Computer architecture
System-on-chip
Data flow analysis
Parallelism
Computer aided design
Chaotic generator
Machine learning
SDF
Artificial intelligence
Memory allocation
Deep Learning
Automatic Code Generation
Data flow graphs
Tangled program graphs
MARTE
Prototyping
Systèmes embaqués
Flux de données modèle de calcul
Approximate computing
Coding artifacts
Cyber-Physical Systems
Automatic programming
Design space exploration
Characterization
Low power
Reinforcement learning
Computer science
Genetic programming
Synchronous Data Flow
Artificial Intelligence AI
Physics
MPSoC
Pipeline
CPS
Radio-Interferometry
Self-adaptivity
MP2SoC
CCS CONCEPTS • Computing methodologies → Machine learning
Synchronous dataflow
DNN design
Calculs Approximés
IA Frugale
Signal processing
Code generators
Semantics
Astronomy
Dataflow
Buffer management
SDSoC
Rate-Distortion Optimization RDO
Block-based
Flux de données
Embedded systems
PREESM
Action physics
Codes symbols
Multiprocessor
Cyber Security
Dataflow models of computation
Imbalanced data
Dataflow Model of Computation
Video Coding for Machines VCM
Coarse-Grained Reconfiguration
Computation
Clustering
Stereo vision
Algorithm Design Space Exploration
DVFS
Nested loop
CAPH
Radio Frequency Fingerprint
Scheduling
Classification
Conception automatisée
Dataflow model
Scheduling Algorithm
Code generation
Database
Interface-Based Synchronous Data Flow
Hyperspectral Imaging
Throughput evaluation
RF impairments models
Code Instrumentation
Tangled Program Graph
Selection
Data flow computing
Buffer Merging
Autonomous aerial vehicles
Biology
Clustering algorithms
Compression
Resource Estimation
Abstraction
Hierarchy
Image Quality Assessment IQA
Dataflow MoC
UML/SysML
Co-Design
Machine-to-Machine M2M