis Vassiliadis, Michael A. Johnston, Herbert Jordan, Thomas Fahringer:
AllScale toolchain pilot applications: PDE based solvers using a parallel development environment. Comput. Phys. Commun. 251: 107089 (2020)
2010 – 2019
- 2012
- [j2]Michael A. Johnston, Damien Farrell, Jens Erik Nielsen:
A collaborative environment for developing and validating predictive tools for protein biophysical characteristics. J. Comput. Aided Mol. Des. 26(4): 387-396 (2012)
2000 – 2009
- 2006
- [c1]Michael A. Johnston, Jordi Villà-Freixa:
Enabling Data Sharing and Collaboration in Complex Systems Applications. GCCB 2006: 124-140 - 2005
- [j1]Michael A. Johnston, Ignacio Fdez. Galván, Jordi Villà-Freixa:
Framework-based design of a new all-purpose molecular simulation application: The Adun simulator. J. Comput. Chem. 26(15): 1647-1659 (2005)
Coauthor Index
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