Pathfinding Future PIM Architectures by Demystifying a Commercial PIM Technology

GROW: A Row-Stationary Sparse-Dense GEMM Accelerator for Memory-Efficient Graph Convolutional Neural Networks

DiVa: An Accelerator for Differentially Private Machine Learning

ARK: Fully Homomorphic Encryption Accelerator with Runtime Data Generation and Inter-Operation Key Reuse

PARIS and ELSA: An Elastic Scheduling Algorithm for Reconfigurable Multi-GPU Inference Servers

SmartSAGE: Training Large-scale Graph Neural Networks using In-Storage Processing Architectures

Training Personalized Recommendation Systems from (GPU) Scratch: Look Forward not Backwards

BTS: An Accelerator for Bootstrappable Fully Homomorphic Encryption

TRiM: Enhancing Processor-Memory Interfaces with Scalable Tensor Reduction in Memory

Characterization and Analysis of Deep Learning for 3D Point Cloud Analytics