192 citations · 638 across the 26 of their papers we have counts for
29 papers
Gleanmer: A 6 mW SoC for Real-Time 3D Gaussian Occupancy Mapping
Zih-Sing Fu, Peter Zhi Xuan Li, Sertac Karaman +1
High-fidelity 3D occupancy mapping is essential for many edge-based applications (such as AR/VR and autonomous navigation) but is limited by power constraints. We present Gleanmer,…
Tailors: Accelerating Sparse Tensor Algebra by Overbooking Buffer Capacity
Zi Yu Xue, Yannan Nellie Wu, Joel S. Emer +1
Sparse tensor algebra is a challenging class of workloads to accelerate due to low arithmetic intensity and varying sparsity patterns. Prior sparse tensor algebra accelerators have…
GMMap: Memory-Efficient Continuous Occupancy Map Using Gaussian Mixture Model
Peter Zhi Xuan Li, Sertac Karaman, Vivienne Sze
Energy consumption of memory accesses dominates the compute energy in energy-constrained robots which require a compact 3D map of the environment to achieve autonomy. Recent mappin…
HighLight: Efficient and Flexible DNN Acceleration with Hierarchical Structured Sparsity
Yannan Nellie Wu, Po-An Tsai, Saurav Muralidharan +3
Due to complex interactions among various deep neural network (DNN) optimization techniques, modern DNNs can have weights and activations that are dense or sparse with diverse spar…
RAELLA: Reforming the Arithmetic for Efficient, Low-Resolution, and Low-Loss Analog PIM: No Retraining Required!
Tanner Andrulis, Joel S. Emer, Vivienne Sze
Processing-In-Memory (PIM) accelerators have the potential to efficiently run Deep Neural Network (DNN) inference by reducing costly data movement and by using resistive RAM (ReRAM…
Efficient Computation of Map-scale Continuous Mutual Information on Chip in Real Time
Keshav Gupta, Peter Zhi Xuan Li, Sertac Karaman +1
Exploration tasks are essential to many emerging robotics applications, ranging from search and rescue to space exploration. The planning problem for exploration requires determini…