Yuyang Li;Vijay Shankaran Vivekanand;Rajkumar Kubendran;Inhee Lee
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引用次数: 0
Abstract
This brief introduces a compact-size hardware accelerator for dynamic neural fields (DNF) used in object tracking. To address the substantial computational workload and memory occupancy associated with conventional DNFs, three key approaches are implemented: kernel size reduction and abstraction, the replacement of sigmoidal functions with comparison operations, and the approximation of rectangular-shaped objects. The design is realized in a 28-nm CMOS process, resulting in a layout with an area of 0.53 mm2. Simulation results demonstrate that the accelerator processes
$256 \times 256$
dynamic vision sensor (DVS) frames at 211 frames per second (fps), with a power consumption of 1.68 mW under such conditions.
期刊介绍:
The IEEE Transactions on VLSI Systems is published as a monthly journal under the co-sponsorship of the IEEE Circuits and Systems Society, the IEEE Computer Society, and the IEEE Solid-State Circuits Society.
Design and realization of microelectronic systems using VLSI/ULSI technologies require close collaboration among scientists and engineers in the fields of systems architecture, logic and circuit design, chips and wafer fabrication, packaging, testing and systems applications. Generation of specifications, design and verification must be performed at all abstraction levels, including the system, register-transfer, logic, circuit, transistor and process levels.
To address this critical area through a common forum, the IEEE Transactions on VLSI Systems have been founded. The editorial board, consisting of international experts, invites original papers which emphasize and merit the novel systems integration aspects of microelectronic systems including interactions among systems design and partitioning, logic and memory design, digital and analog circuit design, layout synthesis, CAD tools, chips and wafer fabrication, testing and packaging, and systems level qualification. Thus, the coverage of these Transactions will focus on VLSI/ULSI microelectronic systems integration.