hdtorch
PyTorch-based hyperdimensional computing library
HDTorch is a PyTorch-based library designed for hyperdimensional computing, featuring custom CUDA extensions to accelerate hypervector operations. It is utilized for analyzing HDC benchmark datasets, focusing on accuracy, runtime, and memory usage. The workflow involves initializing basis vectors, encoding features, and aggregating vectors of the same class.
Machine LearningOptimizationTensorFlow
- Technical
- Source code: Lab Github
- Last commit: 2023-10-18
The Embedded Systems Laboratory (ESL) is part of the Institute of Electrical Engineering at EPFL, and focuses on the definition of system-level multi-objective design methods, optimization methodologies and tools for high-performance embedded systems and nano-scale Multi-Processor System-on-Chip (MPSoC) architectures targeting the Internet-of-Things (IoT) Era.
This page was last edited on 2024-02-20.
This page was last edited on 2024-02-20.