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04/22/2023
Collie: Finding Performance Anomalies in RDMA Subsystems
High-speed RDMA networks are getting rapidly adopted in the industry for...
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05/05/2022
dPRO: A Generic Profiling and Optimization System for Expediting Distributed DNN Training
Distributed training using multiple devices (e.g., GPUs) has been widely...
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02/16/2022
Aryl: An Elastic Cluster Scheduler for Deep Learning
Companies build separate training and inference GPU clusters for deep le...
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01/27/2022
Prediction of GPU Failures Under Deep Learning Workloads
Graphics processing units (GPUs) are the de facto standard for processin...
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12/16/2021
BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing
Graph neural networks (GNNs) have extended the success of deep neural ne...
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09/18/2021
Serving DNN Models with Multi-Instance GPUs: A Case of the Reconfigurable Machine Scheduling Problem
Multi-Instance GPU (MIG) is a new feature introduced by NVIDIA A100 GPUs...
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05/22/2021
