Cross Component Optimisation in a High Level Category-Based Language. - Thomas J. Ashby; Anthony D. Kennedy; Michael F. P. O'Boyle (Euro-Par, 2004)

Design and optimisation of scientific programs in a categorical language. - Thomas James Ashby (2005)

Iterative Collective Loop Fusion. - Thomas J. Ashby; Michael F. P. O'Boyle (CC, 2006)

Coxeter Lattice Paths. - Thomas J. Ashby; Anthony D. Kennedy; Stephen M. Watt (Challenges in Symbolic Computation Software, 2006)

Generation and optimisation of code using coxeter lattice paths. - Thomas J. Ashby; Anthony D. Kennedy; Stephen M. Watt (PASCO, 2007)

System-Level Design and Application Mapping for Wireless and Multimedia MPSoC Architectures. - Rainer Leupers; Gerd Ascheid; Wilfried Verachtert; Tom Ashby; Arnout Vandecappelle (DATE, 2008)

Exploring parallelizations of applications for MPSoC platforms using MPA. - Rogier Baert; Erik Brockmeyer; Sven Wuytack; Thomas J. Ashby (DATE, 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 (PARCO, 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)

Software-Based Cache Coherence with Hardware-Assisted Selective Self-Invalidations Using Bloom Filters. - Thomas J. Ashby; Pedro Diaz; Marcelo Cintra (IEEE Trans. Computers, 2011)

The Impact of Global Communication Latency at Extreme Scales on Krylov Methods. - Thomas J. Ashby; Pieter Ghysels; Wim Heirman; Wim Vanroose (ICA3PP (1), 2012)

Resolving Load Balancing Issues in BWA on NUMA Multicore Architectures. - Charlotte Herzeel; Thomas J. Ashby; Pascal Costanza; Wolfgang De Meuter (PPAM (2), 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)

HyperLoom Possibilities for Executing Scientific Workflows on the Cloud. - Vojtech Cima; Stanislav Böhm; Jan Martinovic; Jiri Dvorský; Thomas J. Ashby; Vladimir I. Chupakhin (CISIS, 2017)

SW-SGD: The Sliding Window Stochastic Gradient Descent Algorithm. - Imen Chakroun; Tom Haber; Thomas J. Ashby (ICCS, 2017)

Improving Operational Intensity in Data Bound Markov Chain Monte Carlo. - Balázs Németh 002; Tom Haber; Thomas J. Ashby; Wim Lamotte (ICCS, 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; et al. (J. Cheminformatics, 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; et al. (J. Cheminformatics, 2017)

Cache-efficient Gradient Descent Algorithm. - Imen Chakroun; Tom Vander Aa; Thomas J. Ashby (ESANN, 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 (PARMA-DITAM@HiPEAC, 2018)

Enhancing Machine Learning Optimization Algorithms by Leveraging Memory Caching (Research Poster). - Imen Chakroun; Tom Vander Aa; Tom Ashby (HPCS, 2018)

SMURFF: a High-Performance Framework for Matrix Factorization. - Tom Vander Aa; Imen Chakroun; Thomas J. Ashby (AICAS, 2019)

Virtual Screening on FPGA. - Tom Vander Aa; Tom Ashby; Roel Wuyts (BNAIC/BENELEARN, 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; et al. (BNAIC/BENELEARN, 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 001 (BNAIC/BENELEARN, 2019)

Reviewing Data Access Patterns and Computational Redundancy for Machine Learning Algorithms. - Imen Chakroun; Tom Vander Aa; Tom Ashby (CoRR, 2019)

Guidelines for enhancing data locality in selected machine learning algorithms. - Imen Chakroun; Tom Vander Aa; Tom Ashby (Intell. Data Anal., 2019)

Using Unsupervised Machine Learning for Plasma Etching Endpoint Detection. - Imen Chakroun; Thomas J. Ashby; Sayantan Das 003; Sandip Halder; Roel Wuyts; Wilfried Verachtert (ICPRAM, 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; et al. (J. Cheminformatics, 2020)

Virtual Screening on FPGA: Performance and Energy versus Effort. - Tom Vander Aa; Tom Haber; Thomas J. Ashby; Roel Wuyts; Wilfried Verachtert (CoRR, 2022)