163 citations · 237 across the 11 of their papers we have counts for
4 papers · 1 filter
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…
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…