Thomas J. Ashby

According to our database, Thomas J. Ashby authored at least 30 papers between 2004 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

Virtual Screening on FPGA: Performance and Energy versus Effort.

Tom Vander Aa, Tom Haber, Thomas J. Ashby, Roel Wuyts, Wilfried Verachtert

CoRR, 2022

2020

Industry-scale application and evaluation of deep learning for drug target prediction.

Noé Sturm, Andreas Mayr, Thanh Le Van, Vladimir I. Chupakhin, Hugo Ceulemans, Jörg K. Wegner, José Felipe Golib Dzib, Nina Jeliazkova, Yves Vandriessche, Stanislav Böhm, Vojtech Cima, Jan Martinovic, Nigel Greene, Tom Vander Aa, Thomas J. Ashby, Sepp Hochreiter, Ola Engkvist, Günter Klambauer, Hongming Chen

J. Cheminformatics, 2020

Using Unsupervised Machine Learning for Plasma Etching Endpoint Detection.

Imen Chakroun, Thomas J. Ashby, Sayantan Das, Sandip Halder, Roel Wuyts, Wilfried Verachtert

Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, 2020

2019

Guidelines for enhancing data locality in selected machine learning algorithms.

Imen Chakroun, Tom Vander Aa, Tom Ashby

Intell. Data Anal., 2019

Reviewing Data Access Patterns and Computational Redundancy for Machine Learning Algorithms.

Imen Chakroun, Tom Vander Aa, Tom Ashby

CoRR, 2019

ExCAPE-DB: An Integrated Large Scale Dataset Facilitating Big Data Analysis in Chemogenomics.

Jiangming Sun, Nina Jeliazkova, Vladimir I. Chupakhin, José Felipe Golib Dzib, Lars Carlsson, Jörg K. Wegner, Hugo Ceulemans, Ivan Georgiev, Vedrin Jeliazkov, Nikolay T. Kochev, Thomas J. Ashby, Hongming Chen

Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

SMURFF: A High-Performance Framework for Matrix Factorization Methods.

Tom Vander Aa, Imen Chakroun, Tom Ashby, Jaak Simm, Adam Arany, Yves Moreau, Thanh Le Van, José Felipe Golib Dzib, Jörg K. Wegner, Vladimir I. Chupakhin, Hugo Ceulemans, Roel Wuyts, Wilfried Verachtert

Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

Virtual Screening on FPGA.

Tom Vander Aa, Tom Ashby, Roel Wuyts

Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

SMURFF: a High-Performance Framework for Matrix Factorization.

Tom Vander Aa, Imen Chakroun, Thomas J. Ashby

Proceedings of the IEEE International Conference on Artificial Intelligence Circuits and Systems, 2019

2018

Enhancing Machine Learning Optimization Algorithms by Leveraging Memory Caching (Research Poster).

Imen Chakroun, Tom Vander Aa, Tom Ashby

Proceedings of the 2018 International Conference on High Performance Computing & Simulation, 2018

HyperLoom: A Platform for Defining and Executing Scientific Pipelines in Distributed Environments.

Vojtech Cima, Stanislav Böhm, Jan Martinovic, Jiri Dvorský, Katerina Janurová, Tom Vander Aa, Thomas J. Ashby, Vladimir I. Chupakhin

Proceedings of the 9th Workshop on Parallel Programming and RunTime Management Techniques for Manycore Architectures and 7th Workshop on Design Tools and Architectures for Multicore Embedded Computing Platforms, 2018

Cache-efficient Gradient Descent Algorithm.

Imen Chakroun, Tom Vander Aa, Thomas J. Ashby

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

2017

Erratum to: ExCAPE-DB: an integrated large scale dataset facilitating Big Data analysis in chemogenomics.

Jiangming Sun, Nina Jeliazkova, Vladimir I. Chupakhin, José Felipe Golib Dzib, Ola Engkvist, Lars Carlsson, Jörg K. Wegner, Hugo Ceulemans, Ivan Georgiev, Vedrin Jeliazkov, Nikolay T. Kochev, Thomas J. Ashby, Hongming Chen

J. Cheminformatics, 2017

ExCAPE-DB: an integrated large scale dataset facilitating Big Data analysis in chemogenomics.

Jiangming Sun, Nina Jeliazkova, Vladimir I. Chupakhin, José Felipe Golib Dzib, Ola Engkvist, Lars Carlsson, Jörg K. Wegner, Hugo Ceulemans, Ivan Georgiev, Vedrin Jeliazkov, Nikolay T. Kochev, Thomas J. Ashby, Hongming Chen

J. Cheminformatics, 2017

Improving Operational Intensity in Data Bound Markov Chain Monte Carlo.

Balázs Németh, Tom Haber, Thomas J. Ashby, Wim Lamotte

Proceedings of the International Conference on Computational Science, 2017

SW-SGD: The Sliding Window Stochastic Gradient Descent Algorithm.

Imen Chakroun, Tom Haber, Thomas J. Ashby

Proceedings of the International Conference on Computational Science, 2017

HyperLoom Possibilities for Executing Scientific Workflows on the Cloud.

Vojtech Cima, Stanislav Böhm, Jan Martinovic, Jiri Dvorský, Thomas J. Ashby, Vladimir I. Chupakhin

Proceedings of the Complex, Intelligent, and Software Intensive Systems, 2017

2013

Hiding Global Communication Latency in the GMRES Algorithm on Massively Parallel Machines.

Pieter Ghysels, Thomas J. Ashby, Karl Meerbergen, Wim Vanroose

SIAM J. Sci. Comput., 2013

Resolving Load Balancing Issues in BWA on NUMA Multicore Architectures.

Charlotte Herzeel, Thomas J. Ashby, Pascal Costanza, Wolfgang De Meuter

Proceedings of the Parallel Processing and Applied Mathematics, 2013

2012

The Impact of Global Communication Latency at Extreme Scales on Krylov Methods.

Thomas J. Ashby, Pieter Ghysels, Wim Heirman, Wim Vanroose

Proceedings of the Algorithms and Architectures for Parallel Processing, 2012

2011

Software-Based Cache Coherence with Hardware-Assisted Selective Self-Invalidations Using Bloom Filters.

Thomas J. Ashby, Pedro Diaz, Marcelo Cintra

IEEE Trans. Computers, 2011

2009

MPA: Parallelizing an Application onto a Multicore Platform Made Easy.

Jean-Yves Mignolet, Rogier Baert, Thomas J. Ashby, Prabhat Avasare, Hye-On Jang, Jae Cheol Son

IEEE Micro, 2009

Parallelization exploration of wireless applications using MPA.

Martin Palkovic, Praveen Raghavan, Thomas J. Ashby, Andy Folens, Hans Cappelle, Miguel Glassee, Liesbet Van der Perre, Francky Catthoor

Proceedings of the Parallel Computing: From Multicores and GPU's to Petascale, 2009

Exploring parallelizations of applications for MPSoC platforms using MPA.

Rogier Baert, Erik Brockmeyer, Sven Wuytack, Thomas J. Ashby

Proceedings of the Design, Automation and Test in Europe, 2009

2008

System-Level Design and Application Mapping for Wireless and Multimedia MPSoC Architectures.

Rainer Leupers, Gerd Ascheid, Wilfried Verachtert, Tom Ashby, Arnout Vandecappelle

Proceedings of the Design, Automation and Test in Europe, 2008

2007

Generation and optimisation of code using coxeter lattice paths.

Thomas J. Ashby, Anthony D. Kennedy, Stephen M. Watt

Proceedings of the Parallel Symbolic Computation, 2007

2006

Coxeter Lattice Paths.

Thomas J. Ashby, Anthony D. Kennedy, Stephen M. Watt

Proceedings of the Challenges in Symbolic Computation Software, 02.07. - 07.07.2006, 2006

Iterative Collective Loop Fusion.

Thomas J. Ashby, Michael F. P. O'Boyle

Proceedings of the Compiler Construction, 15th International Conference, 2006

2005

Design and optimisation of scientific programs in a categorical language.

Thomas James Ashby

PhD thesis, 2005

2004

Cross Component Optimisation in a High Level Category-Based Language.

Thomas J. Ashby, Anthony D. Kennedy, Michael F. P. O'Boyle

Proceedings of the Euro-Par 2004 Parallel Processing, 2004