Skip to main navigation
Skip to search
Skip to main content
Technion - Israel Institute of Technology Home
Help & Support
Link opens in a new tab
Search content at Technion - Israel Institute of Technology
Home
Researchers
Faculties
Research output
Enhancing DNN Computational Efficiency via Decomposition and Approximation
Ori Schweitzer
, Uri Weiser
, Freddy Gabbay
Electrical and Computer Engineering
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Enhancing DNN Computational Efficiency via Decomposition and Approximation'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Computer Science
Approximation (Algorithm)
100%
Deep Neural Network
100%
Computational Efficiency
100%
Microarchitecture
33%
Computational Resource
33%
Resource Allocation
33%
Sparsity
16%
Power Consumption
16%
Processing Element
16%
Natural Language Processing
16%
Case Study
16%
Computational Time
16%
Resource Utilisation
16%
Processing Task
16%
Energy Efficiency
16%
Systolic Arrays
16%
Keyphrases
Prominent Attributes
20%
Systolic Array Accelerator
20%
Neural Network Reduction
20%