Data flow computing.

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

Data flow analysis = theory and practice / by: (Electronic resources)

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

DataFlow supercomputing essentials = algorithms, applications and implementations / by: (Electronic resources)

Fundamentals of stream processing = application design, systems, and analytics / by: (Electronic resources)

Exploring the dataflow supercomputing paradigm = example 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.

Operating Systems.

Computation by Abstract Devices.

Information Storage and Retrieval.

Software engineering.

Computer software- Verification.

Neural networks (Computer science)

Database management.

Data Mining and Knowledge Discovery.

Supercomputers.

Big Data.

Information Systems Applications (incl.Internet)

Multimedia Information Systems.

Computer Science.

Computer Communication Networks.

Computer System Implementation.

System Performance and Evaluation.

Machine learning.

Data flow computing.