ARCS 2026: 39TH GI/ITG INTERNATIONAL CONFERENCE ON ARCHITECTURE OF COMPUTING SYSTEMS
TALK KEYWORD INDEX

This page contains an index consisting of author-provided keywords.

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- Automated recovery
- Distributed tracing
- Fault tolerance
- Microreboot
- Microservice systems
- Resilient system architecture
- Runtime systems
- Typed actuation
3
3D System-on-Chips
A
Abstraction
Acceleration
Adaptive Approximate Computing
Agent
Agnostic Learning
AI Acceleration
AI accelerators
AntHocNet
Apache Avro
Apache Parquet
Approximate computing
Artificial DNA (ADNA)
ASIP
Asymmetric Channel
Autonomic Computing
autonomous maritime navigation
Autonomous systems
B
Bearing Rotation Speed Estimation
Beneš networks
Bloom Filter
Bluefield
C
Centralized Coordination
CGRA
Charging Management
clustering
columnar storage
Computational Trust
Condition monitoring
Constraint Optimization Problem
Contiki-NG
Convolutional Neural Networks
Cooperation
Cross-Level Co-Design
D
data ingestion
Debug
Deep learning
Deep learning for EVs
Deep Neural Networks
Deep Neural Networks (DNNs)
Dependability
Design space exploration
DNA
Drone Swarms
Dynamic Neural Networks
Dynamic Partial Reconfiguration
Dynamic Sensor Constellations
E
Edge AI
Edge Computing
Edge devices
Electric Vehicle (EV)
Embedded AI
Embodied AI
Energy Efficiency
EV Occupancy demand
Execution Graph
Explainable AI (XAI)
Extension
F
Fail-Safe
Fast Fourier Transform
Fault Tolerance
Fault-tolerant coding
Feature Representation Learning
Few-shot learning
Fixed-Silicon Edge AI
Flexible manufacturing systems
Formal Verification
FPGA
G
GDB
GPGPU
GPU Virtualization
Greedy Heuristic
H
HALadapt
Hardware Accelerator
Hardware accelerators
Heterogeneous 3D Network-on-Chips
Heterogeneous Computing
High Performance Computing
Highway
HPC
HW/AI co-design
I
Index data structures
Indirect Covert Channel
Individualized mass customization
ISA
ISE
K
Knowledge Management
L
limited resources
LLM
Load Balancer
Location-based EV Occupancy forecasting
Low power
Low-Precision Computing
LUT-based Accelerators
M
Machine Learning
MAPE-K
Memory-safe languages
Meta-Programming
MLOC
Model compression
monitoring
Monolithic 3D
MPI
Multi-Agent Reinforcement Learning
Multi-robot task allocation
multi-sensor perception
Multivariate Timeseries Analysis
N
NAA
Network Virtualization
Neural network quantization
Neural networks
Neuronal Network Partitioning
NoC
NoC architectures
O
Object Detection
Open Source
Open-Source
Organic Computing
Organic Computing (OC)
Out-of-Distribution Detection
P
parallel processing
parsing accelerator
Perception
Performance optimization
permutation networks
Posit Arithmetic
Predictive Maintenance
Programmable Multiple Cluster Array
Q
Quantization
R
Radar Processing
RAG
Random Forest
Real-time perception
Reconfigurable
Reinforcement Learning
Reliability
Reliability-Aware Optimization
RISC-V
RISC-V custom vector extensions
RISC-V instruction extension
ROS2
RPL
Runtime Adaptivity
Runtime Framework
Runtime Optimization
RV48
S
Scalability
schema compilation
Self correction
Self-adaptive Systems
Self-Awareness
Self-explanation
Self-Organisation
Self-Organization
Self-organizing system
Semantic Scene Graphs
Sensor fusion
SIMD
Simulation Environment
situational awareness
SmartNic
SmartNICs
SmartSwitches
Sparsity
Spiking Neural Networks
SpinalHDL
Steganography
Structural Emergence
Surrogate Modelling
T
Task Offloading
Team formation
Temporal Convolutional Network
testing
TimesNet
topological data analysis
U
UPPAAL
V
Vector
Vector Extension
vectorization
Versal AI Engines
Vibration Condition Monitoring
Vicon
Visualization
W
Wave Pipelining
Z
Zero-shot learning