1 citations · 1 across the 3 of their papers we have counts for
3 papers
Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs
Pierre Abillama, Changwoo Lee, Juechu Dong +3
Recent advances in transformer-based foundation models have made them the default choice for many tasks, but their rapidly growing size makes fitting a full model on a single GPU i…
Microscopic Robots That Sense, Think, Act, and Compute
Maya M. Lassiter, Jungho Lee, Kyle Skelil +7
While miniaturization has been a goal in robotics for nearly 40 years, roboticists have struggled to access sub-millimeter dimensions without making sacrifices to on-board informat…
SQ-DM: Accelerating Diffusion Models with Aggressive Quantization and Temporal Sparsity
Zichen Fan, Steve Dai, Rangharajan Venkatesan +2
Diffusion models have gained significant popularity in image generation tasks. However, generating high-quality content remains notably slow because it requires running model infer…