The workshop will cover key aspects of fully programmable Systems-on-Chip (SoC) and their applications to scientific instrumentation and reconfigurable computing. SoC is an affordable technology typically used in systems requiring high-parallelism, low-latency, and high-throughput.

Modern nuclear and particle physics experiments require online data acquisition (DAQ) systems that process multiple parallel signals coming from detectors and reduce both the data rate and the amount of data to be storage in disk for further offline analysis. These systems usually rely on:

• The reconfigurable computing paradigm that combines software’s flexibility and hardware’s high performance, such as SoC and FPGA.
• Advanced digital pulse processing and machine learning methods for particle detection and discrimination.

Topics

• Systems-on-chip: architecture and design methodology
• Good practices in firmware and software development
• SoC-FPGA development framework and remote access
• Digital electronics for standard and modern sensors
• Advanced digital pulse processing methods for detector’s signals. 
• Machine learning and model compression techniques for reconfigurable hardware accelerators
• Reconfigurable supercomputing architectures based on SoC-FPGA.