E-LIB Suche - Ergebnisse für: Cassidy, Andrew S.

1

11.4 IBM NorthPole: An Architecture for Neural Network Infe..:

, In: 2024 IEEE International Solid-State Circuits Conference (ISSCC),

Cassidy, Andrew S. ; Arthur, John V. ; Akopyan, Filipp... - p. 214-215 , 2024

Link: https://doi.org/10.1109/..

2

IBM NorthPole Neural Inference Machine:

, In: 2023 IEEE Hot Chips 35 Symposium (HCS),

Modha, Dharmendra S. ; Akopyan, Filipp ; Andreopoulos, Alexander... - p. 1-58 , 2023

Link: https://doi.org/10.1109/..

3

Neural inference at the frontier of energy, space, and time:

Modha, Dharmendra S. ; Akopyan, Filipp ; Andreopoulos, Alexander...
Science. 382 (2023) 6668 - p. 329-335 , 2023

Link: https://doi.org/10.1126/..

4

TrueNorth: Accelerating From Zero to 64 Million Neurons in ..:

DeBole, Michael V. ; Taba, Brian ; Amir, Arnon...
Computer. 52 (2019) 5 - p. 20-29 , 2019

Link: https://doi.org/10.1109/..

5

Convolutional networks for fast, energy-efficient neuromorp..:

Esser, Steven K. ; Merolla, Paul A. ; Arthur, John V....
Proceedings of the National Academy of Sciences. 113 (2016) 41 - p. 11441-11446 , 2016

Link: https://doi.org/10.1073/..

6

Truenorth ecosystem for brain-inspired computing : scala..:

, In: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis,

Sawada, Jun ; Akopyan, Filipp ; Cassidy, Andrew S.... - p. 1-12 , 2016

Link: https://dl.acm.org/doi/1..

7

TrueNorth Ecosystem for Brain-Inspired Computing: Scalable ..:

, In: SC16: International Conference for High Performance Computing, Networking, Storage and Analysis,

Sawada, Jun ; Akopyan, Filipp ; Cassidy, Andrew S.... - p. 130-141 , 2016

Link: https://doi.org/10.1109/..

8

Convolutional networks for fast, energy-efficient neuromorp..:

Esser, Steven K. ; Merolla, Paul A. ; Arthur, John V....
Proceedings of the National Academy of Sciences of the United States of America. 113 (2016) 41 - p. 11441-11446 , 2016

Link: https://www.jstor.org/st..

9

A million spiking-neuron integrated circuit with a scalable..:

Merolla, Paul A. ; Arthur, John V. ; Alvarez-Icaza, Rodrigo...
Science. 345 (2014) 6197 - p. 668-673 , 2014

Link: http://www.jstor.org/sta..

10

Real-time scalable cortical computing at 46 giga-synaptic O..:

, In: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis,

Cassidy, Andrew S. ; Alvarez-Icaza, Rodrigo ; Akopyan, Filipp... - p. 27-38 , 2014

Link: https://dl.acm.org/doi/1..

11

A million spiking-neuron integrated circuit with a scalable..:

Merolla, Paul A. ; Arthur, John V. ; Alvarez-Icaza, Rodrigo...
Science. 345 (2014) 6197 - p. 668-673 , 2014

Link: https://doi.org/10.1126/..

12

Design of silicon brains in the nano-CMOS era: Spiking neur..:

Cassidy, Andrew S. ; Georgiou, Julius ; Andreou, Andreas G.
Neural Networks. 45 (2013) - p. 4-26 , 2013

Link: https://doi.org/10.1016/..

13

High-level modeling and simulation of single-chip programma..:

Paul, Joann M. ; Thomas, Donald E. ; Cassidy, Andrew S.
ACM Transactions on Design Automation of Electronic Systems. 10 (2005) 3 - p. 431-461 , 2005

Link: https://doi.org/10.1145/..

14

High-level modeling and simulation of single-chip programma..:

Paul, Joann M. ; Thomas, Donald E. ; Cassidy, Andrew S.
ACM Transactions on Design Automation of Electronic Systems (TODAES). 10 (2005) 3 - p. 431-461 , 2005

Link: https://dl.acm.org/doi/1..

15

Layered, Multi-Threaded, High-Level Performance Design:

, In: Proceedings of the conference on Design, Automation and Test in Europe - Volume 1,

Cassidy, Andrew S. ; Paul, JoAnn M. ; Thomas, Donald E. - p. 10954 ff. , 2003

Link: https://dl.acm.org/doi/1..