GemFI: A Fault Injection Tool for Studying the Behavior of Applications on Unreliable Substrates. - Konstantinos Parasyris; Georgios Tziantzoulis; Christos D. Antonopoulos; Nikolaos Bellas (DSN, 2014)

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 (Conf. Computing Frontiers, 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 (PPoPP, 2015)

Towards automatic significance analysis for approximate computing. - Vassilis Vassiliadis; Jan Riehme; Jens Deussen; Konstantinos Parasyris; Christos D. Antonopoulos; Nikolaos Bellas; Spyros Lalis; Uwe Naumann (CGO, 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)

ALEA: A Fine-Grained Energy Profiling Tool. - Lev Mukhanov; Pavlos Petoumenos; Zheng Wang 001; Konstantinos Parasyris; Dimitrios S. Nikolopoulos; Bronis R. de Supinski; Hugh Leather (ACM Trans. Archit. Code Optim., 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)

A Framework for Evaluating Software on Reduced Margins Hardware. - Konstantinos Parasyris; Panos K. Koutsovasilis; Vassilis Vassiliadis; Christos D. Antonopoulos; Nikolaos Bellas; Spyros Lalis (DSN, 2018)

Exploring the Effects of Code Optimizations on CPU Frequency Margins. - Konstantinos Parasyris; Nikolaos Bellas; Christos D. Antonopoulos; Spyros Lalis (ISC Workshops, 2018)

System software techniques to enhance reliability of modern platforms - Konstantinos Parasyris (2018)

Hardware Versus Software Fault Injection of Modern Undervolted SRAMs. - Muhammet Abdullah Soytürk; Konstantinos Parasyris; Behzad Salami 001; Osman S. Unsal; Gulay Yalcin; Leonardo Bautista-Gomez (CoRR, 2019)

LEGaTO: Low-Energy, Secure, and Resilient Toolset for Heterogeneous Computing. - Behzad Salami 001; Konstantinos Parasyris; Adrián Cristal; Osman S. Unsal; Xavier Martorell; Paul Carpenter; Raúl de la Cruz; Leonardo Bautista-Gomez; Daniel A. Jiménez; Carlos Álvarez 001; S. Nabavi; Sergi Madonar; et al. (CoRR, 2019)

Checkpoint Restart Support for Heterogeneous HPC Applications. - Konstantinos Parasyris; Kai Keller; Leonardo Bautista-Gomez; Osman S. Unsal (CCGRID, 2020)

LEGaTO: Low-Energy, Secure, and Resilient Toolset for Heterogeneous Computing. - Behzad Salami 001; Konstantinos Parasyris; Adrián Cristal; Osman S. Unsal; Xavier Martorell; Paul Carpenter; Raúl de la Cruz; Leonardo Bautista-Gomez; Daniel A. Jiménez; Carlos Álvarez 001; Seyed Saber Nabavi Larimi; Sergi Madonar; et al. (DATE, 2020)

Design and Study of Elastic Recovery in HPC Applications. - Kai Keller; Konstantinos Parasyris; Leonardo Bautista-Gomez (HiPC, 2020)

MATCH: An MPI Fault Tolerance Benchmark Suite. - Luanzheng Guo; Giorgis Georgakoudis; Konstantinos Parasyris; Ignacio Laguna; Dong Li 001 (IISWC, 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 (IISWC, 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)

Co-Designing Multi-Level Checkpoint Restart for MPI Applications. - Konstantinos Parasyris; Giorgis Georgakoudis; Leonardo Bautista-Gomez; Ignacio Laguna (CCGRID, 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 (SC, 2021)

Scrooge Attack: Undervolting ARM Processors for Profit: Practical experience report. - Christian Göttel; Konstantinos Parasyris; Osman S. Unsal; Pascal Felber; Marcelo Pasin; Valerio Schiavoni (SRDS, 2021)

Scrooge Attack: Undervolting ARM Processors for Profit. - Christian Göttel; Konstantinos Parasyris; Osman S. Unsal; Pascal Felber; Marcelo Pasin; Valerio Schiavoni (CoRR, 2021)

Artificial neural networks for online error detection. - Vassilis Vassiliadis; Konstantinos Parasyris; Christos D. Antonopoulos; Spyros Lalis; Nikolaos Bellas (CoRR, 2021)

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 (PACT, 2022)

Direct GPU Compilation and Execution for Host Applications with OpenMP Parallelism. - Shilei Tian; Joseph Huber; Konstantinos Parasyris; Barbara M. Chapman; Johannes Doerfert (LLVM-HPC@SC, 2022)

Searching for High-Fidelity Builds Using Active Learning. - Harshitha Menon; Konstantinos Parasyris; Tom Scogland; Todd Gamblin (MSR, 2022)

Piper: Pipelining OpenMP Offloading Execution Through Compiler Optimization For Performance. - Konstantinos Parasyris; Giorgis Georgakoudis; Johannes Doerfert; Ignacio Laguna; Thomas R. W. Scogland (P3HPC@SC, 2022)

Approximate Computing Through the Lens of Uncertainty Quantification. - Konstantinos Parasyris; James Diffenderfer; Harshitha Menon; Ignacio Laguna; Jackson Vanover; Ryan Vogt; Daniel Osei-Kuffuor (SC, 2022)

Reliabuild: Searching for High-Fidelity Builds Using Active Learning. - Harshitha Menon; Konstantinos Parasyris; Tom Scogland; Todd Gamblin (CoRR, 2022)

HPAC-Offload: Accelerating HPC Applications with Portable Approximate Computing on the GPU. - Zane Fink; Konstantinos Parasyris; Giorgis Georgakoudis; Harshitha Menon (SC, 2023)

Scalable Tuning of (OpenMP) GPU Applications via Kernel Record and Replay. - Konstantinos Parasyris; Giorgis Georgakoudis; Esteban Rangel; Ignacio Laguna; Johannes Doerfert (SC, 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)

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)

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)

Enhancing Performance Through Control-Flow Unmerging and Loop Unrolling on GPUs. - Alnis Murtovi; Giorgis Georgakoudis; Konstantinos Parasyris; Chunhua Liao; Ignacio Laguna; Bernhard Steffen (CGO, 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 005; Bhavya Kailkhura; Sijia Liu 001 (ICLR, 2024)

Adversarial Robustness Limits via Scaling-Law and Human-Alignment Studies. - Brian R. Bartoldson; James Diffenderfer; Konstantinos Parasyris; Bhavya Kailkhura (ICML, 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 (IPDPS (Workshops), 2024)

MUPPET: Optimizing Performance in OpenMP via Mutation Testing. - Dolores Miao; Ignacio Laguna; Giorgis Georgakoudis; Konstantinos Parasyris; Cindy Rubio-González (PMAM@PPoPP, 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 (SC, 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 (SC Workshops, 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)

An automated OpenMP mutation testing framework for performance optimization. - Dolores Miao; Ignacio Laguna; Giorgis Georgakoudis; Konstantinos Parasyris; Cindy Rubio-González (Parallel Comput., 2024)

Proteus: Portable Runtime Optimization of GPU Kernel Execution with Just-in-Time Compilation. - Giorgis Georgakoudis; Konstantinos Parasyris; David Beckingsale (CGO, 2025)

LM-Offload: Performance Model-Guided Generative Inference of Large Language Models with Parallelism Control. - Jianbo Wu; Jie Ren 015; Shuangyan Yang; Konstantinos Parasyris; Giorgis Georgakoudis; Ignacio Laguna; Dong Li 001 (IPDPS (Workshops), 2025)

Enabling Lightweight Performance Analysis of Complex Scientific Workflows with PerfFlowAspect. - Aliza Lisan; Tapasya Patki; Stephanie Brink; Konstantinos Parasyris; Brian Gunnarson; Giorgis Georgakoudis; Hank Childs (SSDBM, 2025)

GORC: A Graph Neural Network Based Static Data Race Checker for OpenMP. - Anh Tran; Ignacio Laguna; Konstantinos Parasyris; Giorgis Georgakoudis; Ganesh Gopalakrishnan (ISC, 2025)

Can Large Language Models Predict Parallel Code Performance? - Gregory Bolet; Giorgis Georgakoudis; Harshitha Menon; Konstantinos Parasyris; Niranjan Hasabnis; Hayden Estes; Kirk W. Cameron; Gal Oren 001 (CoRR, 2025)

Leveraging AI for Productive and Trustworthy HPC Software: Challenges and Research Directions. - 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; et al. (CoRR, 2025)

Modeling Code: Is Text All You Need? - Daniel Nichols; Konstantinos Parasyris; Harshitha Menon; Brian R. Bartoldson; Giorgis Georgakoudis; Tal Ben-Nun; Abhinav Bhatele (CoRR, 2025)