Highly scalable nonvolatile TiOx/TaSiOy solid-electrolyte crossbar switch integrated in local interconnect for low power reconfigurable logic

Author(s):  
M. Tada ◽  
T. Sakamoto ◽  
Y. Tsuji ◽  
N. Banno ◽  
Y. Saito ◽  
...  
2021 ◽  
Vol 20 (3) ◽  
pp. 1-22
Author(s):  
David Langerman ◽  
Alan George

High-resolution, low-latency apps in computer vision are ubiquitous in today’s world of mixed-reality devices. These innovations provide a platform that can leverage the improving technology of depth sensors and embedded accelerators to enable higher-resolution, lower-latency processing for 3D scenes using depth-upsampling algorithms. This research demonstrates that filter-based upsampling algorithms are feasible for mixed-reality apps using low-power hardware accelerators. The authors parallelized and evaluated a depth-upsampling algorithm on two different devices: a reconfigurable-logic FPGA embedded within a low-power SoC; and a fixed-logic embedded graphics processing unit. We demonstrate that both accelerators can meet the real-time requirements of 11 ms latency for mixed-reality apps. 1


2011 ◽  
Vol 58 (12) ◽  
pp. 4398-4406 ◽  
Author(s):  
Munehiro Tada ◽  
Koichiro Okamoto ◽  
Toshitsugu Sakamoto ◽  
Makoto Miyamura ◽  
Naoki Banno ◽  
...  

2010 ◽  
Vol 57 (8) ◽  
pp. 1987-1995 ◽  
Author(s):  
Munehiro Tada ◽  
Toshitsugu Sakamoto ◽  
Naoki Banno ◽  
Masakazu Aono ◽  
Hiromitsu Hada ◽  
...  

2012 ◽  
Author(s):  
H. Hada ◽  
T. Sakamoto ◽  
M. Tada ◽  
N. Banno ◽  
M. Miyamura ◽  
...  

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