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2020 – today
- 2022
[i5]Tom Vander Aa
, Tom Haber, Thomas J. Ashby, Roel Wuyts, Wilfried Verachtert:
Virtual Screening on FPGA: Performance and Energy versus Effort. CoRR abs/2210.10386 (2022)- 2020
- [j7]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): 26 (2020) - [c19]Imen Chakroun, Thomas J. Ashby, Sayantan Das, Sandip Halder, Roel Wuyts, Wilfried Verachtert:
Using Unsupervised Machine Learning for Plasma Etching Endpoint Detection. ICPRAM 2020: 273-279 - [i4]Imen Chakroun, Tom Vander Aa, Thomas J. Ashby:
Guidelines for enhancing data locality in selected machine learning algorithms. CoRR abs/2001.03000 (2020)
2010 – 2019
- 2019
- [j6]Imen Chakroun, Tom Vander Aa, Tom Ashby:
Guidelines for enhancing data locality in selected machine learning algorithms. Intell. Data Anal. 23(5): 1003-1020 (2019) - [c18]Tom Vander Aa, Imen Chakroun, Thomas J. Ashby:
SMURFF: a High-Performance Framework for Matrix Factorization. AICAS 2019: 304-308 - [c17]Tom Vander Aa, Tom Ashby, Roel Wuyts:
Virtual Screening on FPGA. BNAIC/BENELEARN 2019 - [c16]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:
SMURFF: A High-Performance Framework for Matrix Factorization Methods. BNAIC/BENELEARN 2019 - [c15]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 - [i3]Tom Vander Aa, Imen Chakroun, Thomas J. Ashby:
SMURFF: a High-Performance Framework for Matrix Factorization. CoRR abs/1904.02514 (2019) - [i2]Imen Chakroun, Tom Vander Aa, Tom Ashby:
Reviewing Data Access Patterns and Computational Redundancy for Machine Learning Algorithms. CoRR abs/1904.11203 (2019) - 2018
- [c14]Imen Chakroun, Tom Vander Aa, Thomas J. Ashby:
Cache-efficient Gradient Descent Algorithm. ESANN 2018 - [c13]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: 1-6 - [c12]Imen Chakroun, Tom Vander Aa, Tom Ashby:
Enhancing Machine Learning Optimization Algorithms by Leveraging Memory Caching (Research Poster). HPCS 2018: 1066-1067 - 2017
- [j5]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): 17:1-17:9 (2017) - [j4]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): 41:1 (2017) - [c11]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: 397-406 - [c10]Imen Chakroun, Tom Haber, Thomas J. Ashby:
SW-SGD: The Sliding Window Stochastic Gradient Descent Algorithm. ICCS 2017: 2318-2322 - [c9]Balázs Németh, Tom Haber, Thomas J. Ashby, Wim Lamotte:
Improving Operational Intensity in Data Bound Markov Chain Monte Carlo. ICCS 2017: 2348-2352 - 2013
- [j3]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) - [c8]Charlotte Herzeel, Thomas J. Ashby, Pascal Costanza, Wolfgang De Meuter:
Resolving Load Balancing Issues in BWA on NUMA Multicore Architectures. PPAM (2) 2013: 227-236 - 2012
- [c7]Thomas J. Ashby, Pieter Ghysels, Wim Heirman, Wim Vanroose:
The Impact of Global Communication Latency at Extreme Scales on Krylov Methods. ICA3PP (1) 2012: 428-442 - 2011
- [j2]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): 472-483 (2011)
2000 – 2009
- 2009
- [j1]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): 31-39 (2009) - [c6]Rogier Baert, Erik Brockmeyer, Sven Wuytack, Thomas J. Ashby:
Exploring parallelizations of applications for MPSoC platforms using MPA. DATE 2009: 1148-1153 - [c5]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: 712-719 - 2008
- [c4]Rainer Leupers, Gerd Ascheid, Wilfried Verachtert, Tom Ashby, Arnout Vandecappelle:
System-Level Design and Application Mapping for Wireless and Multimedia MPSoC Architectures. DATE 2008 - 2007
- [c3]Thomas J. Ashby, Anthony D. Kennedy, Stephen M. Watt:
Generation and optimisation of code using coxeter lattice paths. PASCO 2007: 1-10 - 2006
- [c2]Thomas J. Ashby, Michael F. P. O'Boyle:
Iterative Collective Loop Fusion. CC 2006: 202-216 - [i1]Thomas J. Ashby, Anthony D. Kennedy, Stephen M. Watt:
Coxeter Lattice Paths. Challenges in Symbolic Computation Software 2006 - 2005
- [b1]Thomas James Ashby:
Design and optimisation of scientific programs in a categorical language. University of Edinburgh, UK, 2005 - 2004
- [c1]Thomas J. Ashby, Anthony D. Kennedy, Michael F. P. O'Boyle:
Cross Component Optimisation in a High Level Category-Based Language. Euro-Par 2004: 654-661
Coauthor Index
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