[PDF] Top 20 Architecture design for highly flexible and energy-efficient deep neural network accelerators
Has 10000 "Architecture design for highly flexible and energy-efficient deep neural network accelerators" found on our website. Below are the top 20 most common "Architecture design for highly flexible and energy-efficient deep neural network accelerators".
Architecture design for highly flexible and energy-efficient deep neural network accelerators
... accounts for the impact of the finite bandwidth on performance, ...optimized for the height of the colored-only ...except for a few cases at the PE array size of ...all-to-all network is ... Voir le document complet
147
Energy Efficient Techniques using FFT for Deep Convolutional Neural Networks
... mobile and home devices remains ...software-hardware architecture designed to minimize energy consumption required to support computations of high-dimensional convolutions of deep ...The ... Voir le document complet
7
Designing Energy-Efficient Convolutional Neural Networks using Energy-Aware Pruning
... less energy than shallower CNNs with more weights. One network design strategy for reducing the size of a network without sacrificing the accuracy is to make a network thinner ... Voir le document complet
10
DNNZip: Selective Layers Compression Technique in Deep Neural Network Accelerators
... performance and energy ...technique for reducing the memory footprint to store the weights and consequently the traffic induced for delivering them to ...model and a user defined ... Voir le document complet
9
Towards Scalable and Efficient FPGA Stencil Accelerators
... , and a thickness factor τ x ...dimension, and the thickness is computed based on the dependences: the magnitude of the largest dependence vector in that dimen- ...account for values produced by ... Voir le document complet
12
Seismic velocity estimation: A deep recurrent neural-network approach
... required for 3D data processing, simple design options should be tested beforehand on smaller, simplified ...cability. For instance, our NN is adequate only for gently dipping layered earth ... Voir le document complet
10
Power-Efficient Hardware Architecture for Computing Split-Radix FFT on Highly Sparse Spectrum
... used and unused. A common technique for spectrum sensing is Digital Signal Processing (DSP), specifically the Fast Fourier Transform (FFT) ...modulators and filters at the transmitter and ... Voir le document complet
100
Design of a flexible containment system for deep ocean oil spills
... This work has shown that this new type of flexible containment system for deep ocean oil spills can be designed to contain the vast majority of the hydrocarbons[r] ... Voir le document complet
155
Flexible SVBRDF Capture with a Multi-Image Deep Network
... ] and lighting [ LN16 , DCP ∗ 14 , RRFG17 ]. In particular, deep learning is nowadays the method of choice to automatically build priors from data, which al- lows the most recent methods to only use one ... Voir le document complet
14
Design and development of energy-efficient transmission for wireless IoT modules
... ARF for slow channel quality variation but for quick channel quality variation, both are not suitable ...overhead and may lead to the waste of energy consumption [85], ...This energy ... Voir le document complet
176
Design of an energy efficient and economical actuator for automobile windows
... The wholesale price of the existing window actuator components is confidential to a vendor consulted, but it can be said that 75% of the cost of the actuator is the[r] ... Voir le document complet
71
An Energy Efficient Autopilot Design
... way. For about the same power consumption as the PI, the (𝜀 ...data and autopilot orders as inputs to compute the actuator ...environment and actuator simulation, the results in a real case should be ... Voir le document complet
19
LiveWSN: A memory-efficient, energy-efficient, reprogrammable, and fault-tolerant platform for wireless sensor network
... 2 and Shengwu Xiong 1 Abstract Memory optimization, energy conservation, over-the-air reprogramming, and fault tolerance are the critical challenges for the proliferation of the wireless ... Voir le document complet
14
An efficient on-chip configuration infrastructure for a flexible multi-ASIP turbo decoder architecture
... flexibility, energy efficiency and throughput requirement for telecommunication applications leads designers to build dynamically reconfigurable application specific multiprocessor ...UDec ... Voir le document complet
9
Learning Sparse deep neural networks using efficient structured projections on convex constraints for green AI
... memory and computational power. I. M OTIVATION Deep neural networks have been applied recently to different domains and have shown a dramatic improvement in accuracy of image recognition [1], ... Voir le document complet
9
Computational design of energy-efficient legged robots: Optimizing for size and actuators
... optimization) and account for friction in the cost ...the energy losses is that, on the real system, where friction torques are compensated by the actuator, the generated motion becomes ... Voir le document complet
8
Fast Integration of Hardware Accelerators for Dynamically Reconfigurable Architecture
... on for a particular interaction. For hardware IPs, the ones having a sole slave interface will require providing the data directly to the IP ...memory and interaction with ...data, and fill it ... Voir le document complet
8
Lateral fligh control design for a highly flexible aircraft using a nonsmooth method
... β and φ are depicted in Figure ...considered for two extreme load conditions: the lightest and the heaviest ...expected for intermediate ...unsatisfactory for a given intermediate load ... Voir le document complet
9
Design under constraints of Dependability and Energy for Wireless Sensor Network
... Company, and sponsored by Brittany region and General Council (CG56) ...solutions and security system for the prevention, monitoring, maintenance and remote ...novel design ... Voir le document complet
139
Microclouds : an approach for a network-aware energy-efficient decentralised cloud
... reduce energy consumption. Thus, setting some of the elements in the network to sleep implies a re-routing of data along the remaining ...reduce energy consumption by setting network devices ... Voir le document complet
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