DistSim: A performance model of large-scale hybrid distributed DNN training
Published in CF 23, 2023
Publications
AdaptGear: Accelerating GNN Training via Adaptive Subgraph-Level Kernels on GPUs
Published in CF 23, 2023
uGrapher: High-performance Graph Operator Computation via Unified Abstraction for Graph Neural Networks
Published in ASPLOS 23, 2022
Efficient Activation Quantization via Adaptive Rounding Border for Post-Training Quantization
Published in Arvix, 2022
Characterizing and Demystifying the Implicit Convolution Algorithm on Commercial Matrix-Multiplication Accelerators
Published in IISWC 21, 2021
TPUSim: ISA Design and Optimization for Fused Architecture Based Training Accelerator
Published in DAC 20, Poster, 2020