most citedOptimizing Tensor Train Decomposition in DNNs for RISC-V Architectures Using Design Space Exploration and Compiler Optimizations

1 citations · 1 across the 1 of their papers we have counts for

collaborators

2 papers

cs.LG2026★ 1 cited

Optimizing Tensor Train Decomposition in DNNs for RISC-V Architectures Using Design Space Exploration and Compiler Optimizations

Theologos Anthimopoulos, Milad Kokhazadeh, Vasilios Kelefouras +2

Deep neural networks (DNNs) have become indispensable in many real-life applications like natural language processing, and autonomous systems. However, deploying DNNs on resource-c…

cs.DC2024

Energy Efficiency Support for Software Defined Networks: a Serverless Computing Approach

Fatemeh Banaie, Karim Djemame, Abdulaziz Alhindi +1

Automatic network management strategies have become paramount for meeting the needs of innovative real-time and data-intensive applications, such as in the Internet of Things. Howe…