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Syed Asad Alam
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All published works
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Title
Year
Authors
+
PDF
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Winograd Convolution for Deep Neural Networks: Efficient Point Selection
2022
Syed Asad Alam
Andrew Anderson
Barbara Barabasz
David Gregg
+
On the RTL Implementation of FINN Matrix Vector Compute Unit
2022
Syed Asad Alam
David Gregg
Giulio Gambardella
Thomas B. PreuĂer
Michaela Blott
+
Winograd Convolution for Deep Neural Networks: Efficient Point Selection
2022
Syed Asad Alam
A. W. Anderson
Barbara Barabasz
David Gregg
+
PDF
Chat
Low-precision Logarithmic Number Systems
2021
Syed Asad Alam
J. W. Garland
David Gregg
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Low precision logarithmic number systems: Beyond base-2
2021
Syed Asad Alam
J. W. Garland
David Gregg
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A unified approach to the design and implementation of computation sharing multipliers : Computation sharing multipliers
2016
Syed Asad Alam
Oscar Gustafsson
Common Coauthors
Coauthor
Papers Together
David Gregg
5
J. W. Garland
2
Barbara Barabasz
2
Oscar Gustafsson
1
Michaela Blott
1
Giulio Gambardella
1
Thomas B. PreuĂer
1
A. W. Anderson
1
Andrew Anderson
1
Commonly Cited References
Action
Title
Year
Authors
# of times referenced
+
PDF
Chat
PULP-NN: accelerating quantized neural networks on parallel ultra-low-power RISC-V processors
2019
Angelo Garofalo
Manuele Rusci
Francesco Conti
Davide Rossi
Luca Benini
2
+
The Sign/Logarithm Number System
1975
Earl E. Swartzlander
Argyrios Alexopoulos
2
+
Convolutional Neural Networks using Logarithmic Data Representation
2016
Daisuke Miyashita
Edward H. Lee
Boris Murmann
2
+
Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations
2016
Itay Hubara
Matthieu Courbariaux
Daniel Soudry
Ran ElâYaniv
Yoshua Bengio
2
+
Norm estimates for inverses of Vandermonde matrices
1974
Walter Gautschi
1
+
PDF
Chat
Going deeper with convolutions
2015
Christian Szegedy
Wei Liu
Yangqing Jia
Pierre Sermanet
Scott Reed
Dragomir Anguelov
Dumitru Erhan
Vincent Vanhoucke
Andrew Rabinovich
1
+
Theory and applications of the double-base number system
1999
Vassil S. Dimitrov
G.A. Jullien
William C. Miller
1
+
PDF
Chat
Deep Residual Learning for Image Recognition
2016
Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
1
+
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
2016
Forrest Iandola
Song Han
Matthew W. Moskewicz
Khalid Ashraf
William J. Dally
Kurt Keutzer
1
+
PDF
Chat
Enabling mixed-precision quantized neural networks in extreme-edge devices
2020
Nazareno Bruschi
Angelo Garofalo
Francesco Conti
Giuseppe Tagliavini
Davide Rossi
1
+
PDF
Chat
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
2016
Mohammad Rastegari
Vicente Ordóùez
Joseph Redmon
Ali Farhadi
1
+
Low-Power Digital Filtering Based on the Logarithmic Number System
2007
Ch. Basetas
Ioannis Kouretas
Vassilis Paliouras
1
+
PDF
Chat
FFT-based deep learning deployment in embedded systems
2018
Sheng Lin
Ning Liu
Mahdi Nazemi
Hongjia Li
Caiwen Ding
Yanzhi Wang
Massoud Pedram
1
+
PDF
Chat
DWM: A Decomposable Winograd Method for Convolution Acceleration
2020
Di Huang
Xishan Zhang
Rui Zhang
Tian Zhi
Deyuan He
Jiaming Guo
Chang Liu
Qi Guo
Zidong Du
Shaoli Liu
1
+
PDF
Chat
Efficient Winograd or Cook-Toom Convolution Kernel Implementation on Widely Used Mobile CPUs
2019
Partha Maji
Andrew Mundy
Ganesh Dasika
Jesse Beu
Matthew Mattina
Robert Mullins
1
+
PDF
Chat
Error Analysis and Improving the Accuracy of Winograd Convolution for Deep Neural Networks
2020
Barbara Barabasz
Andrew Anderson
Kirk M. Soodhalter
David Gregg
1
+
Automatic derivation and implementation of fast convolution algorithms
2003
Jeremy Johnson
Anthony Breitzman
1
+
The ubiquitous Kronecker product
2000
Charles F. Van Loan
1