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RAMAN: A Re-configurable and Sparse tinyML Accelerator for Inference on
  Edge

RAMAN: A Re-configurable and Sparse tinyML Accelerator for Inference on Edge

10 June 2023
Adithya Krishna
Srikanth Rohit Nudurupati
Chandana D G
Pritesh Dwivedi
André van Schaik
M. Mehendale
Chetan Singh Thakur
ArXivPDFHTML

Papers citing "RAMAN: A Re-configurable and Sparse tinyML Accelerator for Inference on Edge"

5 / 5 papers shown
Title
HyperCam: Low-Power Onboard Computer Vision for IoT Cameras
HyperCam: Low-Power Onboard Computer Vision for IoT Cameras
Chae Young Lee
Maxwell Fite
Tejus Rao
Sara Achour
Zerina Kapetanovic
VLM
38
1
0
17 Jan 2025
Flex-PE: Flexible and SIMD Multi-Precision Processing Element for AI
  Workloads
Flex-PE: Flexible and SIMD Multi-Precision Processing Element for AI Workloads
Mukul Lokhande
Gopal Raut
Santosh Kumar Vishvakarma
81
1
0
16 Dec 2024
HYDRA: Hybrid Data Multiplexing and Run-time Layer Configurable DNN
  Accelerator
HYDRA: Hybrid Data Multiplexing and Run-time Layer Configurable DNN Accelerator
Sonu Kumar
Komal Gupta
Gopal Raut
Mukul Lokhande
Santosh Kumar Vishvakarma
AI4CE
24
0
0
08 Sep 2024
Training for temporal sparsity in deep neural networks, application in
  video processing
Training for temporal sparsity in deep neural networks, application in video processing
Amirreza Yousefzadeh
Manolis Sifalakis
29
3
0
15 Jul 2021
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
950
20,572
0
17 Apr 2017
1