| Towards automatic significance analysis for approximate computing V Vassiliadis, J Riehme, J Deussen, K Parasyris, CD Antonopoulos, ... Proceedings of the 2016 International Symposium on Code Generation and …, 2016 | 70 | 2016 |
| A programming model and runtime system for significance-aware energy-efficient computing V Vassiliadis, K Parasyris, C Chalios, CD Antonopoulos, S Lalis, N Bellas, ... ACM SIGPLAN Notices 50 (8), 275-276, 2015 | 67 | 2015 |
| Exploiting significance of computations and profile-driven regression for energy-constrained approximate computing V Vassiliadis, C Chalios, K Parasyris, CD Antonopoulos, S Lalis, N Bellas, ... International Journal of Parallel Programming 44 (5), 1078-1098, 2016 | 23 | 2016 |
| A framework for evaluating software on reduced margins hardware K Parasyris, P Koutsovasilis, V Vassiliadis, CD Antonopoulos, N Bellas, ... 2018 48th Annual IEEE/IFIP International Conference on Dependable Systems …, 2018 | 18 | 2018 |
| Significance-aware program execution on unreliable hardware K Parasyris, V Vassiliadis, CD Antonopoulos, S Lalis, N Bellas ACM Transactions on Architecture and Code Optimization (TACO) 14 (2), 1-25, 2017 | 17 | 2017 |
| A significance-driven programming framework for energy-constrained approximate computing V Vassiliadis, C Chalios, K Parasyris, CD Antonopoulos, S Lalis, N Bellas, ... Proceedings of the 12th ACM International Conference on Computing Frontiers, 9, 2015 | 10 | 2015 |
| AllScale toolchain pilot applications: PDE based solvers using a parallel development environment F O’Donncha, R Iakymchuk, A Akhriev, P Gschwandtner, P Thoman, ... Computer Physics Communications 251, 107089, 2020 | 8 | 2020 |
| Energy-Aware Learning Agent (EALA) for Disaggregated Cloud Scheduling N Nordlund, V Vassiliadis, M Gazzetti, D Syrivelis, L Tassiulas IEEE International Conference on Cloud Computing, 2021 | 7 | 2021 |
| Fast, transparent, and high-fidelity memoization cache-keys for computational workflows V Vassiliadis, MA Johnston, JL McDonagh 2022 IEEE International Conference on Services Computing (SCC), 174-184, 2022 | 5 | 2022 |
| Automating data management in heterogeneous systems using polyhedral analysis V Vassiliadis, CD Antonopoulos, G Zindros Proceedings of the 19th Panhellenic conference on informatics, 317-322, 2015 | 5 | 2015 |
| Artificial neural networks for online error detection V Vassiliadis, K Parasyris, CD Antonopoulos, S Lalis, N Bellas https://arxiv.org/abs/2111.13908, 2021 | 4 | 2021 |
| Towards an Approximation-Aware Computational Workflow Framework for Accelerating Large-Scale Discovery Tasks MA Johnston, V Vassiliadis Proceedings of the 2022 Workshop on Advanced tools, programming languages …, 2022 | 2 | 2022 |
| Automatic creation and execution of a test harness for workflows M Johnston, V Vasileiadis US Patent US20220207438A1, 2022 | 1 | 2022 |
| A Significance-Aware Software Stack for Computing on Unreliable Hardware K Parasyris, V Vassiliadis, CD Antonopoulos, S Lalis, N Bellas Significance 26 (27), 28, 0 | 1 | |
| Topological “Shape” in Micellar Dynamics TJ Peters, KE Jordan, J Li, K Gardner, BÓ Conchúir, WC Swope, ... ACS omega 9 (14), 16084-16088, 2024 | | 2024 |
| Optimization of workflows with dynamic file caching V Vasileiadis, C Pinto, M Johnston, I Gkoufas, S Venugopal US Patent WO2022142751A1, 2022 | | 2022 |
| Workflow patching M Johnston, V Vasileiadis US Patent US20220147344A1, 2021 | | 2021 |
| Optimization of program execution using computational significance V Vassiliadis University of Thessaly, 2020 | | 2020 |
| Workflow pipeline optimization V Vasileiadis, M Johnston US Patent US20210208953A1, 2020 | | 2020 |
| SCoRPiO: Significance Based Computing for Reliability and Power Optimization V Vassiliadis, K Parasyris, CD Antonopoulos, N Bellas, J Riehme, ... 2016 International Symposium on Code Generation and Optimization (CGO), 2016 | | 2016 |
Konstantinos ParasyrisLawrence Livermore National LabOverená e-mailová adresa na: llnl.gov