research
∙
08/02/2023
FusionAD: Multi-modality Fusion for Prediction and Planning Tasks of Autonomous Driving
Building a multi-modality multi-task neural network toward accurate and ...
share
research
∙
01/01/2023
MIGPerf: A Comprehensive Benchmark for Deep Learning Training and Inference Workloads on Multi-Instance GPUs
New architecture GPUs like A100 are now equipped with multi-instance GPU...
research
∙
08/30/2022
EasyScale: Accuracy-consistent Elastic Training for Deep Learning
Distributed synchronized GPU training is commonly used for deep learning...
research
∙
12/16/2020
Focusing More on Conflicts with Mis-Predictions Helps Language Pre-Training
In this work, we propose to improve the effectiveness of language pre-tr...
research
∙
01/17/2019
Analysis of Large-Scale Multi-Tenant GPU Clusters for DNN Training Workloads
With widespread advances in machine learning, a number of large enterpri...
research
∙
11/01/2018
