Search Results for author:
Found 6 papers, 4 papers with code
HawkVision: Low-Latency Modeless Edge AI Serving
The trend of modeless ML inference is increasingly growing in popularity as it hides the complexity of model inference from users and caters to diverse user and application accuracy requirements.
Carbon Connect: An Ecosystem for Sustainable Computing
For embodied carbon, we must re-think conventional design strategies -- over-provisioned monolithic servers, frequent hardware refresh cycles, custom silicon -- and adopt life-cycle design strategies that more effectively reduce, reuse and recycle hardware at scale.
THC: Accelerating Distributed Deep Learning Using Tensor Homomorphic Compression
To address this bottleneck and accelerate training, a widely-deployed approach is compression.
Teal: Learning-Accelerated Optimization of WAN Traffic Engineering
The rapid expansion of global cloud wide-area networks (WANs) has posed a challenge for commercial optimization engines to efficiently solve network traffic engineering (TE) problems at scale.
Multi-agent Reinforcement Learning
Reinforcement Learning (RL)
Cheetah: Accelerating Database Queries with Switch Pruning
In this paper, we leverage programmable switches in the network to partially offload query computation to the switch.
Databases Networking and Internet Architecture
Automating Botnet Detection with Graph Neural Networks
Botnets are now a major source for many network attacks, such as DDoS attacks and spam.
