Konstantinos Parasyris

According to our database, Konstantinos Parasyris authored at least 43 papers between 2014 and 2024.

Collaborative distances:

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

2024

An automated OpenMP mutation testing framework for performance optimization.

Dolores Miao, Ignacio Laguna, Giorgis Georgakoudis, Konstantinos Parasyris, Cindy Rubio-González

Parallel Comput., 2024

Testing the Unknown: A Framework for OpenMP Testing via Random Program Generation.

Ignacio Laguna, Patrick J. Chapman, Konstantinos Parasyris, Giorgis Georgakoudis, Cindy Rubio-González

CoRR, 2024

An Evaluative Comparison of Performance Portability across GPU Programming Models.

Joshua Hoke Davis, Pranav Sivaraman, Isaac Minn, Konstantinos Parasyris, Harshitha Menon, Giorgis Georgakoudis, Abhinav Bhatele

CoRR, 2024

HPAC-ML: A Programming Model for Embedding ML Surrogates in Scientific Applications.

Zane Fink, Konstantinos Parasyris, Praneet Rathi, Giorgis Georgakoudis, Harshitha Menon, Peer-Timo Bremer

Proceedings of the International Conference for High Performance Computing, 2024

MUPPET: Optimizing Performance in OpenMP via Mutation Testing.

Dolores Miao, Ignacio Laguna, Giorgis Georgakoudis, Konstantinos Parasyris, Cindy Rubio-González

Proceedings of the 15th International Workshop on Programming Models and Applications for Multicores and Manycores, 2024

An Exploration of Global Optimization Strategies for Autotuning OpenMP-based Codes.

Gregory Bolet, Giorgis Georgakoudis, Konstantinos Parasyris, Kirk W. Cameron, David Beckingsale, Todd Gamblin

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

Adversarial Robustness Limits via Scaling-Law and Human-Alignment Studies.

Brian R. Bartoldson, James Diffenderfer, Konstantinos Parasyris, Bhavya Kailkhura

Proceedings of the Forty-first International Conference on Machine Learning, 2024

DeepZero: Scaling Up Zeroth-Order Optimization for Deep Model Training.

Aochuan Chen, Yimeng Zhang, Jinghan Jia, James Diffenderfer, Konstantinos Parasyris, Jiancheng Liu, Yihua Zhang, Zheng Zhang, Bhavya Kailkhura, Sijia Liu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Enhancing Performance Through Control-Flow Unmerging and Loop Unrolling on GPUs.

Alnis Murtovi, Giorgis Georgakoudis, Konstantinos Parasyris, Chunhua Liao, Ignacio Laguna, Bernhard Steffen

Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2024

2023

Approximate High-Performance Computing: A Fast and Energy-Efficient Computing Paradigm in the Post-Moore Era.

Harshitha Menon, James Diffenderfer, Giorgis Georgakoudis, Ignacio Laguna, Michael O. Lam, Daniel Osei-Kuffuor, Konstantinos Parasyris, Jackson Vanover

IT Prof., 2023

ComPile: A Large IR Dataset from Production Sources.

Aiden Grossman, Ludger Paehler, Konstantinos Parasyris, Tal Ben-Nun, Jacob Hegna, William S. Moses, Jose Manuel Monsalve Diaz, Mircea Trofin, Johannes Doerfert

CoRR, 2023

Machine Learning-Driven Adaptive OpenMP For Portable Performance on Heterogeneous Systems.

Giorgis Georgakoudis, Konstantinos Parasyris, Chunhua Liao, David Beckingsale, Todd Gamblin, Bronis R. de Supinski

CoRR, 2023

Scalable Tuning of (OpenMP) GPU Applications via Kernel Record and Replay.

Konstantinos Parasyris, Giorgis Georgakoudis, Esteban Rangel, Ignacio Laguna, Johannes Doerfert

Proceedings of the International Conference for High Performance Computing, 2023

HPAC-Offload: Accelerating HPC Applications with Portable Approximate Computing on the GPU.

Zane Fink, Konstantinos Parasyris, Giorgis Georgakoudis, Harshitha Menon

Proceedings of the International Conference for High Performance Computing, 2023

2022

Reliabuild: Searching for High-Fidelity Builds Using Active Learning.

Harshitha Menon, Konstantinos Parasyris, Tom Scogland, Todd Gamblin

CoRR, 2022

Approximate Computing Through the Lens of Uncertainty Quantification.

Konstantinos Parasyris, James Diffenderfer, Harshitha Menon, Ignacio Laguna, Jackson Vanover, Ryan Vogt, Daniel Osei-Kuffuor

Proceedings of the SC22: International Conference for High Performance Computing, 2022

Piper: Pipelining OpenMP Offloading Execution Through Compiler Optimization For Performance.

Konstantinos Parasyris, Giorgis Georgakoudis, Johannes Doerfert, Ignacio Laguna, Thomas R. W. Scogland

Proceedings of the IEEE/ACM International Workshop on Performance, 2022

Searching for High-Fidelity Builds Using Active Learning.

Harshitha Menon, Konstantinos Parasyris, Tom Scogland, Todd Gamblin

Proceedings of the 19th IEEE/ACM International Conference on Mining Software Repositories, 2022

Direct GPU Compilation and Execution for Host Applications with OpenMP Parallelism.

Shilei Tian, Joseph Huber, Konstantinos Parasyris, Barbara M. Chapman, Johannes Doerfert

Proceedings of the Eighth IEEE/ACM Workshop on the LLVM Compiler Infrastructure in HPC, 2022

Breaking the Vendor Lock: Performance Portable Programming through OpenMP as Target Independent Runtime Layer.

Johannes Doerfert, Marc Jasper, Joseph Huber, Khaled Abdelaal, Giorgis Georgakoudis, Thomas Scogland, Konstantinos Parasyris

Proceedings of the International Conference on Parallel Architectures and Compilation Techniques, 2022

2021

Artificial neural networks for online error detection.

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

CoRR, 2021

Scrooge Attack: Undervolting ARM Processors for Profit.

Christian Göttel, Konstantinos Parasyris, Osman S. Unsal, Pascal Felber, Marcelo Pasin, Valerio Schiavoni

CoRR, 2021

Scrooge Attack: Undervolting ARM Processors for Profit: Practical experience report.

Christian Göttel, Konstantinos Parasyris, Osman S. Unsal, Pascal Felber, Marcelo Pasin, Valerio Schiavoni

Proceedings of the 40th International Symposium on Reliable Distributed Systems, 2021

HPAC: evaluating approximate computing techniques on HPC OpenMP applications.

Konstantinos Parasyris, Giorgis Georgakoudis, Harshitha Menon, James Diffenderfer, Ignacio Laguna, Daniel Osei-Kuffuor, Markus Schordan

Proceedings of the International Conference for High Performance Computing, 2021

Co-Designing Multi-Level Checkpoint Restart for MPI Applications.

Konstantinos Parasyris, Giorgis Georgakoudis, Leonardo Bautista-Gomez, Ignacio Laguna

Proceedings of the 21st IEEE/ACM International Symposium on Cluster, 2021

2020

Dynamic Undervolting to Improve Energy Efficiency on Multicore X86 CPUs.

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

IEEE Trans. Parallel Distributed Syst., 2020

HPC-MixPBench: An HPC Benchmark Suite for Mixed-Precision Analysis.

Konstantinos Parasyris, Ignacio Laguna, Harshitha Menon, Markus Schordan, Daniel Osei-Kuffuor, Giorgis Georgakoudis, Michael O. Lam, Tristan Vanderbruggen

Proceedings of the IEEE International Symposium on Workload Characterization, 2020

MATCH: An MPI Fault Tolerance Benchmark Suite.

Luanzheng Guo, Giorgis Georgakoudis, Konstantinos Parasyris, Ignacio Laguna, Dong Li

Proceedings of the IEEE International Symposium on Workload Characterization, 2020

Design and Study of Elastic Recovery in HPC Applications.

Kai Keller, Konstantinos Parasyris, Leonardo Bautista-Gomez

Proceedings of the 27th IEEE International Conference on High Performance Computing, 2020

LEGaTO: Low-Energy, Secure, and Resilient Toolset for Heterogeneous Computing.

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, Seyed Saber Nabavi Larimi, 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, 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, Marcelo Pasin, Valerio Schiavoni, Isabelly Rocha, Christian Göttel, Pascal Felber

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

Checkpoint Restart Support for Heterogeneous HPC Applications.

Konstantinos Parasyris, Kai Keller, Leonardo Bautista-Gomez, Osman S. Unsal

Proceedings of the 20th IEEE/ACM International Symposium on Cluster, 2020

2019

LEGaTO: Low-Energy, Secure, and Resilient Toolset for Heterogeneous Computing.

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

CoRR, 2019

Hardware Versus Software Fault Injection of Modern Undervolted SRAMs.

Muhammet Abdullah Soytürk, Konstantinos Parasyris, Behzad Salami, Osman S. Unsal, Gulay Yalcin, Leonardo Bautista-Gomez

CoRR, 2019

2018

System software techniques to enhance reliability of modern platforms

Konstantinos Parasyris

PhD thesis, 2018

Exploring the Effects of Code Optimizations on CPU Frequency Margins.

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

Proceedings of the High Performance Computing, 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

ALEA: A Fine-Grained Energy Profiling Tool.

Lev Mukhanov, Pavlos Petoumenos, Zheng Wang, Konstantinos Parasyris, Dimitrios S. Nikolopoulos, Bronis R. de Supinski, Hugh Leather

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

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

2014

GemFI: A Fault Injection Tool for Studying the Behavior of Applications on Unreliable Substrates.

Konstantinos Parasyris, Georgios Tziantzoulis, Christos D. Antonopoulos, Nikolaos Bellas

Proceedings of the 44th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2014