Description
chair: Lucio Pancheri, Roberto Amendola
The growing demand for ever-larger datasets is a clear trend across nearly all areas of experimental physics. While computing power is essential for the processing farm responsible for handling these datasets, inefficient data movement can significantly undermine its effectiveness. Traditional networking stacks, responsible for managing network traffic, typically handle data via multiple...
The APE Router, developed by the INFN APE group, allows to implement a direct network for FPGA accelerators, enabling low-latency data transfer. This IP can be configured at design time for different environments, making it adaptable for applications ranging from embedded systems to large-scale HPC clusters and distributed FPGA-based systems.
Various applications will be presented,...
The Artificial Retina is a computing architecture conceived for track reconstruction, particularly suitable for implementation on FPGAs. Its high throughput and low latency allow to integrate it into the readout of the DAQ system of a HEP experiment. The reconstructed tracks can be incorporated in the raw data as outputs from a virtual sub-detector.
After a decade of R&D, started with the...
