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Architecture of Computing Systems – ARCS 2018

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Table of Contents

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    Book Overview
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    Chapter 1 Trade-Off Between Performance, Fault Tolerance and Energy Consumption in Duplication-Based Taskgraph Scheduling
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    Chapter 2 Lipsi: Probably the Smallest Processor in the World
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    Chapter 3 Superlinear Scalability in Parallel Computing and Multi-robot Systems: Shared Resources, Collaboration, and Network Topology
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    Chapter 4 Closed Loop Controller for Multicore Real-Time Systems
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    Chapter 5 Optimization of the GNU OpenMP Synchronization Barrier in MPSoC
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    Chapter 6 Ampehre: An Open Source Measurement Framework for Heterogeneous Compute Nodes
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    Chapter 7 A Hybrid Approach for Runtime Analysis Using a Cycle and Instruction Accurate Model
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    Chapter 8 A CAM-Free Exascalable HPC Router for Low-Energy Communications
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    Chapter 9 Lightweight Hardware Synchronization for Avoiding Buffer Overflows in Network-on-Chips
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    Chapter 10 Network Optimization for Safety-Critical Systems Using Software-Defined Networks
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    Chapter 11 CaCAO: Complex and Compositional Atomic Operations for NoC-Based Manycore Platforms
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    Chapter 12 Redundant Execution on Heterogeneous Multi-cores Utilizing Transactional Memory
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    Chapter 13 Improving the Performance of STT-MRAM LLC Through Enhanced Cache Replacement Policy
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    Chapter 14 On Automated Feedback-Driven Data Placement in Multi-tiered Memory
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    Chapter 15 Operational Characterization of Weak Memory Consistency Models
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    Chapter 16 A Tightly Coupled Heterogeneous Core with Highly Efficient Low-Power Mode
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    Chapter 17 Performance-Energy Trade-off in CMPs with Per-Core DVFS
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    Chapter 18 Towards Fine-Grained DVFS in Embedded Multi-core CPUs
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    Chapter 19 Evaluating Auto-adaptation Methods for Fine-Grained Adaptable Processors
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    Chapter 20 HLS Enabled Partially Reconfigurable Module Implementation
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    Chapter 21 Hardware Acceleration in Genode OS Using Dynamic Partial Reconfiguration
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    Chapter 22 Do Iterative Solvers Benefit from Approximate Computing? An Evaluation Study Considering Orthogonal Approximation Methods
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    Chapter 23 A Flexible FPGA-Based Inference Architecture for Pruned Deep Neural Networks
Attention for Chapter 3: Superlinear Scalability in Parallel Computing and Multi-robot Systems: Shared Resources, Collaboration, and Network Topology
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