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Michael 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)
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