An automated OpenMP mutation testing framework for performance optimization von Miao, Dolores, Laguna, Ignacio, Georgakoudis, Giorgis, Parasyris, Konstantinos, Rubio-González, Cindy

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Dynamic Undervolting to Improve Energy Efficiency on Multicore X86 CPUs von Koutsovasilis, Panos, Parasyris, Konstantinos, Antonopoulos, Christos D., Bellas, Nikolaos, Lalis, Spyros

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Insights into unique features of Drosophila CYP4G enzymes von Kefi, Mary, Konstantinos, Parasyris, Balabanidou, Vasileia, Sarafoglou, Chara, Tsakireli, Dimitra, Douris, Vassilis, Monastirioti, Maria, Maréchal, Jean-Didier, Feyereisen, René, Vontas, John

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3D-printed Point-of-Care Platform for Genetic Testing of Infectious Diseases Directly in Human Samples Using Acoustic Sensors and a Smartphone von Papadakis, George, Pantazis, Alexandros K, Ntogka, Maria, Parasyris, Konstantinos, Theodosi, Gesthimani-Ioanna, Kaprou, Georgia, Gizeli, Electra

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Approximate High-Performance Computing: A Fast and Energy-Efficient Computing Paradigm in the Post-Moore Era von Menon, Harshitha, Diffenderfer, James, Georgakoudis, Giorgis, Laguna, Ignacio, Lam, Michael O., Osei-Kuffuor, Daniel, Parasyris, Konstantinos, Vanover, Jackson, Schordan, Markus

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Significance-Aware Program Execution on Unreliable Hardware von Parasyris, Konstantinos, Vassiliadis, Vassilis, Antonopoulos, Christos D., Lalis, Spyros, Bellas, Nikolaos

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Exploiting Significance of Computations for Energy-Constrained Approximate Computing von Vassiliadis, Vassilis, Chalios, Charalampos, Parasyris, Konstantinos, Antonopoulos, Christos D., Lalis, Spyros, Bellas, Nikolaos, Vandierendonck, Hans, Nikolopoulos, Dimitrios S.

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Exploring the Effects of Code Optimizations on CPU Frequency Margins von Parasyris, Konstantinos, Bellas, Nikolaos, Antonopoulos, Christos D., Lalis, Spyros

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Adversarial Robustness Limits via Scaling-Law and Human-Alignment Studies von Bartoldson, Brian R, Diffenderfer, James, Parasyris, Konstantinos, Kailkhura, Bhavya

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HPAC-Offload: Accelerating HPC Applications with Portable Approximate Computing on the GPU von Fink, Zane, Parasyris, Konstantinos, Georgakoudis, Giorgis, Menon, Harshitha

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Testing the Unknown: A Framework for OpenMP Testing via Random Program Generation von Laguna, Ignacio, Chapman, Patrick, Parasyris, Konstantinos, Georgakoudis, Giorgis, Rubio-González, Cindy

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HPAC-ML: A Programming Model for Embedding ML Surrogates in Scientific Applications von Fink, Zane, Parasyris, Konstantinos, Rathi, Praneet, Georgakoudis, Giorgis, Menon, Harshitha, Bremer, Peer-Timo

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Reliabuild: Searching for High-Fidelity Builds Using Active Learning von Menon, Harshitha, Parasyris, Konstantinos, Scogland, Tom, Gamblin, Todd

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Taking GPU Programming Models to Task for Performance Portability von Davis, Joshua H, Sivaraman, Pranav, Kitson, Joy, Parasyris, Konstantinos, Menon, Harshitha, Minn, Isaac, Georgakoudis, Giorgis, Bhatele, Abhinav

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Machine Learning-Driven Adaptive OpenMP For Portable Performance on Heterogeneous Systems von Georgakoudis, Giorgis, Parasyris, Konstantinos, Liao, Chunhua, Beckingsale, David, Gamblin, Todd, de Supinski, Bronis

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DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training von Chen, Aochuan, Zhang, Yimeng, Jia, Jinghan, Diffenderfer, James, Liu, Jiancheng, Parasyris, Konstantinos, Zhang, Yihua, Zhang, Zheng, Kailkhura, Bhavya, Liu, Sijia

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MATCH: An MPI Fault Tolerance Benchmark Suite von Guo, Luanzheng, Georgakoudis, Giorgis, Parasyris, Konstantinos, Laguna, Ignacio, Li, Dong

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Scrooge Attack: Undervolting ARM Processors for Profit von Göttel, Christian, Parasyris, Konstantinos, Unsal, Osman, Felber, Pascal, Pasin, Marcelo, Schiavoni, Valerio

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Adversarial Robustness Limits via Scaling-Law and Human-Alignment Studies von Bartoldson, Brian R, Diffenderfer, James, Parasyris, Konstantinos, Kailkhura, Bhavya

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ComPile: A Large IR Dataset from Production Sources von Grossman, Aiden, Paehler, Ludger, Parasyris, Konstantinos, Ben-Nun, Tal, Hegna, Jacob, Moses, William, Diaz, Jose M Monsalve, Trofin, Mircea, Doerfert, Johannes

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