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Found 6 papers, 0 papers with code
Pre-processing matters: A segment search method for WSI classification
Our study analyzes the impact of pre-processing parameters on inference and training across single- and multiple-domain datasets.
On the Compressibility of Quantized Large Language Models
Deploying Large Language Models (LLMs) on edge or mobile devices offers significant benefits, such as enhanced data privacy and real-time processing capabilities.
Timely Fusion of Surround Radar/Lidar for Object Detection in Autonomous Driving Systems
Surround Radar/Lidar can provide 360-degree view sampling with the minimal cost, which are promising sensing hardware solutions for autonomous driving systems.
Miriam: Exploiting Elastic Kernels for Real-time Multi-DNN Inference on Edge GPU
Many applications such as autonomous driving and augmented reality, require the concurrent running of multiple deep neural networks (DNN) that poses different levels of real-time performance requirements.
Moses: Efficient Exploitation of Cross-device Transferable Features for Tensor Program Optimization
Achieving efficient execution of machine learning models has attracted significant attention recently.
Semi-Federated Scheduling of Parallel Real-Time Tasks on Multiprocessors
In this paper we propose the semi-federate scheduling approach, which only grants $x$ dedicated processors to a heavy task with processing capacity requirement $x + \epsilon$, and schedules the remaining $\epsilon$ part together with light tasks on shared processors.
Distributed, Parallel, and Cluster Computing
