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Skipping CNN Convolutions Through Efficient Memoization

Embedded Computer Systems: Architectures, Modeling, and Simulation, p.65-76

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Automatic Memory-Efficient Scheduling of CNNs

Embedded Computer Systems: Architectures, Modeling, and Simulation, p.387-400

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PULP-TrainLib: Enabling On-Device Training for RISC-V Multi-core MCUs Through Performance-Driven Autotuning

Embedded Computer Systems: Architectures, Modeling, and Simulation, p.200-216

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Fully Distributed Deep Learning Inference on Resource-Constrained Edge Devices

Embedded Computer Systems: Architectures, Modeling, and Simulation, p.77-90

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A Hybrid Performance Prediction Approach for Fully-Connected Artificial Neural Networks on Multi-core Platforms

Embedded Computer Systems: Architectures, Modeling, and Simulation, p.250-263

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Research Background

An Investigation of the Causal Inference Between Epidemiology and Jurisprudence, 2018, p.9-44

Jung, Minsoo

2018

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SIDAM: A Design Space Exploration Framework for Multi-sensor Embedded Systems Powered by Energy Harvesting

Embedded Computer Systems: Architectures, Modeling, and Simulation, p.329-345

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A Critical Assessment of DRAM-PIM Architectures - Trends, Challenges and Solutions

Embedded Computer Systems: Architectures, Modeling, and Simulation, p.362-379

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Obfuscating the Hierarchy of a Digital IP

Embedded Computer Systems: Architectures, Modeling, and Simulation, p.303-314

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Hardware/Software Co-Design of an Automatically Generated Analog NN

Embedded Computer Systems: Architectures, Modeling, and Simulation, p.385-400

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A Data-Driven Approach to Lightweight DVFS-Aware Counter-Based Power Modeling for Heterogeneous Platforms

Embedded Computer Systems: Architectures, Modeling, and Simulation, p.346-361

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Epidemiological Causation and Legal Causation

An Investigation of the Causal Inference Between Epidemiology and Jurisprudence, 2018, p.87-92

Jung, Minsoo

2018

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Methods in Epidemiology

An Investigation of the Causal Inference Between Epidemiology and Jurisprudence, 2018, p.45-53

Jung, Minsoo

2018

Volltextzugriff (PDF)

Debates on Causation in Tobacco Lawsuits

An Investigation of the Causal Inference Between Epidemiology and Jurisprudence, 2018, p.55-67

Jung, Minsoo

2018

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Criteria of Epidemiological Causation and Its Limitations

An Investigation of the Causal Inference Between Epidemiology and Jurisprudence, 2018, p.69-86

Jung, Minsoo

2018

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Towards Efficient HW Acceleration in Edge-Cloud Infrastructures: The SERRANO Approach: Invited Paper

Embedded Computer Systems: Architectures, Modeling, and Simulation, p.354-367

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TREAM: A Tool for Evaluating Error Resilience of Tree-Based Models Using Approximate Memory

Embedded Computer Systems: Architectures, Modeling, and Simulation, p.61-73

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High-Level Simulation of Embedded Software Vulnerabilities to EM Side-Channel Attacks

Embedded Computer Systems: Architectures, Modeling, and Simulation, p.155-170

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NanoController: A Minimal and Flexible Processor Architecture for Ultra-Low-Power Always-On System State Controllers

Embedded Computer Systems: Architectures, Modeling, and Simulation, p.103-119

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LSTM Acceleration with FPGA and GPU Devices for Edge Computing Applications in B5G MEC

Embedded Computer Systems: Architectures, Modeling, and Simulation, p.406-419

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Implementing Synthetic Aperture Radar Backprojection in Chisel – A Field Report

Embedded Computer Systems: Architectures, Modeling, and Simulation, p.28-42

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Evaluating System Identification Methods for Predicting Thermal Dissipation of Heterogeneous SoCs

Embedded Computer Systems: Architectures, Modeling, and Simulation, p.144-160

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Phase-Aware CPU Workload Forecasting

Embedded Computer Systems: Architectures, Modeling, and Simulation, p.195-209

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Application Runtime Estimation for AURIX Embedded MCU Using Deep Learning

Embedded Computer Systems: Architectures, Modeling, and Simulation, p.235-249

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HW/SW Acceleration of Multiple Workloads Within the SERRANO’s Computing Continuum: Invited Paper

Embedded Computer Systems: Architectures, Modeling, and Simulation, p.394-405

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Skipping CNN Convolutions Through Efficient Memoization

Automatic Memory-Efficient Scheduling of CNNs

PULP-TrainLib: Enabling On-Device Training for RISC-V Multi-core MCUs Through Performance-Driven Autotuning

Fully Distributed Deep Learning Inference on Resource-Constrained Edge Devices

A Hybrid Performance Prediction Approach for Fully-Connected Artificial Neural Networks on Multi-core Platforms

Research Background

SIDAM: A Design Space Exploration Framework for Multi-sensor Embedded Systems Powered by Energy Harvesting

A Critical Assessment of DRAM-PIM Architectures - Trends, Challenges and Solutions

Obfuscating the Hierarchy of a Digital IP

Hardware/Software Co-Design of an Automatically Generated Analog NN

A Data-Driven Approach to Lightweight DVFS-Aware Counter-Based Power Modeling for Heterogeneous Platforms

Epidemiological Causation and Legal Causation

Methods in Epidemiology

Debates on Causation in Tobacco Lawsuits

Criteria of Epidemiological Causation and Its Limitations

Towards Efficient HW Acceleration in Edge-Cloud Infrastructures: The SERRANO Approach: Invited Paper

TREAM: A Tool for Evaluating Error Resilience of Tree-Based Models Using Approximate Memory

High-Level Simulation of Embedded Software Vulnerabilities to EM Side-Channel Attacks

NanoController: A Minimal and Flexible Processor Architecture for Ultra-Low-Power Always-On System State Controllers

LSTM Acceleration with FPGA and GPU Devices for Edge Computing Applications in B5G MEC

Implementing Synthetic Aperture Radar Backprojection in Chisel – A Field Report

Evaluating System Identification Methods for Predicting Thermal Dissipation of Heterogeneous SoCs

Phase-Aware CPU Workload Forecasting

Application Runtime Estimation for AURIX Embedded MCU Using Deep Learning

HW/SW Acceleration of Multiple Workloads Within the SERRANO’s Computing Continuum: Invited Paper

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