Graph acceleration solution with cloud FPGA
US12332828B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 30, 2022 |
| Grant date | Jun 17, 2025 |
| Priority date | — |
| Expiry date | Sep 17, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2213/0026
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
This application describes systems and methods for facilitating memory access for graph neural network (GNN) processing. An example method includes fetching, by an access engine circuitry implemented on a circuitry board, a portion of structure data of a graph from a pinned memory in a host memory of a host via a first peripheral component interconnect express (PCIe) connection; performing node sampling using the fetched portion of the structure data of the graph to select one or more sampled nodes; fetching, by the access engine circuitry, a portion of attribute data of the graph from the pinned memory via the first PCIe connection; sending the fetched portion of the attribute data of the graph to one or more processors; and performing, by the one or more processors, GNN processing for the graph using the fetched portion of the attribute data of the graph.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.