Stream processing

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Explore the main themes, entities and connections around Stream processing. Start with the topic map, then use the sections below for research and deeper semantic analysis.

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Stream programming libraries and languages

C++Java Polytechnic University of Catalonia OpenMP Ateji PX

41 related topics

Research

Stanford University AT&T Massachusetts Institute of Technology (MIT)Cell Broadband Engine Structure of arrays (SoA)

13 related topics

Overview

Computer science Programming paradigm Streams Computation Dataflow programming

25 related topics

Comparison to prior parallel paradigms

Single instruction, single data (SISD)Single instruction, multiple data (SIMD)SIMD within a register (SWAR)Multiple instruction, multiple data (MIMD)Vectors

9 related topics

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Computer science
Programming paradigm
Streams Stream (computing)
Computation
Dataflow programming
Reactive programming
Distributed Distributed computing
Data processing
Streaming algorithms Streaming algorithm
Parallel processing Parallel computing
Software stack Solution stack
Programming models Programming model
Query languages Query language
Stream management systems Data stream management system
Scheduling Scheduling (computing)
Acceleration Hardware acceleration
Floating-point units Floating-point unit
Graphics processing units Graphics processing unit
Field-programmable gate arrays Field-programmable gate array
Kernel functions Compute kernel
Pipelined Pipeline (computing)
Scoreboarding
Direct memory access
Arithmetic logic units Arithmetic logic unit
SISAL

Applications

Digital signal processing
Processor Central processing unit

Code examples

SQL
JOIN Join (SQL)

Comparison to prior parallel paradigms

Single instruction, single data (SISD) Single instruction, single data
Single instruction, multiple data (SIMD) Single instruction, multiple data
SIMD within a register (SWAR) SWAR
Multiple instruction, multiple data (MIMD) Multiple instruction, multiple data
Vectors Vector (geometric)
Instruction intrinsics Intrinsic function
AltiVec
Streaming SIMD Extensions (SSE) Streaming SIMD Extensions
Loop unrolling

Research

Stanford University
AT&T
Massachusetts Institute of Technology (MIT) Massachusetts Institute of Technology
Cell Broadband Engine
Structure of arrays (SoA) AoS and SoA
Array of structures (AoS) Array of structures
Memory bandwidth
Virtual memory
RaftLib
Procedural programming
Models of computation (MoCs) Model of computation
Kahn process networks
VLIW Very long instruction word

Historical examples and evolution

Stream programming libraries and languages

C++
Java Java (programming language)
Polytechnic University of Catalonia
OpenMP
Ateji PX
Java virtual machine (JVM) Java virtual machine
MapReduce
Washington University in St. Louis
Verilog/VHDL Verilog HDL
CUDA (Compute Unified Device Architecture) CUDA
Université du Québec à Chicoutimi
CAL Actor Language
Halmstad University Halmstad University, Sweden
DUP programming language
Technical University of Munich
University of Denver
University of Waterloo
RapidMind
University of Hertfordshire
Pontifical Catholic University of Rio Grande do Sul
Embiot (Telchemy) Telchemy
Jacket (AccelerEyes) AccelerEyes
MATLAB
OpenHMPP
Many-core accelerators Manycore processor
PeakStream
Stanford Brook language framework BrookGPU
Nvidia's Nvidia
Intel Ct
Apache NiFi

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

Nodes104

Edges103

Triples206

Avg. degree1.98

Density0.019231

Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

Stream processing

Top relations

related to Academic and open-source environments · 60

Stream processing → ACOTES Programming Model, An, Application Modelling Group, Ateji PX, Auto-Pipe, BeepBeep, Brook, C/C, CAL, CAL Actor Language, Cal2Many, Catalonia, Chicoutimi, CPU, CPUs, CUDA, Denver, Developed, DUP, Formal Computer Science Lab

related to Graphics processing units (GPUs) · 29

Stream processing → AMD FireStream, APIs, Architectures, ATI R200, ATI R300, Dynamic Control Flow, Early, Early Vertex Programmability, Fixed-Function Era, Fragment/pixel, GPGPU, GPU, GPUs, Hardware, High-Performance Computing, HPC, Later, Microarchitectures, Modern, Nvidia NV20

related to Commercial and proprietary architectures · 24

Stream processing → AccelerEyes, Declarative Engine, Embiot, Floodgate, Gamebryo, Google, GPU, Hewlett-Packard Cambridge Research Laboratory, IBM, IBM's, Intel, Jacket, MATLAB, OpenHMPP, PeakStream, RapidMind, SPADE, Stanford Brook, System, Telchemy

related to Managed cloud streaming services · 16

Stream processing → Amazon Web Services, Apache Beam, AWS, Cloud, Eventador, Google Cloud Dataflow, IBM Streams, IoT, Kafka, Kinesis, Microsoft Azure Stream Analytics, MongoDB Atlas Stream Processing, SPL, SQL, SQLStreamBuilder, Streaming Analytics

related to Distributed and cloud-scale execution ecosystems · 13

Stream processing → An, Apache Flink, Apache Kafka, Apache Samza, Apache Spark API, Apache Spark Streaming, Apache Storm, Distributed Logging Fabrics, Frameworks, Infrastructure, Micro-Batch Stream Processing, Modern, Native Continuous Stream Processing

related to Hardware-in-the-loop issues · 9

Stream processing → Although, Because, Consequently, Early, However, Inter-processor, PCI Express, To, While

related to Distributed event and complex event processing (CEP) engines · 8

Stream processing → An, Apache NiFi, Apama, Siddhi, Software AG, SQL-like, Wallaroo, WSO2 Stream Processor

related to Processor architecture comparisons · 8

Stream processing → ALUs, Consequently, CPU, CPUs, Historically, Stream, Structurally, To

related to Parallel stream paradigm (SIMD/MIMD) · 7

Stream processing → Although, ALUs, Compilers, In, Instead, Minimizing, This

related to Research · 6

Stream processing → Academic, AT, Concurrently, Early, Following, Stanford University

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

stream processing data hardware memory streaming execution programming streams kernel parallel software graphics units engine distributed model operations within language

Entity relationships Subject–Predicate–Object triples

Subject	Predicate	Object	Confidence	Src
programming models	instance of	The software stack for these systems includes components	0.80	text
query languages	instance of	The software stack for these systems includes components	0.80	text
for expressing computation	instance of	The software stack for these systems includes components	0.80	text
scoreboarding to initiate direct memory access	instance of	Stream processing hardware can use techniques	0.80	text
arithmetic logic units.During the 1980s stream processing was explored within dataflow programming	instance of	while the reduced reliance on hardware cached I/O decreases the memory footprint required by specialized computational units	0.80	text
AltiVec	instance of	a configuration standard in architectures	0.80	text
Streaming SIMD Extensions	instance of	a configuration standard in architectures	0.80	text
standard CPUs	instance of	the stream processing model enforces structured dataflow and explicit memory management that permits significantly higher execution efficiency.When implemented on general-purpos…	0.80	text
stream processing abstractions frequently yielded limited performance gains	instance of	the stream processing model enforces structured dataflow and explicit memory management that permits significantly higher execution efficiency.When implemented on general-purpos…	0.80	text
with some historical studies noting an execution speedup of only approximately 1.5x	instance of	the stream processing model enforces structured dataflow and explicit memory management that permits significantly higher execution efficiency.When implemented on general-purpos…	0.80	text
C	instance of	Stream programming libraries and languagesMost stream processing frameworks build upon established general-purpose languages	0.80	text
Stream processing	has application	Stream	0.60	section

Related concept clusters Concept neighborhoods

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Connections between topic areas Semantic bridges

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Stream programming libraries and languages

Research

Overview

Comparison to prior parallel paradigms

Key facts & relationships

Topics to explore

Overview

Applications

Code examples

Comparison to prior parallel paradigms

Research

Historical examples and evolution

Stream programming libraries and languages

Advanced semantic analysis

Map overview Semantic statistics

Stream processing

How this topic connects Entity context

Stream processing

Top relations

Important terminology Word statistics

Important terminology

Entity relationships Subject–Predicate–Object triples

Related concept clusters Concept neighborhoods

Connections between topic areas Semantic bridges