Forward Message Passing Detector for Probe Storage. - Thomas P. Parnell; Haralampos Pozidis; Oleg V. Zaboronski (ICC, 2008)

Performance Evaluation of the Probe Storage Channel. - Thomas P. Parnell; Haralampos Pozidis; Oleg V. Zaboronski (GLOBECOM, 2009)

Information theory of massively parallel probe storage channels - Oliver Hambrey; Thomas P. Parnell; Oleg V. Zaboronski (CoRR, 2011)

Information Storage and Retrieval for Probe Storage using Optical Diffraction Patterns - Joost Van Honschoten; Henri de Jong; Wabe W. Koelmans; Thomas P. Parnell; Oleg V. Zaboronski (CoRR, 2011)

Modelling of the threshold voltage distributions of sub-20nm NAND flash memory. - Thomas P. Parnell; Nikolaos Papandreou; Thomas Mittelholzer; Haralampos Pozidis (GLOBECOM, 2014)

Using adaptive read voltage thresholds to enhance the reliability of MLC NAND flash memory systems. - Nikolaos Papandreou; Thomas P. Parnell; Haralampos Pozidis; Thomas Mittelholzer; Evangelos Eleftheriou; Charles Camp; Thomas Griffin; Gary A. Tressler; Andrew Walls (ACM Great Lakes Symposium on VLSI, 2014)

Endurance limits of MLC NAND flash. - Thomas P. Parnell; Celestine Dünner; Thomas Mittelholzer; Nikolaos Papandreou; Haralampos Pozidis (ICC, 2015)

Symmetry-based subproduct codes. - Thomas Mittelholzer; Thomas P. Parnell; Nikolaos Papandreou; Haralampos Pozidis (ISIT, 2015)

Performance of cell-to-cell interference mitigation in 1y-nm MLC flash memory. - Thomas P. Parnell; Nikolaos Papandreou; Thomas Mittelholzer; Haralampos Pozidis (NVMTS, 2015)

Enhancing the Reliability of MLC NAND Flash Memory Systems by Read Channel Optimization. - Nikolaos Papandreou; Thomas P. Parnell; Haralampos Pozidis; Thomas Mittelholzer; Evangelos Eleftheriou; Charles Camp; Thomas Griffin; Gary A. Tressler; Andrew Walls (ACM Trans. Design Autom. Electr. Syst., 2015)

Improving the error-floor performance of binary half-product codes. - Thomas Mittelholzer; Thomas P. Parnell; Nikolaos Papandreou; Haralampos Pozidis (ISITA, 2016)

High-Performance Distributed Machine Learning using Apache SPARK. - Celestine Dünner; Thomas P. Parnell; Kubilay Atasu; Manolis Sifalakis; Haralampos Pozidis (CoRR, 2016)

Capacity of the MLC NAND Flash Channel. - Thomas P. Parnell; Celestine Dünner; Thomas Mittelholzer; Nikolaos Papandreou (IEEE J. Sel. Areas Commun., 2016)

Linear-complexity relaxed word Mover's distance with GPU acceleration. - Kubilay Atasu; Thomas P. Parnell; Celestine Dünner; Manolis Sifalakis; Haralampos Pozidis; Vasileios Vasileiadis; Michail Vlachos; Cesar Berrospi; Abdel Labbi (IEEE BigData, 2017)

Understanding and optimizing the performance of distributed machine learning applications on apache spark. - Celestine Dünner; Thomas P. Parnell; Kubilay Atasu; Manolis Sifalakis; Haralampos Pozidis (IEEE BigData, 2017)

Scalable and Interpretable Product Recommendations via Overlapping Co-Clustering. - Reinhard Heckel; Michail Vlachos; Thomas P. Parnell; Celestine Dünner (ICDE, 2017)

High-Performance Recommender System Training Using Co-Clustering on CPU/GPU Clusters. - Kubilay Atasu; Thomas P. Parnell; Celestine Dünner; Michail Vlachos; Haralampos Pozidis (ICPP, 2017)

Large-Scale Stochastic Learning Using GPUs. - Thomas P. Parnell; Celestine Dünner; Kubilay Atasu; Manolis Sifalakis; Haris Pozidis (IPDPS Workshops, 2017)

Efficient Use of Limited-Memory Accelerators for Linear Learning on Heterogeneous Systems. - Celestine Dünner; Thomas P. Parnell; Martin Jaggi (NIPS, 2017)

From random block corruption to privilege escalation: A filesystem attack vector for rowhammer-like attacks. - Anil Kurmus; Nikolas Ioannou; Nikolaos Papandreou; Thomas P. Parnell (WOOT, 2017)

Temporal correlation detection using computational phase-change memory. - Abu Sebastian; Tomas Tuma; Nikolaos Papandreou; Manuel Le Gallo; Lukas Kull; Thomas P. Parnell; Evangelos Eleftheriou (CoRR, 2017)

Efficient Use of Limited-Memory Resources to Accelerate Linear Learning. - Celestine Dünner; Thomas P. Parnell; Martin Jaggi (CoRR, 2017)

Neuromorphic computing with multi-memristive synapses. - Irem Boybat; Manuel Le Gallo; S. R. Nandakumar; Timoleon Moraitis; Thomas P. Parnell; Tomas Tuma; Bipin Rajendran; Yusuf Leblebici; Abu Sebastian; Evangelos Eleftheriou (CoRR, 2017)

Introduction to ParLearning 2018. - Henri E. Bal; Arindam Pal 001; Azalia Mirhoseini; Thomas P. Parnell (IPDPS Workshops, 2018)

ParLearning 2018 Invited Talk 3. - Thomas P. Parnell (IPDPS Workshops, 2018)

Drift-Invariant Detection for Multilevel Phase-Change Memory. - Milos Stanisavljevic; Thomas Mittelholzer; Nikolaos Papandreou; Thomas P. Parnell; Haralampos Pozidis (ISCAS, 2018)

Snap ML: A Hierarchical Framework for Machine Learning. - Celestine Dünner; Thomas P. Parnell; Dimitrios Sarigiannis; Nikolas Ioannou; Andreea Anghel; Gummadi Ravi; Madhusudanan Kandasamy; Haralampos Pozidis (NeurIPS, 2018)

Snap ML: A Hierarchical Framework for Machine Learning. - Celestine Dünner; Thomas P. Parnell; Dimitrios Sarigiannis; Nikolas Ioannou; Andreea Anghel; Haralampos Pozidis (CoRR, 2018)

Benchmarking and Optimization of Gradient Boosted Decision Tree Algorithms. - Andreea Anghel; Nikolaos Papandreou; Thomas P. Parnell; Alessandro De Palma; Haralampos Pozidis (CoRR, 2018)

Parallel training of linear models without compromising convergence. - Nikolas Ioannou; Celestine Dünner; Kornilios Kourtis; Thomas P. Parnell (CoRR, 2018)

Elastic CoCoA: Scaling In to Improve Convergence. - Michael Kaufmann 005; Thomas P. Parnell; Kornilios Kourtis (CoRR, 2018)

Enabling 3D-TLC NAND Flash in Enterprise Storage Systems. - Roman A. Pletka; Nikolas Ioannou; Nikolaos Papandreou; Thomas P. Parnell; Sasa Tomic (ERCIM News, 2018)

Management of Next-Generation NAND Flash to Achieve Enterprise-Level Endurance and Latency Targets. - Roman A. Pletka; Ioannis Koltsidas; Nikolas Ioannou; Sasa Tomic; Nikolaos Papandreou; Thomas P. Parnell; Haralampos Pozidis; Aaron Fry; Tim Fisher (ACM Trans. Storage, 2018)

Characterization and Analysis of Bit Errors in 3D TLC NAND Flash Memory. - Nikolaos Papandreou; Haralampos Pozidis; Thomas P. Parnell; Nikolas Ioannou; Roman A. Pletka; Sasa Tomic; Patrick Breen; Gary A. Tressler; Aaron Fry; Timothy Fisher (IRPS, 2019)

SySCD: A System-Aware Parallel Coordinate Descent Algorithm. - Nikolas Ioannou; Celestine Mendler-Dünner; Thomas P. Parnell (NeurIPS, 2019)

Reliability of 3D NAND flash memory with a focus on read voltage calibration from a system aspect. - Nikolaos Papandreou; Nikolas Ioannou; Thomas P. Parnell; Roman A. Pletka; Milos Stanisavljevic; Radu Stoica; Sasa Tomic; Haralampos Pozidis (NVMTS, 2019)

Sampling Acquisition Functions for Batch Bayesian Optimization. - Alessandro De Palma; Celestine Mendler-Dünner; Thomas P. Parnell; Andreea Anghel; Haralampos Pozidis (CoRR, 2019)

5 Parallel Prism: A topology for pipelined implementations of convolutional neural networks using computational memory. - Martino Dazzi; Abu Sebastian; Pier Andrea Francese; Thomas P. Parnell; Luca Benini; Evangelos Eleftheriou (CoRR, 2019)

Addressing Algorithmic Bottlenecks in Elastic Machine Learning with Chicle. - Michael Kaufmann 005; Kornilios Kourtis; Celestine Mendler-Dünner; Adrian Schüpbach; Thomas P. Parnell (CoRR, 2019)

Learning to Tune XGBoost with XGBoost. - Johanna Sommer; Dimitrios Sarigiannis; Thomas P. Parnell (CoRR, 2019)

Breadth-first, Depth-next Training of Random Forests. - Andreea Anghel; Nikolas Ioannou; Thomas P. Parnell; Nikolaos Papandreou; Celestine Mendler-Dünner; Haris Pozidis (CoRR, 2019)

Addressing Interpretability and Cold-Start in Matrix Factorization for Recommender Systems. - Michail Vlachos; Celestine Dünner; Reinhard Heckel; Vassilios G. Vassiliadis; Thomas P. Parnell; Kubilay Atasu (IEEE Trans. Knowl. Data Eng., 2019)

Weighted Sampling for Combined Model Selection and Hyperparameter Tuning. - Dimitrios Sarigiannis; Thomas P. Parnell; Haralampos Pozidis (AAAI, 2020)

Open Block Characterization and Read Voltage Calibration of 3D QLC NAND Flash. - Nikolaos Papandreou; Haralampos Pozidis; Nikolas Ioannou; Thomas P. Parnell; Roman A. Pletka; Milos Stanisavljevic; Radu Stoica; Sasa Tomic; Patrick Breen; Gary A. Tressler; Aaron Fry; Timothy Fisher; et al. (IRPS, 2020)

SnapBoost: A Heterogeneous Boosting Machine. - Thomas P. Parnell; Andreea Anghel; Malgorzata Lazuka; Nikolas Ioannou; Sebastian Kurella; Peshal Agarwal; Nikolaos Papandreou; Haralampos Pozidis (NeurIPS, 2020)

MixBoost: A Heterogeneous Boosting Machine. - Thomas P. Parnell; Andreea Anghel; Malgorzata Lazuka; Nikolas Ioannou; Sebastian Kurella; Peshal Agarwal; Nikolaos Papandreou; Haralampos Pozidis (CoRR, 2020)

Tera-scale coordinate descent on GPUs. - Thomas P. Parnell; Celestine Dünner; Kubilay Atasu; Manolis Sifalakis; Haralampos Pozidis (Future Gener. Comput. Syst., 2020)

Differentially Private Stochastic Coordinate Descent. - Georgios Damaskinos; Celestine Mendler-Dünner; Rachid Guerraoui; Nikolaos Papandreou; Thomas P. Parnell (AAAI, 2021)

Towards a General Framework for ML-based Self-tuning Databases. - Thomas Schmied; Diego Didona; Andreas C. Döring; Thomas P. Parnell; Nikolas Ioannou (EuroMLSys@EuroSys, 2021)

Efficient Pipelined Execution of CNNs Based on In-Memory Computing and Graph Homomorphism Verification. - Martino Dazzi; Abu Sebastian; Thomas P. Parnell; Pier Andrea Francese; Luca Benini; Evangelos Eleftheriou (IEEE Trans. Computers, 2021)

Search-based Methods for Multi-Cloud Configuration. - Malgorzata Lazuka; Thomas P. Parnell; Andreea Anghel; Haralampos Pozidis (CLOUD, 2022)

xCloudServing: Automated ML Serving Across Clouds. - Malgorzata Lazuka; Andreea Anghel; Parikshit Ram; Haralampos Pozidis; Thomas P. Parnell (CLOUD, 2023)

Acceleration of Decision-Tree Ensemble Models on the IBM Telum Processor. - Nikolaos Papandreou; Jan van Lunteren; Andreea Anghel; Thomas P. Parnell; Martin Petermann; Milos Stanisavljevic; Cédric Lichtenau; Andrew Sica; Dominic Röhm; Elpida Tzortzatos; Haralampos Pozidis (ISCAS, 2023)

LLM-Pilot: Characterize and Optimize Performance of your LLM Inference Services. - Malgorzata Lazuka; Andreea Anghel; Thomas P. Parnell (SC, 2024)

Accelerating Production LLMs with Combined Token/Embedding Speculators. - Davis Wertheimer; Joshua Rosenkranz; Thomas P. Parnell; Sahil Suneja; Pavithra Ranganathan; Raghu K. Ganti; Mudhakar Srivatsa (CoRR, 2024)

GPU Performance Portability needs Autotuning. - Burkhard Ringlein; Thomas P. Parnell; Radu Stoica (CoRR, 2025)