Konstantinos Parasyris

65 papers A* 2A 14B 6C 2Misc 1Journal 28Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Can Large Language Models Predict Parallel Code Performance? HPDC Gregory Bolet, Giorgis Georgakoudis, Harshitha Menon, Konstantinos Parasyris, Niranjan Hasabnis, Hayden Estes, Kirk W. Cameron, Gal Oren
2025	J	`jnl`	Can Large Language Models Predict Parallel Code Performance? CoRR Gregory Bolet, Giorgis Georgakoudis, Harshitha Menon, Konstantinos Parasyris, Niranjan Hasabnis, Hayden Estes, Kirk W. Cameron, Gal Oren
2025	J	`jnl`	Counting Without Running: Evaluating LLMs' Reasoning About Code Complexity. CoRR Gregory Bolet, Giorgis Georgakoudis, Konstantinos Parasyris, Harshitha Menon, Niranjan Hasabnis, Kirk W. Cameron, Gal Oren
2025	B	`conf`	Enabling Lightweight Performance Analysis of Complex Scientific Workflows with PerfFlowAspect. SSDBM Aliza Lisan, Tapasya Patki, Stephanie Brink, Konstantinos Parasyris, Brian Gunnarson, Giorgis Georgakoudis, Hank Childs
2025	—	`conf`	Extending RAJA Parallel Programming Abstractions with Just-In-Time Optimization. SC Workshops John Bowen, Konstantinos Parasyris, David Beckingsale, Tal Ben-Nun, Thomas Stitt, Giorgis Georgakoudis
2025	C	`conf`	GORC: A Graph Neural Network Based Static Data Race Checker for OpenMP. ISC Anh Tran, Ignacio Laguna, Konstantinos Parasyris, Giorgis Georgakoudis, Ganesh Gopalakrishnan
2025	J	`jnl`	Integrating Performance Tools in Model Reasoning for GPU Kernel Optimization. CoRR Daniel Nichols, Konstantinos Parasyris, Charles F. Jekel, Abhinav Bhatele, Harshitha Menon
2025	J	`jnl`	LLMs as Packagers of HPC Software. CoRR Caetano Melone, Daniel Nichols, Konstantinos Parasyris, Todd Gamblin, Harshitha Menon
2025	—	`conf`	LM-Offload: Performance Model-Guided Generative Inference of Large Language Models with Parallelism Control. IPDPS (Workshops) Jianbo Wu, Jie Ren, Shuangyan Yang, Konstantinos Parasyris, Giorgis Georgakoudis, Ignacio Laguna, Dong Li
2025	C	`conf`	Leveraging AI for Productive and Trustworthy HPC Software: Challenges and Research Directions. ISC Keita Teranishi, Harshitha Menon, William F. Godoy, Prasanna Balaprakash, David Bau, Tal Ben-Nun, Abhinav Bhatele, Franz Franchetti, Michael E. Franusich, Todd Gamblin, Giorgis Georgakoudis, Tom Goldstein, Arjun Guha, Steven E. Hahn, Costin Iancu, Zheming Jin, Terry R. Jones, Tze Meng Low, Het Mankad, Narasinga Rao Miniskar, Mohammad Alaul Haque Monil, Daniel Nichols, Konstantinos Parasyris, Swaroop Pophale, Pedro Valero-Lara, Jeffrey S. Vetter, Samuel Williams, Aaron R. Young
2025	J	`jnl`	Leveraging AI for Productive and Trustworthy HPC Software: Challenges and Research Directions. CoRR Keita Teranishi, Harshitha Menon, William F. Godoy, Prasanna Balaprakash, David Bau, Tal Ben-Nun, Abhinav Bhatele, Franz Franchetti, Michael E. Franusich, Todd Gamblin, Giorgis Georgakoudis, Tom Goldstein, Arjun Guha, Steven E. Hahn, Costin Iancu, Zheming Jin, Terry R. Jones, Tze Meng Low, Het Mankad, Narasinga Rao Miniskar, Mohammad Alaul Haque Monil, Daniel Nichols, Konstantinos Parasyris, Swaroop Pophale, Pedro Valero-Lara, Jeffrey S. Vetter, Samuel Williams, Aaron R. Young
2025	J	`jnl`	Modeling Code: Is Text All You Need? CoRR Daniel Nichols, Konstantinos Parasyris, Harshitha Menon, Brian R. Bartoldson, Giorgis Georgakoudis, Tal Ben-Nun, Abhinav Bhatele
2025	A	`conf`	Proteus: Portable Runtime Optimization of GPU Kernel Execution with Just-in-Time Compilation. CGO Giorgis Georgakoudis, Konstantinos Parasyris, David Beckingsale
2025	A	`conf`	Taking GPU Programming Models to Task for Performance Portability. ICS Joshua Hoke Davis, Pranav Sivaraman, Joy Kitson, Konstantinos Parasyris, Harshitha Menon, Isaac Minn, Giorgis Georgakoudis, Abhinav Bhatele
2024	A*	`conf`	Adversarial Robustness Limits via Scaling-Law and Human-Alignment Studies. ICML Brian R. Bartoldson, James Diffenderfer, Konstantinos Parasyris, Bhavya Kailkhura
2024	J	`jnl`	Adversarial Robustness Limits via Scaling-Law and Human-Alignment Studies. CoRR Brian R. Bartoldson, James Diffenderfer, Konstantinos Parasyris, Bhavya Kailkhura
2024	J	`jnl`	An Evaluative Comparison of Performance Portability across GPU Programming Models. CoRR Joshua Hoke Davis, Pranav Sivaraman, Isaac Minn, Konstantinos Parasyris, Harshitha Menon, Giorgis Georgakoudis, Abhinav Bhatele
2024	—	`conf`	An Exploration of Global Optimization Strategies for Autotuning OpenMP-based Codes. IPDPS (Workshops) Gregory Bolet, Giorgis Georgakoudis, Konstantinos Parasyris, Kirk W. Cameron, David Beckingsale, Todd Gamblin
2024	J	`jnl`	An automated OpenMP mutation testing framework for performance optimization. Parallel Comput. Dolores Miao, Ignacio Laguna, Giorgis Georgakoudis, Konstantinos Parasyris, Cindy Rubio-González
2024	J	`jnl`	ComPile: A Large IR Dataset from Production Sources. J. Data-centric Mach. Learn. Res. Aiden Grossman, Ludger Paehler, Konstantinos Parasyris, Tal Ben-Nun, Jacob Hegna, William S. Moses, Jose Manuel Monsalve Diaz, Mircea Trofin, Johannes Doerfert
2024	A*	`conf`	DeepZero: Scaling Up Zeroth-Order Optimization for Deep Model Training. ICLR Aochuan Chen, Yimeng Zhang, Jinghan Jia, James Diffenderfer, Konstantinos Parasyris, Jiancheng Liu, Yihua Zhang, Zheng Zhang, Bhavya Kailkhura, Sijia Liu
2024	A	`conf`	Enhancing Performance Through Control-Flow Unmerging and Loop Unrolling on GPUs. CGO Alnis Murtovi, Giorgis Georgakoudis, Konstantinos Parasyris, Chunhua Liao, Ignacio Laguna, Bernhard Steffen
2024	A	`conf`	HPAC-ML: A Programming Model for Embedding ML Surrogates in Scientific Applications. SC Zane Fink, Konstantinos Parasyris, Praneet Rathi, Giorgis Georgakoudis, Harshitha Menon, Peer-Timo Bremer
2024	J	`jnl`	HPAC-ML: A Programming Model for Embedding ML Surrogates in Scientific Applications. CoRR Zane Fink, Konstantinos Parasyris, Praneet Rathi, Giorgis Georgakoudis, Harshitha Menon, Peer-Timo Bremer
2024	—	`conf`	MUPPET: Optimizing Performance in OpenMP via Mutation Testing. PMAM@PPoPP Dolores Miao, Ignacio Laguna, Giorgis Georgakoudis, Konstantinos Parasyris, Cindy Rubio-González
2024	—	`conf`	Testing the Unknown: A Framework for OpenMP Testing via Random Program Generation. SC Workshops Ignacio Laguna, Patrick J. Chapman, Konstantinos Parasyris, Giorgis Georgakoudis, Cindy Rubio-González
2024	J	`jnl`	Testing the Unknown: A Framework for OpenMP Testing via Random Program Generation. CoRR Ignacio Laguna, Patrick J. Chapman, Konstantinos Parasyris, Giorgis Georgakoudis, Cindy Rubio-González
2023	J	`jnl`	Approximate High-Performance Computing: A Fast and Energy-Efficient Computing Paradigm in the Post-Moore Era. IT Prof. Harshitha Menon, James Diffenderfer, Giorgis Georgakoudis, Ignacio Laguna, Michael O. Lam, Daniel Osei-Kuffuor, Konstantinos Parasyris, Jackson Vanover
2023	J	`jnl`	ComPile: A Large IR Dataset from Production Sources. CoRR Aiden Grossman, Ludger Paehler, Konstantinos Parasyris, Tal Ben-Nun, Jacob Hegna, William S. Moses, Jose Manuel Monsalve Diaz, Mircea Trofin, Johannes Doerfert
2023	J	`jnl`	DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training. CoRR Aochuan Chen, Yimeng Zhang, Jinghan Jia, James Diffenderfer, Jiancheng Liu, Konstantinos Parasyris, Yihua Zhang, Zheng Zhang, Bhavya Kailkhura, Sijia Liu
2023	A	`conf`	HPAC-Offload: Accelerating HPC Applications with Portable Approximate Computing on the GPU. SC Zane Fink, Konstantinos Parasyris, Giorgis Georgakoudis, Harshitha Menon
2023	J	`jnl`	HPAC-Offload: Accelerating HPC Applications with Portable Approximate Computing on the GPU. CoRR Zane Fink, Konstantinos Parasyris, Giorgis Georgakoudis, Harshitha Menon
2023	J	`jnl`	Machine Learning-Driven Adaptive OpenMP For Portable Performance on Heterogeneous Systems. CoRR Giorgis Georgakoudis, Konstantinos Parasyris, Chunhua Liao, David Beckingsale, Todd Gamblin, Bronis R. de Supinski
2023	A	`conf`	Scalable Tuning of (OpenMP) GPU Applications via Kernel Record and Replay. SC Konstantinos Parasyris, Giorgis Georgakoudis, Esteban Rangel, Ignacio Laguna, Johannes Doerfert
2022	A	`conf`	Approximate Computing Through the Lens of Uncertainty Quantification. SC Konstantinos Parasyris, James Diffenderfer, Harshitha Menon, Ignacio Laguna, Jackson Vanover, Ryan Vogt, Daniel Osei-Kuffuor
2022	B	`conf`	Breaking the Vendor Lock: Performance Portable Programming through OpenMP as Target Independent Runtime Layer. PACT Johannes Doerfert, Marc Jasper, Joseph Huber, Khaled Abdelaal, Giorgis Georgakoudis, Thomas Scogland, Konstantinos Parasyris
2022	—	`conf`	Direct GPU Compilation and Execution for Host Applications with OpenMP Parallelism. LLVM-HPC@SC Shilei Tian, Joseph Huber, Konstantinos Parasyris, Barbara M. Chapman, Johannes Doerfert
2022	—	`conf`	Piper: Pipelining OpenMP Offloading Execution Through Compiler Optimization For Performance. P3HPC@SC Konstantinos Parasyris, Giorgis Georgakoudis, Johannes Doerfert, Ignacio Laguna, Thomas R. W. Scogland
2022	J	`jnl`	Reliabuild: Searching for High-Fidelity Builds Using Active Learning. CoRR Harshitha Menon, Konstantinos Parasyris, Tom Scogland, Todd Gamblin
2022	A	`conf`	Searching for High-Fidelity Builds Using Active Learning. MSR Harshitha Menon, Konstantinos Parasyris, Tom Scogland, Todd Gamblin
2021	J	`jnl`	Artificial neural networks for online error detection. CoRR Vassilis Vassiliadis, Konstantinos Parasyris, Christos D. Antonopoulos, Spyros Lalis, Nikolaos Bellas
2021	B	`conf`	Co-Designing Multi-Level Checkpoint Restart for MPI Applications. CCGRID Konstantinos Parasyris, Giorgis Georgakoudis, Leonardo Bautista-Gomez, Ignacio Laguna
2021	A	`conf`	HPAC: evaluating approximate computing techniques on HPC OpenMP applications. SC Konstantinos Parasyris, Giorgis Georgakoudis, Harshitha Menon, James Diffenderfer, Ignacio Laguna, Daniel Osei-Kuffuor, Markus Schordan
2021	J	`jnl`	MATCH: An MPI Fault Tolerance Benchmark Suite. CoRR Luanzheng Guo, Giorgis Georgakoudis, Konstantinos Parasyris, Ignacio Laguna, Dong Li
2021	J	`jnl`	Scrooge Attack: Undervolting ARM Processors for Profit. CoRR Christian Göttel, Konstantinos Parasyris, Osman S. Unsal, Pascal Felber, Marcelo Pasin, Valerio Schiavoni
2021	B	`conf`	Scrooge Attack: Undervolting ARM Processors for Profit: Practical experience report. SRDS Christian Göttel, Konstantinos Parasyris, Osman S. Unsal, Pascal Felber, Marcelo Pasin, Valerio Schiavoni
2020	B	`conf`	Checkpoint Restart Support for Heterogeneous HPC Applications. CCGRID Konstantinos Parasyris, Kai Keller, Leonardo Bautista-Gomez, Osman S. Unsal
2020	Misc	`conf`	Design and Study of Elastic Recovery in HPC Applications. HiPC Kai Keller, Konstantinos Parasyris, Leonardo Bautista-Gomez
2020	J	`jnl`	Dynamic Undervolting to Improve Energy Efficiency on Multicore X86 CPUs. IEEE Trans. Parallel Distributed Syst. Panos K. Koutsovasilis, Konstantinos Parasyris, Christos D. Antonopoulos, Nikolaos Bellas, Spyros Lalis
2020	—	`conf`	HPC-MixPBench: An HPC Benchmark Suite for Mixed-Precision Analysis. IISWC Konstantinos Parasyris, Ignacio Laguna, Harshitha Menon, Markus Schordan, Daniel Osei-Kuffuor, Giorgis Georgakoudis, Michael O. Lam, Tristan Vanderbruggen
2020	A	`conf`	LEGaTO: Low-Energy, Secure, and Resilient Toolset for Heterogeneous Computing. DATE 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
2020	—	`conf`	MATCH: An MPI Fault Tolerance Benchmark Suite. IISWC Luanzheng Guo, Giorgis Georgakoudis, Konstantinos Parasyris, Ignacio Laguna, Dong Li
2019	J	`jnl`	Hardware Versus Software Fault Injection of Modern Undervolted SRAMs. CoRR Muhammet Abdullah Soytürk, Konstantinos Parasyris, Behzad Salami, Osman S. Unsal, Gulay Yalcin, Leonardo Bautista-Gomez
2019	J	`jnl`	LEGaTO: Low-Energy, Secure, and Resilient Toolset for Heterogeneous Computing. CoRR 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
2018	A	`conf`	A Framework for Evaluating Software on Reduced Margins Hardware. DSN Konstantinos Parasyris, Panos K. Koutsovasilis, Vassilis Vassiliadis, Christos D. Antonopoulos, Nikolaos Bellas, Spyros Lalis
2018	—	`conf`	Exploring the Effects of Code Optimizations on CPU Frequency Margins. ISC Workshops Konstantinos Parasyris, Nikolaos Bellas, Christos D. Antonopoulos, Spyros Lalis
2018	—	`—`	System software techniques to enhance reliability of modern platforms Konstantinos Parasyris
2017	J	`jnl`	ALEA: A Fine-Grained Energy Profiling Tool. ACM Trans. Archit. Code Optim. Lev Mukhanov, Pavlos Petoumenos, Zheng Wang, Konstantinos Parasyris, Dimitrios S. Nikolopoulos, Bronis R. de Supinski, Hugh Leather
2017	J	`jnl`	Significance-Aware Program Execution on Unreliable Hardware. ACM Trans. Archit. Code Optim. Konstantinos Parasyris, Vassilis Vassiliadis, Christos D. Antonopoulos, Spyros Lalis, Nikolaos Bellas
2016	J	`jnl`	Exploiting Significance of Computations for Energy-Constrained Approximate Computing. Int. J. Parallel Program. Vassilis Vassiliadis, Charalampos Chalios, Konstantinos Parasyris, Christos D. Antonopoulos, Spyros Lalis, Nikolaos Bellas, Hans Vandierendonck, Dimitrios S. Nikolopoulos
2016	A	`conf`	Towards automatic significance analysis for approximate computing. CGO Vassilis Vassiliadis, Jan Riehme, Jens Deussen, Konstantinos Parasyris, Christos D. Antonopoulos, Nikolaos Bellas, Spyros Lalis, Uwe Naumann
2015	B	`conf`	A programming model and runtime system for significance-aware energy-efficient computing. PPoPP Vassilis Vassiliadis, Konstantinos Parasyris, Charalambos Chalios, Christos D. Antonopoulos, Spyros Lalis, Nikolaos Bellas, Hans Vandierendonck, Dimitrios S. Nikolopoulos
2015	—	`conf`	A significance-driven programming framework for energy-constrained approximate computing. Conf. Computing Frontiers Vassilis Vassiliadis, Charalampos Chalios, Konstantinos Parasyris, Christos D. Antonopoulos, Spyros Lalis, Nikolaos Bellas, Hans Vandierendonck, Dimitrios S. Nikolopoulos
2014	J	`jnl`	A Programming Model and Runtime System for Significance-Aware Energy-Efficient Computing. CoRR Vassilis Vassiliadis, Konstantinos Parasyris, Charalambos Chalios, Christos D. Antonopoulos, Spyros Lalis, Nikolaos Bellas, Hans Vandierendonck, Dimitrios S. Nikolopoulos
2014	A	`conf`	GemFI: A Fault Injection Tool for Studying the Behavior of Applications on Unreliable Substrates. DSN Konstantinos Parasyris, Georgios Tziantzoulis, Christos D. Antonopoulos, Nikolaos Bellas