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David Thomas
David Thomas
Email verificata su southampton.ac.uk
Titolo
Citata da
Citata da
Anno
Gaussian random number generators
DB Thomas, W Luk, PHW Leong, JD Villasenor
ACM Computing Surveys (CSUR) 39 (4), 11-es, 2007
3092007
A comparison of CPUs, GPUs, FPGAs, and massively parallel processor arrays for random number generation
DB Thomas, L Howes, W Luk
Proceedings of the ACM/SIGDA international symposium on Field programmable …, 2009
2522009
Glucagon increases energy expenditure independently of brown adipose tissue activation in humans
V Salem, C Izzi‐Engbeaya, C Coello, DB Thomas, ES Chambers, ...
Diabetes, Obesity and Metabolism 18 (1), 72-81, 2016
1482016
Comparing performance and energy efficiency of FPGAs and GPUs for high productivity computing
B Betkaoui, DB Thomas, W Luk
2010 International Conference on Field-Programmable Technology, 94-101, 2010
1152010
Efficient random number generation and application using CUDA
L Howes, D Thomas
GPU gems 3, 805-830, 2007
1142007
FPGA accelerated simulation of biologically plausible spiking neural networks
D Thomas, W Luk
2009 17th IEEE symposium on field programmable custom computing machines, 45-52, 2009
1092009
A reconfigurable computing approach for efficient and scalable parallel graph exploration
B Betkaoui, Y Wang, DB Thomas, W Luk
2012 IEEE 23rd International Conference on Application-Specific Systems …, 2012
802012
FPGA accelerated low-latency market data feed processing
GW Morris, DB Thomas, W Luk
2009 17th IEEE Symposium on High Performance Interconnects, 83-89, 2009
742009
High quality uniform random number generation using LUT optimised state-transition matrices
DB Thomas, W Luk
The Journal of VLSI Signal Processing Systems for Signal, Image, and Video …, 2007
712007
Redundancy-reduced mobilenet acceleration on reconfigurable logic for imagenet classification
J Su, J Faraone, J Liu, Y Zhao, DB Thomas, PHW Leong, PYK Cheung
Applied Reconfigurable Computing. Architectures, Tools, and Applications …, 2018
682018
A mixed precision Monte Carlo methodology for reconfigurable accelerator systems
GCT Chow, AHT Tse, Q Jin, W Luk, PHW Leong, DB Thomas
Proceedings of the ACM/SIGDA international symposium on Field Programmable …, 2012
642012
A framework for FPGA acceleration of large graph problems: Graphlet counting case study
B Betkaoui, DB Thomas, W Luk, N Przulj
2011 International Conference on Field-Programmable Technology, 1-8, 2011
642011
Non-uniform random number generation through piecewise linear approximations
DB Thomas, W Luk
IET Computers & Digital Techniques 1 (4), 312-321, 2007
582007
Multivariate Gaussian random number generation targeting reconfigurable hardware
DB Thomas, W Luk
ACM Transactions on Reconfigurable Technology and Systems (TRETS) 1 (2), 1-29, 2008
57*2008
The LUT-SR family of uniform random number generators for FPGA architectures
DB Thomas, W Luk
IEEE transactions on very large scale integration (vlsi) systems 21 (4), 761-770, 2013
52*2013
The LUT-SR family of uniform random number generators for FPGA architectures
DB Thomas, W Luk
IEEE transactions on very large scale integration (vlsi) systems 21 (4), 761-770, 2012
522012
Automatic generation and optimisation of reconfigurable financial Monte-Carlo simulations
DB Thomas, JA Bower, W Luk
2007 IEEE International Conf. on Application-specific Systems, Architectures …, 2007
482007
Neural network based reinforcement learning acceleration on fpga platforms
J Su, J Liu, DB Thomas, PYK Cheung
ACM SIGARCH Computer Architecture News 44 (4), 68-73, 2017
432017
Exploring reconfigurable architectures for tree-based option pricing models
Q Jin, DB Thomas, W Luk, B Cope
ACM Transactions on Reconfigurable Technology and Systems (TRETS) 2 (4), 1-17, 2009
42*2009
Dynamic scheduling Monte-Carlo framework for multi-accelerator heterogeneous clusters
HT Anson, DB Thomas, KH Tsoi, W Luk
2010 International Conference on Field-Programmable Technology, 233-240, 2010
402010
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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