دانلود کتاب Architecture of Computing Systems. 35th International Conference, ARCS 2022 Heilbronn, Germany, September 13–15, 2022 Proceedings

فهرست مطالب :

Preface
Organization
Keynote Talks
SpMV: An Embarrassing Kernel for Modern Compute Devices
Low-level Fun with Parallel Runtime Systems
Contents
Energy Efficiency
Energy Efficient Frequency Scaling on GPUs in Heterogeneous HPC Systems
1 Motivation, Problem Statement and Key Contributions
1.1 Motivation
1.2 Problem Statement and Key Contributions
2 Related Work and Background
2.1 Performance and Energy Measurement Tools
2.2 Benchmarks
2.3 Energy Efficiency on Graphics Processing Units
3 Methodology
4 Results
4.1 Minimum Interval Length Between Measurements
4.2 Frequency Scaling
4.3 Frequency vs. Total Energy Consumption
5 Summary, Future Research and Conclusion
References
Dual-IS: Instruction Set Modality for Efficient Instruction Level Parallelism
1 Introduction
2 Related Work
3 Transport Triggered Architectures
4 Dual-IS Processor
4.1 Instruction Translation
4.2 Micro-operation Sequencing
4.3 Control and Data Hazards
4.4 Mode Switching
5 Evaluation
5.1 Evaluated Designs
5.2 Synthesis Results
5.3 Performance
5.4 Energy Efficiency
5.5 Discussion
6 Conclusions
References
Pasithea-1: An Energy-Efficient Self-contained CGRA with RISC-Like ISA
1 Introduction
1.1 Reconfigurable Computing
1.2 Related Work
1.3 This Work
2 Instruction Set Architecture
2.1 Fragment Instances
2.2 Local Interaction with Target Instruction Pointers (TIPs)
2.3 Global Interaction of Fragment Instances
2.4 What\'s the RISC?
3 Programming
3.1 Local Programming
3.2 Global Programming
4 Microarchitecture
4.1 Fragment Instance Management
4.2 Tiles and PEs: Fragment Instances on Fabric
4.3 Dormant Fragment Instances
4.4 Memory Subsystem
5 Evaluation Methodology
6 Results
7 Discussion
References
Applied Machine Learning
Orchestrated Co-scheduling, Resource Partitioning, and Power Capping on CPU-GPU Heterogeneous Systems via Machine Learning
1 Introduction
2 Related Work
3 Motivation, Problem, and Solution Overview
3.1 Motivation: Technology Trends
3.2 Problem Definition
3.3 Solution Overview
4 Modeling and Optimization
4.1 Slowdown Estimation for a Given Job Set and Hardware Setup
4.2 Hardware Setup Optimization for a Given Job Set
4.3 Job Sets Selection
5 Evaluation
5.1 Evaluation Setup
5.2 Experimental Results
6 Conclusion
References
FPGA-Based Dynamic Deep Learning Acceleration for Real-Time Video Analytics
1 Introduction
2 Overview of the Proposed System
2.1 Neural Network Architecture Search
2.2 Neural Network Model Compilation
2.3 Software and Hardware Run-Time Management
3 DNN Model Optimisation
3.1 Brief Introduction of OFA
3.2 Model Generation and Optimisation
4 System Hardware/Software Co-design
4.1 Hardware Architecture
4.2 Software Implementation
4.3 Communication Between Processes
5 Experiments
5.1 Overall System Setup
5.2 DNN Model Management
5.3 Results and Analysis
6 Time and Power Consumption
6.1 Impact Factors
6.2 Benchmark
7 Conclusion
References
Advanced Computing Techniques
Effects of Approximate Computing on Workload Characteristics
1 Introduction
2 Related Work and Background
3 Our Study
4 Evaluation
4.1 Workload Characteristics
4.2 Details on Application-Level
4.3 Expectations and Observations
4.4 Speedup and Accuracy
5 Conclusions
References
QPU-System Co-design for Quantum HPC Accelerators
1 Introduction
2 Quantum Max-Cut with QAOA
2.1 The Quantum Approximate Optimisation Algorithm
2.2 Background on Max-Cut and QAOA
2.3 Modelling Max-Cut as QUBO
2.4 Setup
3 Hardware-System Co-design
3.1 Optimisation Potentials
3.2 Parameter Estimation on IBM-Q Hardware
3.3 Physical Possibilities and Limitations
3.4 Variation of the Coupling Density
3.5 Variation of the Backend Size
4 Conclusion and Outlook
References
Hardware and Software System Security
Protected Functions: User Space Privileged Function Calls
1 Introduction
2 Background and Related Work
2.1 Protection Rings and Paging
2.2 System Call and Control Transfer Mechanisms
2.3 Related Work
3 Protected Functions
3.1 Protected Pages
3.2 Privilege Escalation/De-escalation
3.3 Control Transfer Management
3.4 Security Consideration
3.5 Bootstrapping Process
3.6 Implementation
4 Evaluation
4.1 Measurements
5 Conclusion and Future Work
References
Using Look Up Table Content as Signatures to Identify IP Cores in Modern FPGAs
1 Introduction
2 Background and Previous Work
3 Concept
4 Implementation
4.1 Extraction of LUT Logic Functions from the Bitstream
4.2 Extraction of LUT Logic Functions from the Netlist
4.3 LUT Decomposition
4.4 Boolean Matching
4.5 Core Identification
5 Evaluation
5.1 Revisiting the Ratio Variable
5.2 Experimental Results
6 Conclusion and Future Work
References
Hardware Isolation Support for Low-Cost SoC-FPGAs
1 Introduction
2 Related Work
3 Isolation Limitations in Low-Cost SoC-FPGAs
4 Proposed Method
4.1 Protection Unit Architecture
4.2 Example
4.3 Validation
5 SoC-FPGA Implementation
6 Results and Discussion
7 Conclusion
References
Reliable and Fault-Tolerant Systems
Memristor Based FPGAs: Understanding the Effect of Configuration Memory Faults
1 Introduction
2 Technical Background
2.1 Related Work
2.2 Memristor Types and Typical Defects
2.3 Configuration Memory with Memristors
2.4 Tool Flow of VTR
3 Lookup Tables
3.1 Impact of Memory Defects
3.2 Modified Tool Flow
3.3 Experimental Setup
3.4 Experimental Results
4 Routing Elements
4.1 Impact of Memristor Defects
4.2 Modified Tool Flow
4.3 Experimental Setup
4.4 Experimental Results
5 Conclusion
References
On the Reliability of Real-Time Operating System on Embedded Soft Processor for Space Applications
1 Introduction
2 Related Works
3 Background on Radiation-Induced Effect on Reconfigurable Logic
4 Proton Radiation Test-Based Reliability Fault Model
5 The Reliability Analysis Workflow
5.1 The Implemented Hardware/Software Platform
5.2 Fault Injection Analysis
6 Experimental Analysis and Results
7 Conclusions and Future Works
References
Special Track: Organic Computing
NDNET: A Unified Framework for Anomaly and Novelty Detection
1 Introduction
2 Related Work
3 The Library NDNET
3.1 Overview
3.2 mCANDIES
3.3 Detectors
4 Use Cases
4.1 Anomaly Detection in Design Optimization
4.2 Novelty-, Anomaly-Detection in a Motor Test Bench
5 Conclusion and Future Work
References
Organic Computing to Improve the Dependability of an Automotive Environment
1 Introduction
1.1 Scope
2 Related Work
3 ADNA and AHS Concept
4 Fault Diagnosis
5 Challenges with the Organic Computing Approach
5.1 Accessing Sensors and Actuators
5.2 Development Tools and Simulations
5.3 System Verification
6 Adaption to a Test Platform
6.1 General Autonomous Driving Approach
6.2 Autonomous Driving with Organic Computing
7 Conclusion
References
A Context Aware and Self-improving Monitoring System for Field Vegetables
1 Introduction
2 Related Work
3 Approach
3.1 Proposed Algorithm
3.2 Experimental Setup
4 Results
5 Discussion
6 Conclusion
References
Semi-model-Based Reinforcement Learning in Organic Computing Systems
1 Motivation
2 Model-Based and Model-Free Reinforcement Learning
2.1 The Model
2.2 Model-Free Reinforcement Learning
2.3 Model-Based Reinforcement Learning
3 Interpolated Experience Replay
4 Interpolation vs. Approximation
5 Semi-model-Based Reinforcement Learning
6 Interpolation-Based RL in Organic Computing
7 Related Work
8 Conclusions
References
Deep Reinforcement Learning with a Classifier System – First Steps
1 Introduction
2 Background: The Extended Classifier System
3 Approaches to Neural and Deep LCS
4 Approach: Concepts for a Deep XCS
5 Evaluation
5.1 Experimental Design
5.2 6-RMP Experiments
5.3 Frozen Lake Experiments
5.4 Maze4 Experiments
6 Conclusion
References
GAE-LCT: A Run-Time GA-Based Classifier Evolution Method for Hardware LCT Controlled SoC Performance-Power Optimization
1 Introduction
2 Background and Related Work
3 Range-Based LCT and Extensions
3.1 LCT Extensions to Enable Accuracy-Based GA
3.2 Exploration-Exploitation Strategy
3.3 States and Actions
3.4 Objective and Reward Function
4 GA-Based Classifier Evolution
4.1 State Space Analysis and Classifier Validity Check
4.2 Covering Operator
4.3 Crossover, Mutation and Subsumption
4.4 Addition and Deletion Strategy
5 Experimental Setup and Results
5.1 Experimental Setup
5.2 Resource Utilization
5.3 Performance
6 Conclusion
References
Author Index