Thomas P. Parnell

Orcid: 0000-0002-1308-6590

According to our database1, Thomas P. Parnell authored at least 55 papers between 2008 and 2024.

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Bibliography

2024
LLM-Pilot: Characterize and Optimize Performance of your LLM Inference Services.
CoRR, 2024

Accelerating Production LLMs with Combined Token/Embedding Speculators.
CoRR, 2024

2023
Acceleration of Decision-Tree Ensemble Models on the IBM Telum Processor.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

xCloudServing: Automated ML Serving Across Clouds.
Proceedings of the 16th IEEE International Conference on Cloud Computing, 2023

2022
Search-based Methods for Multi-Cloud Configuration.
Proceedings of the IEEE 15th International Conference on Cloud Computing, 2022

2021
Efficient Pipelined Execution of CNNs Based on In-Memory Computing and Graph Homomorphism Verification.
IEEE Trans. Computers, 2021

Towards a General Framework for ML-based Self-tuning Databases.
Proceedings of the EuroMLSys@EuroSys 2021, 2021

Differentially Private Stochastic Coordinate Descent.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Tera-scale coordinate descent on GPUs.
Future Gener. Comput. Syst., 2020

MixBoost: A Heterogeneous Boosting Machine.
CoRR, 2020

SnapBoost: A Heterogeneous Boosting Machine.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Open Block Characterization and Read Voltage Calibration of 3D QLC NAND Flash.
Proceedings of the 2020 IEEE International Reliability Physics Symposium, 2020

Weighted Sampling for Combined Model Selection and Hyperparameter Tuning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Addressing Interpretability and Cold-Start in Matrix Factorization for Recommender Systems.
IEEE Trans. Knowl. Data Eng., 2019

Breadth-first, Depth-next Training of Random Forests.
CoRR, 2019

Learning to Tune XGBoost with XGBoost.
CoRR, 2019

Addressing Algorithmic Bottlenecks in Elastic Machine Learning with Chicle.
CoRR, 2019

5 Parallel Prism: A topology for pipelined implementations of convolutional neural networks using computational memory.
CoRR, 2019

Sampling Acquisition Functions for Batch Bayesian Optimization.
CoRR, 2019

Reliability of 3D NAND flash memory with a focus on read voltage calibration from a system aspect.
Proceedings of the 19th Non-Volatile Memory Technology Symposium, 2019

SySCD: A System-Aware Parallel Coordinate Descent Algorithm.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Characterization and Analysis of Bit Errors in 3D TLC NAND Flash Memory.
Proceedings of the IEEE International Reliability Physics Symposium, 2019

2018
Management of Next-Generation NAND Flash to Achieve Enterprise-Level Endurance and Latency Targets.
ACM Trans. Storage, 2018

Enabling 3D-TLC NAND Flash in Enterprise Storage Systems.
ERCIM News, 2018

Elastic CoCoA: Scaling In to Improve Convergence.
CoRR, 2018

Parallel training of linear models without compromising convergence.
CoRR, 2018

Benchmarking and Optimization of Gradient Boosted Decision Tree Algorithms.
CoRR, 2018

Snap ML: A Hierarchical Framework for Machine Learning.
CoRR, 2018

Snap ML: A Hierarchical Framework for Machine Learning.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Drift-Invariant Detection for Multilevel Phase-Change Memory.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

ParLearning 2018 Invited Talk 3.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018

Introduction to ParLearning 2018.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018

2017
Neuromorphic computing with multi-memristive synapses.
CoRR, 2017

Efficient Use of Limited-Memory Resources to Accelerate Linear Learning.
CoRR, 2017

Temporal correlation detection using computational phase-change memory.
CoRR, 2017

From random block corruption to privilege escalation: A filesystem attack vector for rowhammer-like attacks.
Proceedings of the 11th USENIX Workshop on Offensive Technologies, 2017

Efficient Use of Limited-Memory Accelerators for Linear Learning on Heterogeneous Systems.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Large-Scale Stochastic Learning Using GPUs.
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

High-Performance Recommender System Training Using Co-Clustering on CPU/GPU Clusters.
Proceedings of the 46th International Conference on Parallel Processing, 2017

Scalable and Interpretable Product Recommendations via Overlapping Co-Clustering.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Understanding and optimizing the performance of distributed machine learning applications on apache spark.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Linear-complexity relaxed word Mover's distance with GPU acceleration.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
Capacity of the MLC NAND Flash Channel.
IEEE J. Sel. Areas Commun., 2016

High-Performance Distributed Machine Learning using Apache SPARK.
CoRR, 2016

Improving the error-floor performance of binary half-product codes.
Proceedings of the 2016 International Symposium on Information Theory and Its Applications, 2016

2015
Enhancing the Reliability of MLC NAND Flash Memory Systems by Read Channel Optimization.
ACM Trans. Design Autom. Electr. Syst., 2015

Performance of cell-to-cell interference mitigation in 1y-nm MLC flash memory.
Proceedings of the 15th Non-Volatile Memory Technology Symposium, 2015

Symmetry-based subproduct codes.
Proceedings of the IEEE International Symposium on Information Theory, 2015

Endurance limits of MLC NAND flash.
Proceedings of the 2015 IEEE International Conference on Communications, 2015

2014
Using adaptive read voltage thresholds to enhance the reliability of MLC NAND flash memory systems.
Proceedings of the Great Lakes Symposium on VLSI 2014, GLSVLSI '14, Houston, TX, USA - May 21, 2014

Modelling of the threshold voltage distributions of sub-20nm NAND flash memory.
Proceedings of the IEEE Global Communications Conference, 2014

2011
Information Storage and Retrieval for Probe Storage using Optical Diffraction Patterns
CoRR, 2011

Information theory of massively parallel probe storage channels
CoRR, 2011

2009
Performance Evaluation of the Probe Storage Channel.
Proceedings of the Global Communications Conference, 2009. GLOBECOM 2009, Honolulu, Hawaii, USA, 30 November, 2009

2008
Forward Message Passing Detector for Probe Storage.
Proceedings of IEEE International Conference on Communications, 2008


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