Data flow computing.

Fundamentals of stream processing : = application design, systems, and analytics / by: (Language materials, printed)

Data orchestration in deep learning accelerators / by: (Language materials, printed)

Integration of services into workflow applications / by: (Language materials, printed)

Data flow analysis = theory and practice / by: (Language materials, printed)

Congestion control in data transmission networks = sliding mode and other designs / by: (Language materials, printed)

Stream data processing = a quality of service perspective modeling, scheduling, load shedding, and complex event processing / by: (Language materials, printed)

Fundamentals of stream processing = application design, systems, and analytics / by: (Language materials, printed)

DataFlow supercomputing essentials = algorithms, applications and implementations / by: (Language materials, printed)

Exploring the dataflow supercomputing paradigm = example algorithms for selected applications / by: (Language materials, printed)

Data flow computing.

Computer organization.

Computer Communication Networks.

Software engineering.

SIMD (Computer architecture)

Machine learning.

Control.

Information Systems Applications (incl.Internet)

Supercomputers.

Engineering.

Information Storage and Retrieval.

Calculus of Variations and Optimal Control; Optimization.

Database Management.

Data transmission systems

Operating Systems.

System Performance and Evaluation.

Neural networks (Computer science)

Communications Engineering, Networks.

Routing (Computer network management)

Computer Engineering.

Computer Science.

Big Data.

Database management.

Multimedia Information Systems.

Input/Output and Data Communications.

Compilers (Computer programs)

Computer software

Computation by Abstract Devices.