Paolo Rech
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View article: SQUID G.A.M.E.: Gamma, Atmospheric, and Mono-Energetic Neutron Effects on Quantum Devices
SQUID G.A.M.E.: Gamma, Atmospheric, and Mono-Energetic Neutron Effects on Quantum Devices Open
Quantum devices are a promising solution to many research applications, including medical imaging, precision magnetic field measurements, condensed matter physics, and overcoming the limits of classical computing. Among the available imple…
View article: Dependable classical-quantum computing systems engineering
Dependable classical-quantum computing systems engineering Open
Increasing evidence suggests quantum computing (QC) complements traditional High-Performance Computing (HPC) by leveraging its unique capabilities, leading to the emergence of a new, hybrid paradigm, QHPC. However, this integration introdu…
View article: Architecture, Simulation and Software Stack to Support Post-CMOS Accelerators: The ARCHYTAS Project
Architecture, Simulation and Software Stack to Support Post-CMOS Accelerators: The ARCHYTAS Project Open
ARCHYTAS aims to design and evaluate non-conventional hardware accelerators, in particular, optoelectronic, volatile and non-volatile processing-in-memory, and neuromorphic, to tackle the power, efficiency, and scalability bottlenecks of A…
View article: Neutron Resilience of Flexible Perovskite Solar Cells Using PTAA‐Derived Hole Transport Layers
Neutron Resilience of Flexible Perovskite Solar Cells Using PTAA‐Derived Hole Transport Layers Open
Flexible perovskite solar cells hold promise of being an enabling technology for space missions: by reducing the encumbrance and weight of the payload's power system, launch costs can be minimized. The increased interest, however, must be …
View article: State of practice: Evaluating GPU performance of state vector and tensor network methods
State of practice: Evaluating GPU performance of state vector and tensor network methods Open
View article: Impact of Radiation-Induced Effects on Embedded GPUs Executing Large Machine Learning Models
Impact of Radiation-Induced Effects on Embedded GPUs Executing Large Machine Learning Models Open
Large machine learning (ML) models are able to outperform previous state-of-the-art ML models such as convolutional neural networks (CNNs). In this paper, we study the impact of radiation-induced effects on large ML models executing on the…
View article: Improving Deep Neural Network Reliability via Transient-Fault-Aware Design and Training
Improving Deep Neural Network Reliability via Transient-Fault-Aware Design and Training Open
International audience
View article: The basis for a feasibility study for a high-power cyclotron to be used as a multi-purpose irradiation facility
The basis for a feasibility study for a high-power cyclotron to be used as a multi-purpose irradiation facility Open
The primary objective of this work is to establish the groundwork for the development of a new experimental facility integrating a particle accelerator to be installed in ENEA Casaccia research centre. More specifically, this study has tak…
View article: Vision Transformer Reliability Evaluation on the Coral Edge TPU
Vision Transformer Reliability Evaluation on the Coral Edge TPU Open
View article: Challenges in Assessing and Improving Deep Neural Networks’ Reliability
Challenges in Assessing and Improving Deep Neural Networks’ Reliability Open
International audience
View article: MaxiMals: A Low-cost Hardening Technique for Large Vision Transformers
MaxiMals: A Low-cost Hardening Technique for Large Vision Transformers Open
International audience
View article: Evaluating the risk of data loss due to particle radiation damage in a DNA data storage system
Evaluating the risk of data loss due to particle radiation damage in a DNA data storage system Open
View article: Transient Fault Tolerant Semantic Segmentation for Autonomous Driving
Transient Fault Tolerant Semantic Segmentation for Autonomous Driving Open
Deep learning models are crucial for autonomous vehicle perception, but their reliability is challenged by algorithmic limitations and hardware faults. We address the latter by examining fault-tolerance in semantic segmentation models. Usi…
View article: Dependable Classical-Quantum Computer Systems Engineering
Dependable Classical-Quantum Computer Systems Engineering Open
Quantum Computing (QC) offers the potential to enhance traditional High-Performance Computing (HPC) workloads by leveraging the unique properties of quantum computers, leading to the emergence of a new paradigm: HPC-QC. While this integrat…
View article: On the Efficacy of Surface Codes in Compensating for Radiation Events in Superconducting Devices
On the Efficacy of Surface Codes in Compensating for Radiation Events in Superconducting Devices Open
Reliability is fundamental for developing large-scale quantum computers. Since the benefit of technological advancements to the qubit's stability is saturating, algorithmic solutions, such as quantum error correction (QEC) codes, are neede…
View article: Trikarenos: Design and Experimental Characterization of a Fault-Tolerant 28nm RISC-V-based SoC
Trikarenos: Design and Experimental Characterization of a Fault-Tolerant 28nm RISC-V-based SoC Open
RISC-V-based fault-tolerant system-on-chip (SoC) designs are critical for the new generation of automotive and space SoC architectures. However, reliability assessment requires characterization under controlled radiation doses to accuratel…
View article: Reliability and Security of AI Hardware
Reliability and Security of AI Hardware Open
In recent years, Artificial Intelligence (AI) systems have achieved revolutionary capabilities, providing intelligent solutions that surpass human skills in many cases. However, such capabilities come with power-hungry computation workload…
View article: Can GPU performance increase faster than the code error rate?
Can GPU performance increase faster than the code error rate? Open
View article: Neutrons Sensitivity of Deep Reinforcement Learning Policies on EdgeAI Accelerators
Neutrons Sensitivity of Deep Reinforcement Learning Policies on EdgeAI Accelerators Open
International audience
View article: Impact of High-Level Synthesis on Reliability of Artificial Neural Network Hardware Accelerators
Impact of High-Level Synthesis on Reliability of Artificial Neural Network Hardware Accelerators Open
International audience
View article: Assessing the Impact of Compiler Optimizations on GPUs Reliability
Assessing the Impact of Compiler Optimizations on GPUs Reliability Open
Graphics Processing Units (GPUs) compilers have evolved in order to support general-purpose programming languages for multiple architectures. NVIDIA CUDA Compiler (NVCC) has many compilation levels before generating the machine code and ap…
View article: State of practice: evaluating GPU performance of state vector and tensor network methods
State of practice: evaluating GPU performance of state vector and tensor network methods Open
The frontier of quantum computing (QC) simulation on classical hardware is quickly reaching the hard scalability limits for computational feasibility. Nonetheless, there is still a need to simulate large quantum systems classically, as the…
View article: Artificial Neural Networks for Space and Safety-Critical Applications: Reliability Issues and Potential Solutions
Artificial Neural Networks for Space and Safety-Critical Applications: Reliability Issues and Potential Solutions Open
Machine Learning is among the greatest advancements in computer science and engineering and is today used to classify or detect objects, a key feature in autonomous vehicles. Since neural networks are heavily used in safety-critical applic…
View article: Understanding Logical-Shift Error Propagation in Quanvolutional Neural Networks
Understanding Logical-Shift Error Propagation in Quanvolutional Neural Networks Open
Quanvolutional neural networks (QNNs) have been successful in image classification, exploiting inherent quantum capabilities to improve performance of traditional convolution. Unfortunately, the qubit's reliability can be a significant iss…
View article: Understanding the Effects of Permanent Faults in GPU's Parallelism Management and Control Units
Understanding the Effects of Permanent Faults in GPU's Parallelism Management and Control Units Open
Modern Graphics Processing Units (GPUs) demand life expectancy extended to many years, exposing the hardware to aging (i.e., permanent faults arising after the end-of-manufacturing test). Hence, techniques to assess permanent fault impacts…
View article: Understanding and Improving GPUs' Reliability Combining Beam Experiments with Fault Simulation
Understanding and Improving GPUs' Reliability Combining Beam Experiments with Fault Simulation Open
International audience
View article: TA04-48: Thermal Neutrons Effects on CNN Executions
TA04-48: Thermal Neutrons Effects on CNN Executions Open
RADNEXT Transnational Access Summary Report
View article: TA07-174: Reinforcement Learning Reliability for Industrial Applications
TA07-174: Reinforcement Learning Reliability for Industrial Applications Open
RADNEXT Transnational Access Summary Report
View article: Neutron-Induced Error Rate of Vision Transformer Models on GPUs
Neutron-Induced Error Rate of Vision Transformer Models on GPUs Open
International audience
View article: A Systematic Methodology to Compute the Quantum Vulnerability Factors for Quantum Circuits
A Systematic Methodology to Compute the Quantum Vulnerability Factors for Quantum Circuits Open
Quantum computing is one of the most promising technology advances of the latest years. Once only a conceptual idea to solve physics simulations, quantum computation is today a reality, with numerous machines able to execute quantum algori…