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Architecture of Computing Systems - ARCS 2020 [electronic resource] : 33rd International Conference, Aachen, Germany, May 25-28, 2020, Proceedings / edited by André Brinkmann, Wolfgang Karl, Stefan Lankes, Sven Tomforde, Thilo Pionteck, Carsten Trinitis.

Contributor(s): Brinkmann, André [editor.] | Karl, Wolfgang [editor.] | Lankes, Stefan [editor.] | Tomforde, Sven [editor.] | Pionteck, Thilo [editor.] | Trinitis, Carsten [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Theoretical Computer Science and General Issues: 12155Publisher: Cham : Springer International Publishing : Imprint: Springer, 2020Edition: 1st ed. 2020.Description: XII, 257 p. 112 illus., 62 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030527945.Subject(s): Computer networks  | Computer systems | Microprocessors | Computer architecture | Computer input-output equipment | Computer Communication Networks | Computer System Implementation | Processor Architectures | Input/Output and Data CommunicationsAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 004.6 Online resources: Click here to access online
Contents:
Main Conference -- Approximate Data Dependence Pro ling based on Abstract Interval and Congruent Domains -- Evaluating Dynamic Task Scheduling with Priorities and Adaptive Aging in a Task-based Runtime System -- An Architecture for Solving the Eigenvalue Problem on Embedded FPGAs -- ECC Memory for Fault Tolerant RISC-V Processors -- 3D Optimisation of Software Application Mappings on Heterogeneous MPSoCs -- Towards a Priority-Based Task Distribution Strategy for an Artificial Hormone System -- He..ro DB: A Concept for Parallel Data Processing on Heterogeneous Hardware -- Investigating Transactional Memory for High Performance Embedded Systems -- X-CEL: A Method to Estimate Near-Memory Acceleration Potential in Tile-based MPSoCs -- Engineering an Optimized Instruction Set Architecture for AMIDAR Processors -- Scaling Logic Locking Schemes to Multi-Module Hardware Designs -- Exploration of Power Domain Partitioning with Concurrent Task Mapping and Scheduling for Application-specific Multi-core SoCs -- FORMUS3IC Workshop -- Scalable, Decentralized Battery Management System Based on Self-Organizing Nodes -- Security Improvements by Separating the Cryptographic Protocol from the Network Stack onto a Multi-MCU Architecture -- Equally Distributed Bus-Communication Access Rights for Inter MCU Communication using Multimaster SPI -- Workshop on Computer Architectures in Space (CompSpace) -- On the Evaluation of SEU Effects on AXI Interconnect within AP-SoCs -- Satellite Onboard Data Reduction using a Risc-V core inside an RTG4-based Data Processing Pipeline -- Workshop on Parallel Systems and Algorithms (PASA) -- Accelerating Real-Time Applications with Predictable Work-Stealing.
In: Springer Nature eBookSummary: This book constitutes the proceedings of the 33rd International Conference on Architecture of Computing Systems, ARCS 2020, held in Aachen, Germany, in May 2020.* The 12 full papers in this volume were carefully reviewed and selected from 33 submissions. 6 workshop papers are also included. ARCS has always been a conference attracting leading-edge research outcomes in Computer Architecture and Operating Systems, including a wide spectrum of topics ranging from embedded and real-time systems all the way to large-scale and parallel systems. The selected papers focus on concepts and tools for incorporating self-adaptation and self-organization mechanisms in high-performance computing systems. This includes upcoming approaches for runtime modifications at various abstraction levels, ranging from hardware changes to goal changes and their impact on architectures, technologies, and languages. *The conference was canceled due to the COVID-19 pandemic.
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Main Conference -- Approximate Data Dependence Pro ling based on Abstract Interval and Congruent Domains -- Evaluating Dynamic Task Scheduling with Priorities and Adaptive Aging in a Task-based Runtime System -- An Architecture for Solving the Eigenvalue Problem on Embedded FPGAs -- ECC Memory for Fault Tolerant RISC-V Processors -- 3D Optimisation of Software Application Mappings on Heterogeneous MPSoCs -- Towards a Priority-Based Task Distribution Strategy for an Artificial Hormone System -- He..ro DB: A Concept for Parallel Data Processing on Heterogeneous Hardware -- Investigating Transactional Memory for High Performance Embedded Systems -- X-CEL: A Method to Estimate Near-Memory Acceleration Potential in Tile-based MPSoCs -- Engineering an Optimized Instruction Set Architecture for AMIDAR Processors -- Scaling Logic Locking Schemes to Multi-Module Hardware Designs -- Exploration of Power Domain Partitioning with Concurrent Task Mapping and Scheduling for Application-specific Multi-core SoCs -- FORMUS3IC Workshop -- Scalable, Decentralized Battery Management System Based on Self-Organizing Nodes -- Security Improvements by Separating the Cryptographic Protocol from the Network Stack onto a Multi-MCU Architecture -- Equally Distributed Bus-Communication Access Rights for Inter MCU Communication using Multimaster SPI -- Workshop on Computer Architectures in Space (CompSpace) -- On the Evaluation of SEU Effects on AXI Interconnect within AP-SoCs -- Satellite Onboard Data Reduction using a Risc-V core inside an RTG4-based Data Processing Pipeline -- Workshop on Parallel Systems and Algorithms (PASA) -- Accelerating Real-Time Applications with Predictable Work-Stealing.

This book constitutes the proceedings of the 33rd International Conference on Architecture of Computing Systems, ARCS 2020, held in Aachen, Germany, in May 2020.* The 12 full papers in this volume were carefully reviewed and selected from 33 submissions. 6 workshop papers are also included. ARCS has always been a conference attracting leading-edge research outcomes in Computer Architecture and Operating Systems, including a wide spectrum of topics ranging from embedded and real-time systems all the way to large-scale and parallel systems. The selected papers focus on concepts and tools for incorporating self-adaptation and self-organization mechanisms in high-performance computing systems. This includes upcoming approaches for runtime modifications at various abstraction levels, ranging from hardware changes to goal changes and their impact on architectures, technologies, and languages. *The conference was canceled due to the COVID-19 pandemic.

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