research
∙
09/20/2023
GME: GPU-based Microarchitectural Extensions to Accelerate Homomorphic Encryption
Fully Homomorphic Encryption (FHE) enables the processing of encrypted d...
share
research
∙
01/25/2023
Flexagon: A Multi-Dataflow Sparse-Sparse Matrix Multiplication Accelerator for Efficient DNN Processing
Sparsity is a growing trend in modern DNN models. Existing Sparse-Sparse...
research
∙
01/28/2022
Puppeteer: A Random Forest-based Manager for Hardware Prefetchers across the Memory Hierarchy
Over the years, processor throughput has steadily increased. However, th...
research
∙
03/14/2021
A Taxonomy for Classification and Comparison of Dataflows for GNN Accelerators
Recently, Graph Neural Networks (GNNs) have received a lot of interest b...
research
∙
08/05/2020
MGPU-TSM: A Multi-GPU System with Truly Shared Memory
The sizes of GPU applications are rapidly growing. They are exhausting t...
research
∙
07/08/2020
HALCONE : A Hardware-Level Timestamp-based Cache Coherence Scheme for Multi-GPU systems
While multi-GPU (MGPU) systems are extremely popular for compute-intensi...
research
∙
06/10/2020
