1 citations · 1 across the 5 of their papers we have counts for
5 papers
GRTX: Efficient Ray Tracing for 3D Gaussian-Based Rendering
Junseo Lee, Sangyun Jeon, Jungi Lee +2
3D Gaussian Splatting has gained widespread adoption across diverse applications due to its exceptional rendering performance and visual quality. While most existing methods rely o…
MX+: Pushing the Limits of Microscaling Formats for Efficient Large Language Model Serving
Jungi Lee, Junyong Park, Soohyun Cha +2
Reduced-precision data formats are crucial for cost-effective serving of large language models (LLMs). While numerous reduced-precision formats have been introduced thus far, they…
VR-Pipe: Streamlining Hardware Graphics Pipeline for Volume Rendering
Junseo Lee, Jaisung Kim, Junyong Park +1
Graphics rendering that builds on machine learning and radiance fields is gaining significant attention due to its outstanding quality and speed in generating photorealistic images…
InfiniGen: Efficient Generative Inference of Large Language Models with Dynamic KV Cache Management
Wonbeom Lee, Jungi Lee, Junghwan Seo +1
Transformer-based large language models (LLMs) demonstrate impressive performance across various natural language processing tasks. Serving LLM inference for generating long conten…
Tender: Accelerating Large Language Models via Tensor Decomposition and Runtime Requantization
Jungi Lee, Wonbeom Lee, Jaewoong Sim
Large language models (LLMs) demonstrate outstanding performance in various tasks in machine learning and have thus become one of the most important workloads in today's computing…