Browsing by author "Ashby, Tom"
Now showing items 1-20 of 24
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Cache-efficient gradient descent algorithm
Chakroun, Imen; Vander Aa, Tom; Ashby, Tom (2018) -
Design space exploration tool flow for MPSoC embedded design
Avasare, Prabhat; Couvreur, Chantal; Vanmeerbeeck, Geert; De Greef, Eddy; Ashby, Tom; Baert, Rogier; Wuyts, Roel; Stahl, Richard; D'Hondt, Maja; Rynders, Luc; Nollet, Vincent (2010) -
Enhancing machine learning optimization algorithms by leveraging memory caching
Chakroun, Imen; Vander Aa, Tom; Ashby, Tom (2018) -
ExCAPE: Exascale Compound Activity Prediction
Vander Aa, Tom; Ashby, Tom (2018) -
Exploring parallelizations of applications for MPSoC platforms using MPA
Baert, Rogier; Brockmeyer, Erik; Wuytack, Sven; Ashby, Tom (2009) -
Guidelines for enhancing data locality in selected machine learning algorithms
Chakroun, Imen; Vander Aa, Tom; Ashby, Tom (2019) -
How to use HPC Tools to do Machine Learning at Scale
Vander Aa, Tom; Ashby, Tom (2016) -
Identifying and evaluating barriers for the implementation of machine learning in the intensive care unit
D'Hondt, Ellie; Ashby, Tom; Chakroun, Imen; Koninckx, Thomas; Wuyts, Roel (2022) -
Improving operational intensity in data bound Markov chain Monte Carlo
Nemeth, Balasz; Haber, Tom; Ashby, Tom; Lamotte, Wim (2017) -
Machine learning for chemogenomics on HPC in the ExCAPE project
Vander Aa, Tom; Ashby, Tom (2018) -
Machine Learning for Chemogenomics on HPC: progress in the ExCAPE project
Vander Aa, Tom; Ashby, Tom; Vandriessche, Yves; Cima, Vojtech; Böhm, Stanislav; Martinovic, Jan (2017) -
Machine Learning on Multiplexed Optical Metrology Pattern Shift Response Targets to Predict Electrical Properties
Ashby, Tom; Truffert, Vincent; Cerbu, Dorin; Ausschnitt, Kit; Charley, Anne-Laure; Verachtert, Wilfried; Wuyts, Roel (2024) -
MOSART: Mapping Optimisation for Scalable multi-core ARchiTecture
Candaele, Bernard; Jantsch, Axel; Ashby, Tom; Tiensyrjä, Kari; Ieromnimon, Frank; Vanthournout, Bart; Di Crescenzo, Philippe; Soudris, Dimitrios (2008) -
MPA: Parallelization made easy
Vanmeerbeeck, Geert; Ashby, Tom (2011) -
MPA: Parallelizing an application onto a multicore platform made easy
Mignolet, Jean-Yves; Baert, Rogier; Ashby, Tom; Avasare, Prabhat; Jang, Hye-On; Son, Jae Cheol (2009) -
Parallelization exploration of wireless applications using MPA
Palkovic, Martin; Raghavan, Praveen; Ashby, Tom; Folens, Andy; Cappelle, Hans; Glassee, Miguel; Van der Perre, Liesbet; Catthoor, Francky (2009-09) -
Privacy preserving machine learning for process control
Verachtert, Wilfried; Ashby, Tom; Chakroun, Imen; Wuyts, Roel; Das, Sayantan; Halder, Sandip; Leray, Philippe (2021) -
Resolving load balancing issues in BWA on NUMA multicore architectures
Herzeel, Charlotte; Ashby, Tom; Costanza, Pascal; De Meuter, Wolfgang (2014) -
Reviewing data access patterns and computational redundancy for machine learning algorithms
Chakroun, Imen; Vander Aa, Tom; Ashby, Tom (2019) -
SMURFF: A high-performance framework for matrix factorization
Vander Aa, Tom; Chakroun, Imen; Ashby, Tom (2019)