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Deep learning processor
DEEP-Hybriddatacloud ASSESSMENT of AVAILABLE TECHNOLOGIES for SUPPORTING ACCELERATORS and HPC, INITIAL DESIGN and IMPLEMENTATION PLAN
Wire-Aware Architecture and Dataflow for CNN Accelerators
Efficient Management of Scratch-Pad Memories in Deep Learning
Efficient Processing of Deep Neural Networks
Accelerate Scientific Deep Learning Models on Heteroge- Neous Computing Platform with FPGA
Exploring the Programmability for Deep Learning Processors: from Architecture to Tensorization Chixiao Chen, Huwan Peng, Xindi Liu, Hongwei Ding and C.-J
Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications
Energy-Efficient Neural Network Architectures
Deep Learning in Mobile and Wireless Networking: a Survey Chaoyun Zhang, Paul Patras, and Hamed Haddadi
Packing Sparse Convolutional Neural Networks for Efficient Systolic Array Implementations: Column Combining Under Joint Optimization
The Use of Appropriate Hardware Fabrics to Achieve a Low Latency
Mobile/Embedded DNN and AI Socs
DLIR: an Intermediate Representation for Deep Learning Processors
Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications
FROM RIDING a WAVE to FULL STEAM AHEAD As China’S Government Mobilizes for AI Leadership, Some Challenges Will Be Tougher Than Others
A TRANSFER LEARNING APPROACH to OBJECT DETECTION ACCELERATION for EMBEDDED APPLICATIONS by Lauren M
Data Visualization for Benchmarking Neural Networks in Different Hardware Platforms
Growing Market Share by Embracing AI
Top View
Machine Learning and Deep Learning Frameworks and Libraries for Large-Scale Data Mining: a Survey
Vitis AI User Guide
Artificial Intelligence
Gate Recurrent Unit Neural Networks for Hearing Instruments
An Overview of Machine Learning Within Embedded and Mobile Devices–Optimizations and Applications
A Survey of FPGA Based Cnns Accelerators
Design of Power-Efficient Training Accelerator for Convolution Neural Networks
An FPGA-Based Resource-Saving Hardware Accelerator for Deep Neural Network
Circnn: Accelerating and Compressing Deep Neural Networks Using Block-Circulant Weight Matrices
Spiking Neural Networks Hardware Implementations and Challenges: a Survey
Energy-Efficient Computing-In-Memory Architecture
An Updated Survey of Efficient Hardware Architectures For
Kisaco Leadership Chart on AI Hardware Accelerators 2020-21 (Part 3): Edge and Automotive
Technology, Media and Telecommunications Predictions 2018 Contents
Increasing FPS for Single Board Computers and Embedded Computers in 2021 (Jetson Nano and Yovov4-Tiny). Practice and Review Ilda
Deep Learning for Iot Big Data and Streaming Analytics: a Survey