research
∙
03/31/2023
D-STACK: High Throughput DNN Inference by Effective Multiplexing and Spatio-Temporal Scheduling of GPUs
Hardware accelerators such as GPUs are required for real-time, low-laten...
share
research
∙
03/08/2023
MiddleNet: A Unified, High-Performance NFV and Middlebox Framework with eBPF and DPDK
Traditional network resident functions (e.g., firewalls, network address...
research
∙
06/04/2021
Analyzing Open-Source Serverless Platforms: Characteristics and Performance
Serverless computing is increasingly popular because of its lower cost a...
research
∙
08/31/2020
CoShare: An Efficient Approach for Redundancy Allocation in NFV
An appealing feature of Network Function Virtualization (NFV) is that in...
research
∙
08/08/2020
Spatial Sharing of GPU for Autotuning DNN models
GPUs are used for training, inference, and tuning the machine learning m...
research
∙
11/18/2019
