A reconfigurable CNN-based accelerator design for fast and energy-efficient object detection system on mobile FPGA
VH Kim, KK Choi - IEEE Access, 2023 - ieeexplore.ieee.org
In limited-resource edge computing circumstances such as on mobile devices, IoT devices,
and electric vehicles, the energy-efficient optimized convolutional neural network (CNN) …
and electric vehicles, the energy-efficient optimized convolutional neural network (CNN) …
Power optimized SRAM cell with high radiation hardened for aerospace applications
The SRAM cells suffer from soft errors under high radiation environment like aerospace and
satellite applications. Few radiations hardened based popular cells are 12T Dice and 12T …
satellite applications. Few radiations hardened based popular cells are 12T Dice and 12T …
[HTML][HTML] A High-Performance and Ultra-Low-Power Accelerator Design for Advanced Deep Learning Algorithms on an FPGA
A Gundrapally, YA Shah, N Alnatsheh, KK Choi - Electronics, 2024 - mdpi.com
This article addresses the growing need in resource-constrained edge computing scenarios
for energy-efficient convolutional neural network (CNN) accelerators on mobile Field …
for energy-efficient convolutional neural network (CNN) accelerators on mobile Field …
DURE: An energy-and resource-efficient TCAM architecture for FPGAs with dynamic updates
Ternary content-addressable memory (TCAM) designed using static random-access
memory (SRAM)-based field-programmable gate arrays (FPGAs) offers a promising lookup …
memory (SRAM)-based field-programmable gate arrays (FPGAs) offers a promising lookup …
Rapid: Approximate pipelined soft multipliers and dividers for high throughput and energy efficiency
The rapid updates in error-resilient applications along with their quest for high throughput
has motivated designing fast approximate functional units for field-programmable gate …
has motivated designing fast approximate functional units for field-programmable gate …
RISC32-LP: Low-power FPGA-based IoT sensor nodes with energy reduction program analyzer
Field-programmable gate array (FPGA)-based sensor nodes are popular for their flexible
design approach and field reconfigurability. RISC32 is one of the recent Internet of Things …
design approach and field reconfigurability. RISC32 is one of the recent Internet of Things …
[HTML][HTML] Intelligent Monitoring System with Privacy Preservation Based on Edge AI
Currently, the trend of elderly people living alone is rising due to rapid aging and shifts in
family structures. Accordingly, the efficient implementation and management of monitoring …
family structures. Accordingly, the efficient implementation and management of monitoring …
PERA: Power-Efficient Routing Architecture for SRAM-Based FPGAs in Dark Silicon Era
The ever-increasing rate of static power consumption in nanoscale technologies, and
consequently, the breakdown of Dennard scaling acts as a power wall for further device …
consequently, the breakdown of Dennard scaling acts as a power wall for further device …
Statistical analysis of 5T SRAM cell for low power and less area SRAM based cache memory for IoT applications
The (static random access memory) SRAM cell plays an important role to design a balanced
and optimized processor for cache memory. Typically, the primary 6T SRAM cell gives more …
and optimized processor for cache memory. Typically, the primary 6T SRAM cell gives more …
DANSEN: Database acceleration on native computational storage by exploiting NDP
This article introduces DANSEN, the hardware accelerator component for neoDBMS, a full-
stack computational storage system designed to manage on-device execution of database …
stack computational storage system designed to manage on-device execution of database …