Thomas P. Parnell

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 51

Top Topics

Product Recommendation

Convolutional Neural Networks

Top Venues

IPDPS Workshops

Publications

Davis Wertheimer, Joshua Rosenkranz, Thomas P. Parnell, Sahil Suneja, Pavithra Ranganathan, Raghu K. Ganti, Mudhakar Srivatsa
Accelerating Production LLMs with Combined Token/Embedding Speculators. CoRR (2024)
Nikolaos Papandreou, Jan van Lunteren, Andreea Anghel, Thomas P. Parnell, Martin Petermann, Milos Stanisavljevic, Cédric Lichtenau, Andrew Sica, Dominic Röhm, Elpida Tzortzatos, Haralampos Pozidis
Acceleration of Decision-Tree Ensemble Models on the IBM Telum Processor. ISCAS (2023)
Malgorzata Lazuka, Andreea Anghel, Parikshit Ram, Haralampos Pozidis, Thomas P. Parnell
xCloudServing: Automated ML Serving Across Clouds. CLOUD (2023)
Malgorzata Lazuka, Thomas P. Parnell, Andreea Anghel, Haralampos Pozidis
Search-based Methods for Multi-Cloud Configuration. CoRR (2022)
Malgorzata Lazuka, Thomas P. Parnell, Andreea Anghel, Haralampos Pozidis
Search-based Methods for Multi-Cloud Configuration. CLOUD (2022)
Thomas Schmied, Diego Didona, Andreas C. Döring, Thomas P. Parnell, Nikolas Ioannou
Towards a General Framework for ML-based Self-tuning Databases. EuroMLSys@EuroSys (2021)
Georgios Damaskinos, Celestine Mendler-Dünner, Rachid Guerraoui, Nikolaos Papandreou, Thomas P. Parnell
Differentially Private Stochastic Coordinate Descent. AAAI (2021)
Martino Dazzi, Abu Sebastian, Thomas P. Parnell, Pier Andrea Francese, Luca Benini, Evangelos Eleftheriou
Efficient Pipelined Execution of CNNs Based on In-Memory Computing and Graph Homomorphism Verification. IEEE Trans. Computers 70 (6) (2021)
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, Andrew Walls
Open Block Characterization and Read Voltage Calibration of 3D QLC NAND Flash. IRPS (2020)
Thomas P. Parnell, Celestine Dünner, Kubilay Atasu, Manolis Sifalakis, Haralampos Pozidis
Tera-scale coordinate descent on GPUs. Future Gener. Comput. Syst. 108 (2020)
Thomas P. Parnell, Andreea Anghel, Malgorzata Lazuka, Nikolas Ioannou, Sebastian Kurella, Peshal Agarwal, Nikolaos Papandreou, Haralampos Pozidis
MixBoost: A Heterogeneous Boosting Machine. CoRR (2020)
Dimitrios Sarigiannis, Thomas P. Parnell, Haralampos Pozidis
Weighted Sampling for Combined Model Selection and Hyperparameter Tuning. AAAI (2020)
Thomas P. Parnell, Andreea Anghel, Malgorzata Lazuka, Nikolas Ioannou, Sebastian Kurella, Peshal Agarwal, Nikolaos Papandreou, Haralampos Pozidis
SnapBoost: A Heterogeneous Boosting Machine. NeurIPS (2020)
Georgios Damaskinos, Celestine Mendler-Dünner, Rachid Guerraoui, Nikolaos Papandreou, Thomas P. Parnell
Differentially Private Stochastic Coordinate Descent. CoRR (2020)
Thomas Schmied, Diego Didona, Andreas C. Döring, Thomas P. Parnell, Nikolas Ioannou
Towards a General Framework for ML-based Self-tuning Databases. CoRR (2020)
Nikolaos Papandreou, Nikolas Ioannou, Thomas P. Parnell, Roman A. Pletka, Milos Stanisavljevic, Radu Stoica, Sasa Tomic, Haralampos Pozidis
Reliability of 3D NAND flash memory with a focus on read voltage calibration from a system aspect. NVMTS (2019)
Dimitrios Sarigiannis, Thomas P. Parnell, Haris Pozidis
Weighted Sampling for Combined Model Selection and Hyperparameter Tuning. CoRR (2019)
Michael Kaufmann, Kornilios Kourtis, Celestine Mendler-Dünner, Adrian Schüpbach, Thomas P. Parnell
Addressing Algorithmic Bottlenecks in Elastic Machine Learning with Chicle. CoRR (2019)
Nikolaos Papandreou, Haralampos Pozidis, Thomas P. Parnell, Nikolas Ioannou, Roman A. Pletka, Sasa Tomic, Patrick Breen, Gary A. Tressler, Aaron Fry, Timothy Fisher
Characterization and Analysis of Bit Errors in 3D TLC NAND Flash Memory. IRPS (2019)
Andreea Anghel, Nikolas Ioannou, Thomas P. Parnell, Nikolaos Papandreou, Celestine Mendler-Dünner, Haris Pozidis
Breadth-first, Depth-next Training of Random Forests. CoRR (2019)
Johanna Sommer, Dimitrios Sarigiannis, Thomas P. Parnell
Learning to Tune XGBoost with XGBoost. CoRR (2019)
Nikolas Ioannou, Celestine Mendler-Dünner, Thomas P. Parnell
SySCD: A System-Aware Parallel Coordinate Descent Algorithm. NeurIPS (2019)
Alessandro De Palma, Celestine Mendler-Dünner, Thomas P. Parnell, Andreea Anghel, Haralampos Pozidis
Sampling Acquisition Functions for Batch Bayesian Optimization. CoRR (2019)
Martino Dazzi, Abu Sebastian, Pier Andrea Francese, Thomas P. Parnell, Luca Benini, Evangelos Eleftheriou
5 Parallel Prism: A topology for pipelined implementations of convolutional neural networks using computational memory. CoRR (2019)
Nikolas Ioannou, Celestine Mendler-Dünner, Thomas P. Parnell
SySCD: A System-Aware Parallel Coordinate Descent Algorithm. CoRR (2019)
Michail Vlachos, Celestine Dünner, Reinhard Heckel, Vassilios G. Vassiliadis, Thomas P. Parnell, Kubilay Atasu
Addressing Interpretability and Cold-Start in Matrix Factorization for Recommender Systems. IEEE Trans. Knowl. Data Eng. 31 (7) (2019)
Celestine Dünner, Thomas P. Parnell, Dimitrios Sarigiannis, Nikolas Ioannou, Andreea Anghel, Gummadi Ravi, Madhusudanan Kandasamy, Haralampos Pozidis
Snap ML: A Hierarchical Framework for Machine Learning. NeurIPS (2018)
Roman A. Pletka, Nikolas Ioannou, Nikolaos Papandreou, Thomas P. Parnell, Sasa Tomic
Enabling 3D-TLC NAND Flash in Enterprise Storage Systems. ERCIM News 2018 (113) (2018)
Henri E. Bal, Arindam Pal, Azalia Mirhoseini, Thomas P. Parnell
Introduction to ParLearning 2018. IPDPS Workshops (2018)
Andreea Anghel, Nikolaos Papandreou, Thomas P. Parnell, Alessandro De Palma, Haralampos Pozidis
Benchmarking and Optimization of Gradient Boosted Decision Tree Algorithms. CoRR (2018)
Michael Kaufmann, Thomas P. Parnell, Kornilios Kourtis
Elastic CoCoA: Scaling In to Improve Convergence. CoRR (2018)
Thomas P. Parnell
ParLearning 2018 Invited Talk 3. IPDPS Workshops (2018)
Nikolas Ioannou, Celestine Dünner, Kornilios Kourtis, Thomas P. Parnell
Parallel training of linear models without compromising convergence. CoRR (2018)
Roman A. Pletka, Ioannis Koltsidas, Nikolas Ioannou, Sasa Tomic, Nikolaos Papandreou, Thomas P. Parnell, Haralampos Pozidis, Aaron Fry, Tim Fisher
Management of Next-Generation NAND Flash to Achieve Enterprise-Level Endurance and Latency Targets. ACM Trans. Storage 14 (4) (2018)
Celestine Dünner, Thomas P. Parnell, Dimitrios Sarigiannis, Nikolas Ioannou, Andreea Anghel, Haralampos Pozidis
Snap ML: A Hierarchical Framework for Machine Learning. CoRR (2018)
Milos Stanisavljevic, Thomas Mittelholzer, Nikolaos Papandreou, Thomas P. Parnell, Haralampos Pozidis
Drift-Invariant Detection for Multilevel Phase-Change Memory. ISCAS (2018)
Kubilay Atasu, Thomas P. Parnell, Celestine Dünner, Manolis Sifalakis, Haralampos Pozidis, Vasileios Vasileiadis, Michail Vlachos, Cesar Berrospi, Abdel Labbi
Linear-Complexity Relaxed Word Mover's Distance with GPU Acceleration. CoRR (2017)
Celestine Dünner, Thomas P. Parnell, Kubilay Atasu, Manolis Sifalakis, Haralampos Pozidis
Understanding and optimizing the performance of distributed machine learning applications on apache spark. IEEE BigData (2017)
Thomas P. Parnell, Celestine Dünner, Kubilay Atasu, Manolis Sifalakis, Haris Pozidis
Large-Scale Stochastic Learning Using GPUs. IPDPS Workshops (2017)
Kubilay Atasu, Thomas P. Parnell, Celestine Dünner, Michail Vlachos, Haralampos Pozidis
High-Performance Recommender System Training Using Co-Clustering on CPU/GPU Clusters. ICPP (2017)
Anil Kurmus, Nikolas Ioannou, Nikolaos Papandreou, Thomas P. Parnell
From random block corruption to privilege escalation: A filesystem attack vector for rowhammer-like attacks. WOOT (2017)
Thomas P. Parnell, Celestine Dünner, Kubilay Atasu, Manolis Sifalakis, Haris Pozidis
Large-Scale Stochastic Learning using GPUs. CoRR (2017)
Reinhard Heckel, Michail Vlachos, Thomas P. Parnell, Celestine Dünner
Scalable and Interpretable Product Recommendations via Overlapping Co-Clustering. ICDE (2017)
Irem Boybat, Manuel Le Gallo, S. R. Nandakumar, Timoleon Moraitis, Thomas P. Parnell, Tomas Tuma, Bipin Rajendran, Yusuf Leblebici, Abu Sebastian, Evangelos Eleftheriou
Neuromorphic computing with multi-memristive synapses. CoRR (2017)
Celestine Dünner, Thomas P. Parnell, Martin Jaggi
Efficient Use of Limited-Memory Resources to Accelerate Linear Learning. CoRR (2017)
Celestine Dünner, Thomas P. Parnell, Martin Jaggi
Efficient Use of Limited-Memory Accelerators for Linear Learning on Heterogeneous Systems. NIPS (2017)
Abu Sebastian, Tomas Tuma, Nikolaos Papandreou, Manuel Le Gallo, Lukas Kull, Thomas P. Parnell, Evangelos Eleftheriou
Temporal correlation detection using computational phase-change memory. CoRR (2017)
Kubilay Atasu, Thomas P. Parnell, Celestine Dünner, Manolis Sifalakis, Haralampos Pozidis, Vasileios Vasileiadis, Michail Vlachos, Cesar Berrospi, Abdel Labbi
Linear-complexity relaxed word Mover's distance with GPU acceleration. IEEE BigData (2017)
Thomas Mittelholzer, Thomas P. Parnell, Nikolaos Papandreou, Haralampos Pozidis
Improving the error-floor performance of binary half-product codes. ISITA (2016)
Celestine Dünner, Thomas P. Parnell, Kubilay Atasu, Manolis Sifalakis, Haralampos Pozidis
High-Performance Distributed Machine Learning using Apache SPARK. CoRR (2016)
Thomas P. Parnell, Celestine Dünner, Thomas Mittelholzer, Nikolaos Papandreou
Capacity of the MLC NAND Flash Channel. IEEE J. Sel. Areas Commun. 34 (9) (2016)
Thomas P. Parnell, Celestine Dünner, Thomas Mittelholzer, Nikolaos Papandreou, Haralampos Pozidis
Endurance limits of MLC NAND flash. ICC (2015)
Thomas Mittelholzer, Thomas P. Parnell, Nikolaos Papandreou, Haralampos Pozidis
Symmetry-based subproduct codes. ISIT (2015)
Thomas P. Parnell, Nikolaos Papandreou, Thomas Mittelholzer, Haralampos Pozidis
Performance of cell-to-cell interference mitigation in 1y-nm MLC flash memory. NVMTS (2015)
Nikolaos Papandreou, Thomas P. Parnell, Haralampos Pozidis, Thomas Mittelholzer, Evangelos Eleftheriou, Charles Camp, Thomas Griffin, Gary A. Tressler, Andrew Walls
Enhancing the Reliability of MLC NAND Flash Memory Systems by Read Channel Optimization. ACM Trans. Design Autom. Electr. Syst. 20 (4) (2015)
Nikolaos Papandreou, Thomas P. Parnell, Haralampos Pozidis, Thomas Mittelholzer, Evangelos Eleftheriou, Charles Camp, Thomas Griffin, Gary A. Tressler, Andrew Walls
Using adaptive read voltage thresholds to enhance the reliability of MLC NAND flash memory systems. ACM Great Lakes Symposium on VLSI (2014)
Thomas P. Parnell, Nikolaos Papandreou, Thomas Mittelholzer, Haralampos Pozidis
Modelling of the threshold voltage distributions of sub-20nm NAND flash memory. GLOBECOM (2014)
Joost Van Honschoten, Henri de Jong, Wabe W. Koelmans, Thomas P. Parnell, Oleg V. Zaboronski
Information Storage and Retrieval for Probe Storage using Optical Diffraction Patterns CoRR (2011)
Oliver Hambrey, Thomas P. Parnell, Oleg V. Zaboronski
Information theory of massively parallel probe storage channels CoRR (2011)
Thomas P. Parnell, Haralampos Pozidis, Oleg V. Zaboronski
Performance Evaluation of the Probe Storage Channel. GLOBECOM (2009)
Thomas P. Parnell, Haralampos Pozidis, Oleg V. Zaboronski
Forward Message Passing Detector for Probe Storage. ICC (2008)