A survey of deep learning on mobile devices: Applications, optimizations, challenges, and research opportunities
Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional Pruning
In this paper, we propose TECO, a multi-dimensional pruning framework to collaboratively
prune the three dimensions (depth, width, and resolution) of convolutional neural networks …
prune the three dimensions (depth, width, and resolution) of convolutional neural networks …
D-STACK: High Throughput DNN Inference by Effective Multiplexing and Spatio-Temporal Scheduling of GPUs
Hardware accelerators such as GPUs are required for real-time, low latency inference with
Deep Neural Networks (DNN). Providing inference services in the cloud can be resource …
Deep Neural Networks (DNN). Providing inference services in the cloud can be resource …
Stress-Testing USB Accelerators for Efficient Edge Inference
Several manufacturers sell specialized USB devices for accelerating machine learning (ML)
on the edge. While being generally promoted as a versatile solution for more efficient edge …
on the edge. While being generally promoted as a versatile solution for more efficient edge …
Hardware Accelerators for Autonomous Cars: A Review
R Islayem, F Alhosani, R Hashem, A Alzaabi… - arxiv preprint arxiv …, 2024 - arxiv.org
Autonomous Vehicles (AVs) redefine transportation with sophisticated technology,
integrating sensors, cameras, and intricate algorithms. Implementing machine learning in AV …
integrating sensors, cameras, and intricate algorithms. Implementing machine learning in AV …
Energy modeling of inference workloads with AI accelerators at the Edge: A benchmarking study
Analyzing and modeling the performance and energy consumption of hybrid Edge
Computing systems with embedded devices and Artificial Intelligence (AI) accelerators is …
Computing systems with embedded devices and Artificial Intelligence (AI) accelerators is …
On Hardware-Aware Design and Optimization of Edge Intelligence
On Hardware-Aware Design and Optimization of Edge Intelligence Page 1 On Hardware-Aware
Design and Optimization of Edge Intelligence Shuo Huai∗†, Hao Kong∗†, **angzhong Luo∗ …
Design and Optimization of Edge Intelligence Shuo Huai∗†, Hao Kong∗†, **angzhong Luo∗ …
Deep Learning Techniques in Big Data-Enabled Internet-of-Things Devices
Due to the development in various tools and deep learning (DL) techniques that might be
helpful in evaluating Internet of Things (IoT) big data, the integration of the IoT with DL has …
helpful in evaluating Internet of Things (IoT) big data, the integration of the IoT with DL has …