Stanford Seminar - Neural Networks on Chip Design from the User Perspective

Stanford University via YouTube

YouTube

60 Cursos


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Resumen

Explora la vanguardia de las redes neuronales en el diseño de chips, centrándose en las perspectivas de los usuarios, en el próximo Seminario de Stanford. Esta sesión se adentra en la evolución de las arquitecturas de hardware personalizadas diseñadas para mejorar la eficiencia energética del procesamiento de inferencia de aprendizaje profundo. Con un especial interés en integrar la emergente tecnología de Memoria No Volátil (NVM), el seminario promete ofrecer perspectivas sobre el potencial de la computación en memoria, atrayendo tanto a intereses académicos como industriales. Revisaremos nuestras contribuciones al diseño de la Unidad de Procesamiento de Aprendizaje Profundo (DPU) en plataformas FPGA dentro de la Universidad de Tsinghua y Deephi. La discusión se extenderá para introducir características centradas en el usuario como la interrupción y la virtualización en los aceleradores. Además, el seminario abordará los desafíos críticos de asegurar la fiabilidad y seguridad en los aceleradores de redes neuronales (NN), iluminando soluciones preliminares para los problemas encontrados con las tecnologías FPGA y NVM. Únete a nosotros para esta sesión esclarecedora presentada por la Universidad de Stanford, ahora disponible en YouTube. Ideal para entusiastas y profesionales interesados en los cursos de Redes Neuronales y FPGA.

Programa de estudio


Enseñado por

Stanford Online


Etiquetas

united states

provider YouTube

YouTube

34 Cursos


YouTube

pricing Free Online Course
language English
duration 58 minutes
sessions On-Demand