Zobrazeno 1 - 10
of 232
pro vyhledávání: '"RECH, PAOLO"'
Autor:
Iurada, Leonardo, Cavagnero, Niccolò, Santos, Fernando Fernandes Dos, Averta, Giuseppe, Rech, Paolo, Tommasi, Tatiana
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. Using establis
Externí odkaz:
http://arxiv.org/abs/2408.16952
Autor:
Giusto, Edoardo, Nuñez-Corrales, Santiago, Cao, Phuong, Cilardo, Alessandro, Iyer, Ravishankar K., Jiang, Weiwen, Rech, Paolo, Vella, Flavio, Montrucchio, Bartolomeo, Dasgupta, Samudra, Humble, Travis S.
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 integration present
Externí odkaz:
http://arxiv.org/abs/2408.10484
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 needed to bridge
Externí odkaz:
http://arxiv.org/abs/2407.10841
Autor:
Rogenmoser, Michael, Wiese, Philip, Forlin, Bruno Endres, Gürkaynak, Frank K., Rech, Paolo, Menicucci, Alessandra, Ottavi, Marco, Benini, Luca
We present a fault-tolerant by-design RISC-V SoC and experimentally assess it under atmospheric neutrons and 200 MeV protons. The dedicated ECC and Triple-Core Lockstep countermeasures correct most errors, guaranteeing a device cross-section lower th
Externí odkaz:
http://arxiv.org/abs/2407.05938
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 Noisy Inte
Externí odkaz:
http://arxiv.org/abs/2401.06188
Autor:
Guerrero-Balaguera, Juan-David, Condia, Josie E. Rodriguez, Santos, Fernando F. dos, Sonza, Matteo, Rech, Paolo
Publikováno v:
ACM/IEEE International Conference for High Performance Computing, Networking, Storage, and Analysis, ACM; IEEE, Nov 2023, Denver, United States
Graphics Processing Units (GPUs) are over-stressed to accelerate High-Performance Computing applications and are used to accelerate Deep Neural Networks in several domains where they have a life expectancy of many years. These conditions expose the G
Externí odkaz:
http://arxiv.org/abs/2306.10856
Autor:
Santos, Fernando Fernandes dos, Kritikakou, Angeliki, Condia, Josie Esteban Rodriguez, Balaguera, Juan David Guerrero, Reorda, Matteo Sonza, Sentieys, Olivier, Rech, Paolo
The reliability evaluation of Deep Neural Networks (DNNs) executed on Graphic Processing Units (GPUs) is a challenging problem since the hardware architecture is highly complex and the software frameworks are composed of many layers of abstraction. W
Externí odkaz:
http://arxiv.org/abs/2211.13094
Autor:
Cavagnero, Niccolò, Santos, Fernando Dos, Ciccone, Marco, Averta, Giuseppe, Tommasi, Tatiana, Rech, Paolo
Deep Neural Networks (DNNs) enable a wide series of technological advancements, ranging from clinical imaging, to predictive industrial maintenance and autonomous driving. However, recent findings indicate that transient hardware faults may corrupt t
Externí odkaz:
http://arxiv.org/abs/2205.14420
Autor:
Oliveira, Daniel, Giusto, Edoardo, Dri, Emanuele, Casciola, Nadir, Baheri, Betis, Guan, Qiang, Montrucchio, Bartolomeo, Rech, Paolo
Quantum computing is a new technology that is expected to revolutionize the computation paradigm in the next few years. Qubits exploit the quantum physics proprieties to increase the parallelism and speed of computation. Unfortunately, besides being
Externí odkaz:
http://arxiv.org/abs/2203.07183
Autor:
Oliveira, Daniel, Giusto, Edoardo, Baheri, Betis, Guan, Qiang, Montrucchio, Bartolomeo, Rech, Paolo
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 algorithms. One o
Externí odkaz:
http://arxiv.org/abs/2111.07085