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Konstantinos Parasyris
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2020 – today
- 2024
- [j6]Dolores Miao
, Ignacio Laguna, Giorgis Georgakoudis, Konstantinos Parasyris, Cindy Rubio-González:
An automated OpenMP mutation testing framework for performance optimization. Parallel Comput. 121: 103097 (2024) - [c26]Alnis Murtovi, Giorgis Georgakoudis
Enhancing Performance Through Control-Flow Unmerging and Loop Unrolling on GPUs. CGO 2024: 106-118 - [c25]Aochuan Chen, Yimeng Zhang, Jinghan Jia, James Diffenderfer, Konstantinos Parasyris, Jiancheng Liu, Yihua Zhang, Zheng Zhang, Bhavya Kailkhura, Sijia Liu:
DeepZero: Scaling Up Zeroth-Order Optimization for Deep Model Training. ICLR 2024 - [c24]Brian R. Bartoldson, James Diffenderfer, Konstantinos Parasyris, Bhavya Kailkhura:
Adversarial Robustness Limits via Scaling-Law and Human-Alignment Studies. ICML 2024 - [c23]Gregory Bolet, Giorgis Georgakoudis, Konstantinos Parasyris, Kirk W. Cameron, David Beckingsale, Todd Gamblin:
An Exploration of Global Optimization Strategies for Autotuning OpenMP-based Codes. IPDPS (Workshops) 2024: 741-750 - [c22]Dolores Miao
MUPPET: Optimizing Performance in OpenMP via Mutation Testing. PMAM@PPoPP 2024: 22-31 - [i15]Joshua Hoke Davis, Pranav Sivaraman, Isaac Minn, Konstantinos Parasyris, Harshitha Menon, Giorgis Georgakoudis, Abhinav Bhatele:
An Evaluative Comparison of Performance Portability across GPU Programming Models. CoRR abs/2402.08950 (2024) - [i14]Brian R. Bartoldson
Adversarial Robustness Limits via Scaling-Law and Human-Alignment Studies. CoRR abs/2404.09349 (2024) - [i13]Zane Fink, Konstantinos Parasyris, Praneet Rathi, Giorgis Georgakoudis, Harshitha Menon, Peer-Timo Bremer:
HPAC-ML: A Programming Model for Embedding ML Surrogates in Scientific Applications. CoRR abs/2407.18352 (2024) - [i12]Ignacio Laguna, Patrick J. Chapman, Konstantinos Parasyris, Giorgis Georgakoudis, Cindy Rubio-González:
Testing the Unknown: A Framework for OpenMP Testing via Random Program Generation. CoRR abs/2410.09191 (2024) - 2023
- [j5]Harshitha Menon
Approximate High-Performance Computing: A Fast and Energy-Efficient Computing Paradigm in the Post-Moore Era. IT Prof. 25(2): 7-15 (2023) - [c21]Konstantinos Parasyris
Scalable Tuning of (OpenMP) GPU Applications via Kernel Record and Replay. SC 2023: 28:1-28:14 - [c20]Zane Fink
HPAC-Offload: Accelerating HPC Applications with Portable Approximate Computing on the GPU. SC 2023: 29:1-29:14 - [i11]Giorgis Georgakoudis, Konstantinos Parasyris, Chunhua Liao, David Beckingsale, Todd Gamblin, Bronis R. de Supinski:
Machine Learning-Driven Adaptive OpenMP For Portable Performance on Heterogeneous Systems. CoRR abs/2303.08873 (2023) - [i10]Zane Fink, Konstantinos Parasyris, Giorgis Georgakoudis, Harshitha Menon:
HPAC-Offload: Accelerating HPC Applications with Portable Approximate Computing on the GPU. CoRR abs/2308.16877 (2023) - [i9]Aiden Grossman, Ludger Paehler, Konstantinos Parasyris, Tal Ben-Nun, Jacob Hegna, William S. Moses, Jose Manuel Monsalve Diaz, Mircea Trofin, Johannes Doerfert:
ComPile: A Large IR Dataset from Production Sources. CoRR abs/2309.15432 (2023) - [i8]Aochuan Chen, Yimeng Zhang, Jinghan Jia, James Diffenderfer
DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training. CoRR abs/2310.02025 (2023) - 2022
- [c19]Johannes Doerfert, Marc Jasper, Joseph Huber, Khaled Abdelaal, Giorgis Georgakoudis
Breaking the Vendor Lock: Performance Portable Programming through OpenMP as Target Independent Runtime Layer. PACT 2022: 494-504 - [c18]Shilei Tian
Direct GPU Compilation and Execution for Host Applications with OpenMP Parallelism. LLVM-HPC@SC 2022: 43-51 - [c17]Harshitha Menon, Konstantinos Parasyris, Tom Scogland, Todd Gamblin:
Searching for High-Fidelity Builds Using Active Learning. MSR 2022: 179-190 - [c16]Konstantinos Parasyris, Giorgis Georgakoudis
Piper: Pipelining OpenMP Offloading Execution Through Compiler Optimization For Performance. P3HPC@SC 2022: 100-110 - [c15]Konstantinos Parasyris, James Diffenderfer, Harshitha Menon, Ignacio Laguna, Jackson Vanover
Approximate Computing Through the Lens of Uncertainty Quantification. SC 2022: 67:1-67:14 - [i7]Harshitha Menon, Konstantinos Parasyris, Tom Scogland, Todd Gamblin:
Reliabuild: Searching for High-Fidelity Builds Using Active Learning. CoRR abs/2202.05223 (2022) - 2021
- [c14]Konstantinos Parasyris, Giorgis Georgakoudis
Co-Designing Multi-Level Checkpoint Restart for MPI Applications. CCGRID 2021: 103-112 - [c13]Konstantinos Parasyris, Giorgis Georgakoudis
HPAC: evaluating approximate computing techniques on HPC OpenMP applications. SC 2021: 86 - [c12]Christian Göttel, Konstantinos Parasyris, Osman S. Unsal, Pascal Felber
Scrooge Attack: Undervolting ARM Processors for Profit: Practical experience report. SRDS 2021: 187-197 - [i6]Luanzheng Guo, Giorgis Georgakoudis, Konstantinos Parasyris, Ignacio Laguna, Dong Li:
MATCH: An MPI Fault Tolerance Benchmark Suite. CoRR abs/2102.06894 (2021) - [i5]Christian Göttel, Konstantinos Parasyris, Osman S. Unsal, Pascal Felber, Marcelo Pasin, Valerio Schiavoni:
Scrooge Attack: Undervolting ARM Processors for Profit. CoRR abs/2107.00416 (2021) - [i4]Vassilis Vassiliadis, Konstantinos Parasyris, Christos D. Antonopoulos, Spyros Lalis, Nikolaos Bellas:
Artificial neural networks for online error detection. CoRR abs/2111.13908 (2021) - 2020
- [j4]Panos K. Koutsovasilis
Dynamic Undervolting to Improve Energy Efficiency on Multicore X86 CPUs. IEEE Trans. Parallel Distributed Syst. 31(12): 2851-2864 (2020) - [c11]Konstantinos Parasyris, Kai Keller
Checkpoint Restart Support for Heterogeneous HPC Applications. CCGRID 2020: 242-251 - [c10]Behzad Salami, Konstantinos Parasyris, Adrián Cristal, Osman S. Unsal, Xavier Martorell, Paul Carpenter, Raúl de la Cruz, Leonardo Bautista-Gomez, Daniel A. Jiménez, Carlos Álvarez
LEGaTO: Low-Energy, Secure, and Resilient Toolset for Heterogeneous Computing. DATE 2020: 169-174 - [c9]Kai Keller
Design and Study of Elastic Recovery in HPC Applications. HiPC 2020: 261-270 - [c8]Konstantinos Parasyris
HPC-MixPBench: An HPC Benchmark Suite for Mixed-Precision Analysis. IISWC 2020: 25-36 - [c7]Luanzheng Guo
MATCH: An MPI Fault Tolerance Benchmark Suite. IISWC 2020: 60-71
2010 – 2019
- 2019
- [i3]Muhammet Abdullah Soytürk, Konstantinos Parasyris, Behzad Salami, Osman S. Unsal, Gulay Yalcin, Leonardo Bautista-Gomez:
Hardware Versus Software Fault Injection of Modern Undervolted SRAMs. CoRR abs/1912.00154 (2019) - [i2]Behzad Salami, Konstantinos Parasyris, Adrián Cristal, Osman S. Unsal, Xavier Martorell, Paul Carpenter, Raúl de la Cruz, Leonardo Bautista-Gomez, Daniel A. Jiménez, Carlos Álvarez, S. Nabavi, Sergi Madonar, Miquel Pericàs, Pedro Trancoso, Mustafa Abduljabbar, Jing Chen, Pirah Noor Soomro, Madhavan Manivannan, Micha vor dem Berge, Stefan Krupop, Frank Klawonn, Al Mekhlafi, Sigrun May, Tobias Becker, Georgi Gaydadjiev, Daniel Ödman, Hans Salomonsson, Devdatt P. Dubhashi, Oron Port, Yoav Etsion, Do Le Quoc, Christof Fetzer, Martin Kaiser, Nils Kucza, Jens Hagemeyer, René Griessl, Lennart Tigges, Kevin Mika, A. Hüffmeier, Th. Jungeblu, Marcelo Pasin, Valerio Schiavoni, Isabelly Rocha, Christian Göttel, Pascal Felber:
LEGaTO: Low-Energy, Secure, and Resilient Toolset for Heterogeneous Computing. CoRR abs/1912.01563 (2019) - 2018
- [b1]Konstantinos Parasyris:
System software techniques to enhance reliability of modern platforms. University of Thessaly, Greece, 2018 - [c6]Konstantinos Parasyris, Panos K. Koutsovasilis, Vassilis Vassiliadis, Christos D. Antonopoulos, Nikolaos Bellas, Spyros Lalis:
A Framework for Evaluating Software on Reduced Margins Hardware. DSN 2018: 330-337 - [c5]Konstantinos Parasyris, Nikolaos Bellas, Christos D. Antonopoulos, Spyros Lalis:
Exploring the Effects of Code Optimizations on CPU Frequency Margins. ISC Workshops 2018: 579-587 - 2017
- [j3]Lev Mukhanov, Pavlos Petoumenos
ALEA: A Fine-Grained Energy Profiling Tool. ACM Trans. Archit. Code Optim. 14(1): 1:1-1:25 (2017) - [j2]Konstantinos Parasyris, Vassilis Vassiliadis, Christos D. Antonopoulos, Spyros Lalis, Nikolaos Bellas
Significance-Aware Program Execution on Unreliable Hardware. ACM Trans. Archit. Code Optim. 14(2): 12:1-12:25 (2017) - 2016
- [j1]Vassilis Vassiliadis
Exploiting Significance of Computations for Energy-Constrained Approximate Computing. Int. J. Parallel Program. 44(5): 1078-1098 (2016) - [c4]Vassilis Vassiliadis, Jan Riehme, Jens Deussen
Towards automatic significance analysis for approximate computing. CGO 2016: 182-193 - 2015
- [c3]Vassilis Vassiliadis, Charalampos Chalios
A significance-driven programming framework for energy-constrained approximate computing. Conf. Computing Frontiers 2015: 9:1-9:8 - [c2]Vassilis Vassiliadis, Konstantinos Parasyris, Charalambos Chalios
A programming model and runtime system for significance-aware energy-efficient computing. PPoPP 2015: 275-276 - 2014
- [c1]Konstantinos Parasyris, Georgios Tziantzoulis, Christos D. Antonopoulos
GemFI: A Fault Injection Tool for Studying the Behavior of Applications on Unreliable Substrates. DSN 2014: 622-629 - [i1]Vassilis Vassiliadis, Konstantinos Parasyris, Charalambos Chalios, Christos D. Antonopoulos, Spyros Lalis, Nikolaos Bellas, Hans Vandierendonck, Dimitrios S. Nikolopoulos:
A Programming Model and Runtime System for Significance-Aware Energy-Efficient Computing. CoRR abs/1412.5150 (2014)
Coauthor Index
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