Description |
1 online resource (293 p.) |
Series |
Lecture notes in computer science ; 13642 |
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Lecture notes in computer science ; 13642.
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Contents |
Intro -- 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 |
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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 |
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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 |
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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 |
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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 |
Summary |
This book constitutes the proceedings of the 35th International Conference on Architecture of Computing Systems, ARCS 2022, held virtually in July 2022. The 18 full papers in this volume were carefully reviewed and selected from 35 submissions. ARCS provides a platform covering newly emerging and cross-cutting topics, such as autonomous and ubiquitous systems, reconfigurable computing and acceleration, neural networks and artificial intelligence. The selected papers cover a variety of topics from the ARCS core domains, including energy efficiency, applied machine learning, hardware and software system security, reliable and fault-tolerant systems and organic computing |
Notes |
4.3 Communication Between Processes |
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Includes author index |
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Online resource; title from PDF title page (SpringerLink, viewed January 4, 2023) |
Subject |
Computer architecture -- Congresses
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Computer systems -- Congresses
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Computer architecture
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Computer systems
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Genre/Form |
proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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Form |
Electronic book
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Author |
Schulz, Martin
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Trinitis, Carsten.
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Papadopoulou, Nikela
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Pionteck, Thilo.
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ISBN |
9783031218675 |
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3031218671 |
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