Abstract: Systems, architectures, devices, and methods for matching experimentally acquired mass spectrometry data with a peptide database are provided. The system architecture can include a host central processing unit (CPU) system, a bridge connecting the CPU system with a core control register (or registers), a plurality of processing elements (PEs), and a bus arbiter. The PEs can execute the computations in a parallel and asynchronous manner. The bus arbiter can be a first-come first-serve (FCFS)-based bus arbiter (i.e., can utilize an FCFS-based arbitration scheme).

Abstract: Systems, architectures, devices, and methods for matching experimentally acquired mass spectrometry data with a peptide database are provided. The system architecture can include a host central processing unit (CPU) system, a bridge connecting the CPU system with a core control register (or registers), a plurality of processing elements (PEs), and a bus arbiter. The PEs can execute the computations in a parallel and asynchronous manner. The bus arbiter can be a first-come first-serve (FCFS)-based bus arbiter (i.e., can utilize an FCFS-based arbitration scheme).

Abstract: Data-driven operating model (DDOM) systems and techniques are described to manage implementation, access, and promotion of digital services by a service provider system. In one example, the DDOM system includes a data aggregation module, a journey manager module and a segment manager module. The data aggregation module supports a unified data architecture that is then leverage by the journey and segment manager modules to support matrixed journey stage and segmentation of a data lake to provide insights that are not possible by a human being alone, that are usable to manage implementation, access, and promotion of digital services by a service provider system.