Thomas J. Ashby

Publication Activity (10 Years)

Years Active: 2004-2022
Publications (10 Years): 14

Top Topics

Markov Chain Monte Carlo

Stochastic Gradient Descent

Machine Learning

Top Venues

J. Cheminformatics

Publications

Tom Vander Aa, Tom Haber, Thomas J. Ashby, Roel Wuyts, Wilfried Verachtert
Virtual Screening on FPGA: Performance and Energy versus Effort. CoRR (2022)
Imen Chakroun, Thomas J. Ashby, Sayantan Das, Sandip Halder, Roel Wuyts, Wilfried Verachtert
Using Unsupervised Machine Learning for Plasma Etching Endpoint Detection. ICPRAM (2020)
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
Industry-scale application and evaluation of deep learning for drug target prediction. J. Cheminformatics 12 (1) (2020)
Imen Chakroun, Tom Vander Aa, Thomas J. Ashby
Guidelines for enhancing data locality in selected machine learning algorithms. CoRR (2020)
Tom Vander Aa, Imen Chakroun, Thomas J. Ashby
SMURFF: a High-Performance Framework for Matrix Factorization. CoRR (2019)
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
ExCAPE-DB: An Integrated Large Scale Dataset Facilitating Big Data Analysis in Chemogenomics. BNAIC/BENELEARN (2019)
Tom Vander Aa, Imen Chakroun, Thomas J. Ashby
SMURFF: a High-Performance Framework for Matrix Factorization. AICAS (2019)
Imen Chakroun, Tom Vander Aa, Thomas J. Ashby
Cache-efficient Gradient Descent Algorithm. ESANN (2018)
Vojtech Cima, Stanislav Böhm, Jan Martinovic, Jiri Dvorský, Katerina Janurová, Tom Vander Aa, Thomas J. Ashby, Vladimir I. Chupakhin
HyperLoom: A Platform for Defining and Executing Scientific Pipelines in Distributed Environments. PARMA-DITAM@HiPEAC (2018)
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
Erratum to: ExCAPE-DB: an integrated large scale dataset facilitating Big Data analysis in chemogenomics. J. Cheminformatics 9 (1) (2017)
Imen Chakroun, Tom Haber, Thomas J. Ashby
SW-SGD: The Sliding Window Stochastic Gradient Descent Algorithm. ICCS (2017)
Vojtech Cima, Stanislav Böhm, Jan Martinovic, Jiri Dvorský, Thomas J. Ashby, Vladimir I. Chupakhin
HyperLoom Possibilities for Executing Scientific Workflows on the Cloud. CISIS (2017)
Balázs Németh, Tom Haber, Thomas J. Ashby, Wim Lamotte
Improving Operational Intensity in Data Bound Markov Chain Monte Carlo. ICCS (2017)
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
ExCAPE-DB: an integrated large scale dataset facilitating Big Data analysis in chemogenomics. J. Cheminformatics 9 (1) (2017)
Charlotte Herzeel, Thomas J. Ashby, Pascal Costanza, Wolfgang De Meuter
Resolving Load Balancing Issues in BWA on NUMA Multicore Architectures. PPAM (2) (2013)
Pieter Ghysels, Thomas J. Ashby, Karl Meerbergen, Wim Vanroose
Hiding Global Communication Latency in the GMRES Algorithm on Massively Parallel Machines. SIAM J. Sci. Comput. 35 (1) (2013)
Thomas J. Ashby, Pieter Ghysels, Wim Heirman, Wim Vanroose
The Impact of Global Communication Latency at Extreme Scales on Krylov Methods. ICA3PP (1) (2012)
Thomas J. Ashby, Pedro Diaz, Marcelo Cintra
Software-Based Cache Coherence with Hardware-Assisted Selective Self-Invalidations Using Bloom Filters. IEEE Trans. Computers 60 (4) (2011)
Jean-Yves Mignolet, Rogier Baert, Thomas J. Ashby, Prabhat Avasare, Hye-On Jang, Jae Cheol Son
MPA: Parallelizing an Application onto a Multicore Platform Made Easy. IEEE Micro 29 (3) (2009)
Rogier Baert, Erik Brockmeyer, Sven Wuytack, Thomas J. Ashby
Exploring parallelizations of applications for MPSoC platforms using MPA. DATE (2009)
Martin Palkovic, Praveen Raghavan, Thomas J. Ashby, Andy Folens, Hans Cappelle, Miguel Glassee, Liesbet Van der Perre, Francky Catthoor
Parallelization exploration of wireless applications using MPA. PARCO (2009)
Thomas J. Ashby, Anthony D. Kennedy, Stephen M. Watt
Generation and optimisation of code using coxeter lattice paths. PASCO (2007)
Thomas J. Ashby, Michael F. P. O'Boyle
Iterative Collective Loop Fusion. CC (2006)
Thomas J. Ashby, Anthony D. Kennedy, Stephen M. Watt
Coxeter Lattice Paths. Challenges in Symbolic Computation Software (2006)
Thomas J. Ashby, Anthony D. Kennedy, Michael F. P. O'Boyle
Cross Component Optimisation in a High Level Category-Based Language. Euro-Par (2004)