Building Hardware Accelerators for Environmental Awareness Using Ray-Tracing
Author:
Affiliation:
1. TU Dortmund University,Chair of Embedded Systems,Dortmund,Germany
2. RWTH Aachen University,Institute for Networked Systems,Aachen,Germany
Funder
Ministry of Education
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10596997/10596998/10597055.pdf?arnumber=10597055
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1. Efficient GPU implementation of the time-domain shooting and bouncing rays method on electrically large complex target
2. A GPU-Based Radio Wave Propagation Prediction With Progressive Processing on Point Cloud
3. Tumbler: Energy efficient task scheduling for dual-channel solar-powered sensor nodes;Xu
4. Lightning Talk: Efficient Embedded Machine Learning Deployment on Edge and IoT Devices
5. Is Ray-Tracing Viable for Millimeter-Wave Networking Studies?
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