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2020 – today
- 2024
[c31]Malgorzata Lazuka, Andreea Anghel, Thomas P. Parnell:
LLM-Pilot: Characterize and Optimize Performance of your LLM Inference Services. SC 2024: 16- [i26]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 abs/2404.19124 (2024) - [i25]Malgorzata Lazuka, Andreea Anghel, Thomas P. Parnell:
LLM-Pilot: Characterize and Optimize Performance of your LLM Inference Services. CoRR abs/2410.02425 (2024) - 2023
- [c30]Malgorzata Lazuka, Andreea Anghel, Parikshit Ram, Haralampos Pozidis, Thomas P. Parnell:
xCloudServing: Automated ML Serving Across Clouds. CLOUD 2023: 1-12 - [c29]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: 1-5 - 2022
- [c28]Malgorzata Lazuka
, Thomas P. Parnell, Andreea Anghel, Haralampos Pozidis:
Search-based Methods for Multi-Cloud Configuration. CLOUD 2022: 438-448 - [i24]Malgorzata Lazuka, Thomas P. Parnell, Andreea Anghel, Haralampos Pozidis:
Search-based Methods for Multi-Cloud Configuration. CoRR abs/2204.09437 (2022) - 2021
- [j6]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): 922-935 (2021) - [c27]Georgios Damaskinos, Celestine Mendler-Dünner, Rachid Guerraoui, Nikolaos Papandreou, Thomas P. Parnell:
Differentially Private Stochastic Coordinate Descent. AAAI 2021: 7176-7184 - [c26]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: 24-30 - 2020
- [j5]Thomas P. Parnell, Celestine Dünner, Kubilay Atasu, Manolis Sifalakis, Haralampos Pozidis:
Tera-scale coordinate descent on GPUs. Future Gener. Comput. Syst. 108: 1173-1191 (2020) - [c25]Dimitrios Sarigiannis, Thomas P. Parnell, Haralampos Pozidis:
Weighted Sampling for Combined Model Selection and Hyperparameter Tuning. AAAI 2020: 5595-5603 - [c24]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: 1-6 - [c23]Thomas P. Parnell, Andreea Anghel, Malgorzata Lazuka, Nikolas Ioannou, Sebastian Kurella, Peshal Agarwal, Nikolaos Papandreou, Haralampos Pozidis:
SnapBoost: A Heterogeneous Boosting Machine. NeurIPS 2020 - [i23]Georgios Damaskinos, Celestine Mendler-Dünner, Rachid Guerraoui, Nikolaos Papandreou, Thomas P. Parnell:
Differentially Private Stochastic Coordinate Descent. CoRR abs/2006.07272 (2020) - [i22]Thomas P. Parnell, Andreea Anghel, Malgorzata Lazuka, Nikolas Ioannou, Sebastian Kurella, Peshal Agarwal, Nikolaos Papandreou, Haralampos Pozidis:
MixBoost: A Heterogeneous Boosting Machine. CoRR abs/2006.09745 (2020) - [i21]Thomas Schmied, Diego Didona, Andreas C. Döring, Thomas P. Parnell, Nikolas Ioannou:
Towards a General Framework for ML-based Self-tuning Databases. CoRR abs/2011.07921 (2020)
2010 – 2019
- 2019
- [j4]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): 1253-1266 (2019) - [c22]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: 1-6 - [c21]Nikolas Ioannou, Celestine Mendler-Dünner, Thomas P. Parnell:
SySCD: A System-Aware Parallel Coordinate Descent Algorithm. NeurIPS 2019: 590-600 - [c20]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: 1-4 - [i20]Alessandro De Palma, Celestine Mendler-Dünner, Thomas P. Parnell, Andreea Anghel, Haralampos Pozidis:
Sampling Acquisition Functions for Batch Bayesian Optimization. CoRR abs/1903.09434 (2019) - [i19]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 abs/1906.03474 (2019) - [i18]Michael Kaufmann, Kornilios Kourtis, Celestine Mendler-Dünner, Adrian Schüpbach, Thomas P. Parnell:
Addressing Algorithmic Bottlenecks in Elastic Machine Learning with Chicle. CoRR abs/1909.04885 (2019) - [i17]Dimitrios Sarigiannis, Thomas P. Parnell, Haris Pozidis:
Weighted Sampling for Combined Model Selection and Hyperparameter Tuning. CoRR abs/1909.07140 (2019) - [i16]Johanna Sommer, Dimitrios Sarigiannis, Thomas P. Parnell:
Learning to Tune XGBoost with XGBoost. CoRR abs/1909.07218 (2019) - [i15]Andreea Anghel, Nikolas Ioannou, Thomas P. Parnell, Nikolaos Papandreou, Celestine Mendler-Dünner, Haris Pozidis:
Breadth-first, Depth-next Training of Random Forests. CoRR abs/1910.06853 (2019) - [i14]Nikolas Ioannou, Celestine Mendler-Dünner, Thomas P. Parnell:
SySCD: A System-Aware Parallel Coordinate Descent Algorithm. CoRR abs/1911.07722 (2019) - 2018
- [j3]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): 33:1-33:25 (2018) - [c19]Henri E. Bal, Arindam Pal, Azalia Mirhoseini, Thomas P. Parnell:
Introduction to ParLearning 2018. IPDPS Workshops 2018: 852-853 - [c18]Thomas P. Parnell:
ParLearning 2018 Invited Talk 3. IPDPS Workshops 2018: 856 - [c17]Milos Stanisavljevic, Thomas Mittelholzer, Nikolaos Papandreou, Thomas P. Parnell, Haralampos Pozidis:
Drift-Invariant Detection for Multilevel Phase-Change Memory. ISCAS 2018: 1-5 - [c16]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: 250-260 - [i13]Celestine Dünner, Thomas P. Parnell, Dimitrios Sarigiannis, Nikolas Ioannou, Andreea Anghel, Haralampos Pozidis:
Snap ML: A Hierarchical Framework for Machine Learning. CoRR abs/1803.06333 (2018) - [i12]Andreea Anghel, Nikolaos Papandreou, Thomas P. Parnell, Alessandro De Palma, Haralampos Pozidis:
Benchmarking and Optimization of Gradient Boosted Decision Tree Algorithms. CoRR abs/1809.04559 (2018) - [i11]Nikolas Ioannou, Celestine Dünner, Kornilios Kourtis, Thomas P. Parnell:
Parallel training of linear models without compromising convergence. CoRR abs/1811.01564 (2018) - [i10]Michael Kaufmann, Thomas P. Parnell, Kornilios Kourtis:
Elastic CoCoA: Scaling In to Improve Convergence. CoRR abs/1811.02322 (2018) - [i9]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) - 2017
- [c15]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: 331-338 - [c14]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: 889-896 - [c13]Reinhard Heckel, Michail Vlachos, Thomas P. Parnell, Celestine Dünner:
Scalable and Interpretable Product Recommendations via Overlapping Co-Clustering. ICDE 2017: 1033-1044 - [c12]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: 372-381 - [c11]Thomas P. Parnell, Celestine Dünner, Kubilay Atasu, Manolis Sifalakis, Haris Pozidis:
Large-Scale Stochastic Learning Using GPUs. IPDPS Workshops 2017: 419-428 - [c10]Celestine Dünner, Thomas P. Parnell, Martin Jaggi:
Efficient Use of Limited-Memory Accelerators for Linear Learning on Heterogeneous Systems. NIPS 2017: 4258-4267 - [c9]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 - [i8]Thomas P. Parnell, Celestine Dünner, Kubilay Atasu, Manolis Sifalakis, Haris Pozidis:
Large-Scale Stochastic Learning using GPUs. CoRR abs/1702.07005 (2017) - [i7]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 abs/1706.00511 (2017) - [i6]Celestine Dünner, Thomas P. Parnell, Martin Jaggi:
Efficient Use of Limited-Memory Resources to Accelerate Linear Learning. CoRR abs/1708.05357 (2017) - [i5]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 abs/1711.06507 (2017) - [i4]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 abs/1711.07227 (2017) - 2016
- [j2]Thomas P. Parnell, Celestine Dünner, Thomas Mittelholzer, Nikolaos Papandreou:
Capacity of the MLC NAND Flash Channel. IEEE J. Sel. Areas Commun. 34(9): 2354-2365 (2016) - [c8]Thomas Mittelholzer, Thomas P. Parnell, Nikolaos Papandreou, Haralampos Pozidis:
Improving the error-floor performance of binary half-product codes. ISITA 2016: 295-299 - [i3]Celestine Dünner, Thomas P. Parnell, Kubilay Atasu, Manolis Sifalakis, Haralampos Pozidis:
High-Performance Distributed Machine Learning using Apache SPARK. CoRR abs/1612.01437 (2016) - 2015
- [j1]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): 62:1-62:24 (2015) - [c7]Thomas P. Parnell, Celestine Dünner, Thomas Mittelholzer, Nikolaos Papandreou, Haralampos Pozidis:
Endurance limits of MLC NAND flash. ICC 2015: 376-381 - [c6]Thomas Mittelholzer, Thomas P. Parnell, Nikolaos Papandreou, Haralampos Pozidis:
Symmetry-based subproduct codes. ISIT 2015: 251-255 - [c5]Thomas P. Parnell, Nikolaos Papandreou, Thomas Mittelholzer, Haralampos Pozidis:
Performance of cell-to-cell interference mitigation in 1y-nm MLC flash memory. NVMTS 2015: 1-4 - 2014
- [c4]Thomas P. Parnell, Nikolaos Papandreou, Thomas Mittelholzer, Haralampos Pozidis:
Modelling of the threshold voltage distributions of sub-20nm NAND flash memory. GLOBECOM 2014: 2351-2356 - [c3]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: 151-156 - 2011
- [i2]Oliver Hambrey, Thomas P. Parnell, Oleg V. Zaboronski:
Information theory of massively parallel probe storage channels. CoRR abs/1102.0540 (2011) - [i1]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 abs/1104.0871 (2011)
2000 – 2009
- 2009
- [c2]Thomas P. Parnell, Haralampos Pozidis, Oleg V. Zaboronski:
Performance Evaluation of the Probe Storage Channel. GLOBECOM 2009: 1-6 - 2008
- [c1]Thomas P. Parnell, Haralampos Pozidis, Oleg V. Zaboronski:
Forward Message Passing Detector for Probe Storage. ICC 2008: 1967-1971
Coauthor Index
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