| KEYWORD |
Study and Development of Reliable Accelerators for Vision Transformers
Parole chiave AI ACCELERATOR, EMBEDDED SYSTEM, RELIABILITY, SPACE APPLICATION
Riferimenti SARAH AZIMI, LUCA STERPONE
Gruppi di ricerca DAUIN - GR-05 - ELECTRONIC CAD & RELIABILITY GROUP - CAD
Tipo tesi RESEARCH / EXPERIMENTAL
Descrizione The advent of Vision Transformers (ViTs) has revolutionized computer vision tasks, showcasing remarkable performance on image classification and other vision-related applications. However, to deploy ViTs in real-world scenarios, addressing their computational demands becomes crucial. This proposal outlines a comprehensive study aimed at developing reliable accelerators for Vision Transformers execution.Leveraging systolic arrays as an efficient and high-performance hardware solution to accelerate Neural Network workloads, the research will commence with an open-source Systolic Array and concentrate on constructing a reliable and efficient ViT accelerator.
Objectives:
-Design and implement an HDL model for accelerating Vision Transformers using open-source hardware systolic array-based accelerators.
-The accelerator will be implemented on SRAM-based FPGA.
-Evaluate the impact of hardware faults on the performance of the accelerator and, consequently, on ViT execution at the application level.
-Investigate and propose mitigation strategies to enhance the reliability of the ViT accelerator in the presence of hardware faults.
Conoscenze richieste Hardware Language such as VHDL or Verilog
Scadenza validita proposta 24/01/2025
PROPONI LA TUA CANDIDATURA