Lecture image placeholder

Premium content

Access to this content requires a subscription. You must be a premium user to view this content.

Monthly subscription - $9.99Pay per view - $4.99Access through your institutionLogin with Underline account
Need help?
Contact us
Lecture placeholder background
VIDEO DOI: https://doi.org/10.48448/t3tn-v363

technical paper

IEEE RTSS 2021

December 09, 2021

Germany

LaLaRAND: Flexible Layer-by-Layer CPU/GPU Scheduling for Real-Time DNN Task

Please log in to leave a comment

Downloads

SlidesPaperTranscript English (automatic)

Next from IEEE RTSS 2021

Time-Predictable Acceleration of Deep Neural Networks on FPGA-based SoC
technical paper

Time-Predictable Acceleration of Deep Neural Networks on FPGA-based SoC

IEEE RTSS 2021

Francesco Restuccia
Francesco Restuccia and 1 other author

09 December 2021

Similar lecture

TimeWall: Enabling Time Partitioning for Real-Time Multicore+Accelerator Platforms
technical paper

TimeWall: Enabling Time Partitioning for Real-Time Multicore+Accelerator Platforms

IEEE RTSS 2021

+3James AndersonTanya Amert
Tanya Amert and 5 other authors

09 December 2021

Stay up to date with the latest Underline news!

Select topic of interest (you can select more than one)

PRESENTATIONS

  • All Lectures
  • For Librarians
  • Resource Center
  • Free Trial
Underline Science, Inc.
1216 Broadway, 2nd Floor, New York, NY 10001, USA

© 2023 Underline - All rights reserved