Vassilis Vassiliadis

According to our database, Vassilis Vassiliadis authored at least 13 papers between 2015 and 2022.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2022

Towards an Approximation-Aware Computational Workflow Framework for Accelerating Large-Scale Discovery Tasks.

Michael A. Johnston, Vassilis Vassiliadis

CoRR, 2022

Towards an Approximation-Aware Computational Workflow Framework for Accelerating Large-Scale Discovery Tasks: Invited paper.

Michael A. Johnston, Vassilis Vassiliadis

Proceedings of the ApPLIED '22: Proceedings of the 2022 Workshop on Advanced tools, 2022

Fast, Transparent, and High-Fidelity Memoization Cache-Keys for Computational Workflows.

Vassilis Vassiliadis, Michael A. Johnston, James L. McDonagh

Proceedings of the IEEE International Conference on Services Computing, 2022

2021

Artificial neural networks for online error detection.

Vassilis Vassiliadis, Konstantinos Parasyris, Christos D. Antonopoulos, Spyros Lalis, Nikolaos Bellas

CoRR, 2021

Energy-Aware Learning Agent (EALA) for Disaggregated Cloud Scheduling.

Nicholas Nordlund, Vassilis Vassiliadis, Michele Gazzetti, Dimitris Syrivelis, Leandros Tassiulas

Proceedings of the 14th IEEE International Conference on Cloud Computing, 2021

2020

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, Vassilis Vassiliadis, Michael A. Johnston, Herbert Jordan, Thomas Fahringer

Comput. Phys. Commun., 2020

2018

A Framework for Evaluating Software on Reduced Margins Hardware.

Konstantinos Parasyris, Panos K. Koutsovasilis, Vassilis Vassiliadis, Christos D. Antonopoulos, Nikolaos Bellas, Spyros Lalis

Proceedings of the 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2018

2017

Significance-Aware Program Execution on Unreliable Hardware.

Konstantinos Parasyris, Vassilis Vassiliadis, Christos D. Antonopoulos, Spyros Lalis, Nikolaos Bellas

ACM Trans. Archit. Code Optim., 2017

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

Towards automatic significance analysis for approximate computing.

Vassilis Vassiliadis, Jan Riehme, Jens Deussen, Konstantinos Parasyris, Christos D. Antonopoulos, Nikolaos Bellas, Spyros Lalis, Uwe Naumann

Proceedings of the 2016 International Symposium on Code Generation and Optimization, 2016

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

Proceedings of the 20th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2015

Automating data management in heterogeneous systems using polyhedral analysis.

Vassilis Vassiliadis, Christos D. Antonopoulos, George Zindros

Proceedings of the 19th Panhellenic Conference on Informatics, 2015

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

Proceedings of the 12th ACM International Conference on Computing Frontiers, 2015