Data flow computing.

Stream data processinga quality of service perspective modeling, scheduling, load shedding, and complex event processing / by: (Electronic resources)

Data flow analysistheory and practice / by: (Electronic resources)

Guide to dataflow supercomputingbasic concepts, case studies, and a detailed example / by: (Electronic resources)

DataFlow supercomputing essentialsalgorithms, applications and implementations / by: (Electronic resources)

Fundamentals of stream processingapplication design, systems, and analytics / by: (Electronic resources)

Exploring the dataflow supercomputing paradigmexample algorithms for selected applications / by: (Electronic resources)

Data orchestration in deep learning accelerators by: (Electronic resources)

High performance computing.

Input/Output and Data Communications.

Software Engineering.

SIMD (Computer architecture)

Communications Engineering, Networks.

Compilers (Computer programs)

Computer Engineering.

Database Management.

Computer software

Operating Systems.

Computation by Abstract Devices.

Information Storage and Retrieval.

Software engineering.

Neural networks (Computer science)

Database management.

Data Mining and Knowledge Discovery.

Supercomputers.

Big Data.

Multimedia Information Systems.

Information Systems Applications (incl.Internet)

Computer Science.

Computer Communication Networks.

Computer System Implementation.

System Performance and Evaluation.

Machine learning.

Data flow computing.