11 citations · 16 across the 32 of their papers we have counts for
4 papers · 1 filter
Potamoi: Accelerating Neural Rendering via a Unified Streaming Architecture
Yu Feng, Weikai Lin, Zihan Liu +6
Neural Radiance Field (NeRF) has emerged as a promising alternative for photorealistic rendering. Despite recent algorithmic advancements, achieving real-time performance on today'…
vTensor: Flexible Virtual Tensor Management for Efficient LLM Serving
Jiale Xu, Rui Zhang, Cong Guo +11
Large Language Models (LLMs) are widely used across various domains, processing millions of daily requests. This surge in demand poses significant challenges in optimizing throughp…
AutoVCoder: A Systematic Framework for Automated Verilog Code Generation using LLMs
Mingzhe Gao, Jieru Zhao, Zhe Lin +5
Recently, the use of large language models (LLMs) for software code generation, e.g., C/C++ and Python, has proven a great success. However, LLMs still suffer from low syntactic an…
Cicero: Addressing Algorithmic and Architectural Bottlenecks in Neural Rendering by Radiance Warping and Memory Optimizations
Yu Feng, Zihan Liu, Jingwen Leng +2
Neural Radiance Field (NeRF) is widely seen as an alternative to traditional physically-based rendering. However, NeRF has not yet seen its adoption in resource-limited mobile syst…