A significance-driven programming framework for energy-constrained approximate computing. - Vassilis Vassiliadis; Charalampos Chalios; Konstantinos Parasyris; Christos D. Antonopoulos; Spyros Lalis; Nikolaos Bellas; Hans Vandierendonck; Dimitrios S. Nikolopoulos (Conf. Computing Frontiers, 2015)

Automating data management in heterogeneous systems using polyhedral analysis. - Vassilis Vassiliadis; Christos D. Antonopoulos; George Zindros (Panhellenic Conference on Informatics, 2015)

A programming model and runtime system for significance-aware energy-efficient computing. - Vassilis Vassiliadis; Konstantinos Parasyris; Charalambos Chalios; Christos D. Antonopoulos; Spyros Lalis; Nikolaos Bellas; Hans Vandierendonck; Dimitrios S. Nikolopoulos (PPoPP, 2015)

Towards automatic significance analysis for approximate computing. - Vassilis Vassiliadis; Jan Riehme; Jens Deussen; Konstantinos Parasyris; Christos D. Antonopoulos; Nikolaos Bellas; Spyros Lalis; Uwe Naumann (CGO, 2016)

Exploiting Significance of Computations for Energy-Constrained Approximate Computing. - Vassilis Vassiliadis; Charalampos Chalios; Konstantinos Parasyris; Christos D. Antonopoulos; Spyros Lalis; Nikolaos Bellas; Hans Vandierendonck; Dimitrios S. Nikolopoulos (Int. J. Parallel Program., 2016)

Significance-Aware Program Execution on Unreliable Hardware. - Konstantinos Parasyris; Vassilis Vassiliadis; Christos D. Antonopoulos; Spyros Lalis; Nikolaos Bellas (ACM Trans. Archit. Code Optim., 2017)

A Framework for Evaluating Software on Reduced Margins Hardware. - Konstantinos Parasyris; Panos K. Koutsovasilis; Vassilis Vassiliadis; Christos D. Antonopoulos; Nikolaos Bellas; Spyros Lalis (DSN, 2018)

AllScale toolchain pilot applications: PDE based solvers using a parallel development environment. - 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; et al. (Comput. Phys. Commun., 2020)

Energy-Aware Learning Agent (EALA) for Disaggregated Cloud Scheduling. - Nicholas Nordlund; Vassilis Vassiliadis; Michele Gazzetti; Dimitris Syrivelis; Leandros Tassiulas (CLOUD, 2021)

Artificial neural networks for online error detection. - Vassilis Vassiliadis; Konstantinos Parasyris; Christos D. Antonopoulos; Spyros Lalis; Nikolaos Bellas (CoRR, 2021)

Fast, Transparent, and High-Fidelity Memoization Cache-Keys for Computational Workflows. - Vassilis Vassiliadis; Michael A. Johnston; James L. McDonagh (SCC, 2022)

Towards an Approximation-Aware Computational Workflow Framework for Accelerating Large-Scale Discovery Tasks: Invited paper. - Michael A. Johnston; Vassilis Vassiliadis (ApPLIED@PODC, 2022)

Towards an Approximation-Aware Computational Workflow Framework for Accelerating Large-Scale Discovery Tasks. - Michael A. Johnston; Vassilis Vassiliadis (CoRR, 2022)

Efficient and Reuseable Cloud Configuration Search Using Discovery Spaces. - Michael Johnston; Burkhard Ringlein; Christoph Hagleitner; Alessandro Pomponio; Vassilis Vassiliadis; Christian Pinto; Srikumar Venugopal (CoRR, 2025)