1 citations · 1 across the 8 of their papers we have counts for
3 papers · 1 filter
Decoupled Control Flow and Data Access in RISC-V GPGPUs
Giuseppe M. Sarda, Nimish Shah, Abubakr Nada +2
Vortex, a newly proposed open-source GPGPU platform based on the RISC-V ISA, offers a valid alternative for GPGPU research over the broadly-used modeling platforms based on commerc…
A Survey of End-to-End Modeling for Distributed DNN Training: Workloads, Simulators, and TCO
Jonas Svedas, Hannah Watson, Nathan Laubeuf +6
Distributed deep neural networks (DNNs) have become a cornerstone for scaling machine learning to meet the demands of increasingly complex applications. However, the rapid growth i…
Addressing memory bandwidth scalability in vector processors for streaming applications
Jordi Altayo, Paul Delestrac, David Novo +3
As the size of artificial intelligence and machine learning (AI/ML) models and datasets grows, the memory bandwidth becomes a critical bottleneck. The paper presents a novel extend…