PUBLICACIÓN

Comparison of the Performance of the Intel Quantum Simulator on HPC Systems

ACCEDER A LA PUBLICACIÓN: Scopus

Talavan-Vega D.; Fernandez-Alonso P.; Rodriguez-Oliver P.; Corral-Garcia J.; Rico-Gallego J.A.

2025 Annsim 2025 Annual Modeling and Simulation Conference 2025

CITAS

0

EID

2-s2.0-105015987706

ISBN

9798331316167

AUTORES DE LA UEX

Juan Antonio Rico Gallego

OTRAS PUBLICACIONES DE INTERÉS

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Evaluating Programming Optimization Techniques In C And Python: Impact On Energy Consumption
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Improving Energy Efficiency In A Data Center: Pue Analyzing And Tuning
Evaluating Programming Optimization Techniques In C And Python: Impact On Energy Consumption
Improving Energy Efficiency In A Data Center: Pue Analyzing And Tuning
Comparison Of The Performance Of The Intel Quantum Simulator On Hpc Systems
Improving Energy Efficiency In A Data Center: Pue Analyzing And Tuning
Comparison Of The Performance Of The Intel Quantum Simulator On Hpc Systems
Comparison Of The Performance Of The Intel Quantum Simulator On Hpc Systems
Comparison Of The Performance Of The Intel Quantum Simulator On Hpc Systems
Comparison Of The Performance Of The Intel Quantum Simulator On Hpc Systems
Pulse: A Modular Framework For Predictive Energy Efficiency In Heterogeneous Data Centers
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Pulse: A Modular Framework For Predictive Energy Efficiency In Heterogeneous Data Centers
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Self-Supervised Learning On Small In-Domain Datasets Can Overcome Supervised Learning In Remote Sensing
Performance Evaluation Of The Intel Quantum Simulator On The Lusitania Supercomputer
Self-Supervised Learning On Small In-Domain Datasets Can Overcome Supervised Learning In Remote Sensing
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Orthogonal Projection For Anomaly Detection In Networking Datasets
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Orthogonal Projection For Anomaly Detection In Networking Datasets
Model-Based Selection Of Optimal Mpi Broadcast Algorithms For Multi-Core Clusters
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Model-Based Selection Of Optimal Mpi Broadcast Algorithms For Multi-Core Clusters
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Classification Of Maps On A Finite Set Under Permutation
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Classification Of Maps On A Finite Set Under Permutation
Distributed Deep Learning For Remote Sensing Data Interpretation
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Heterogeneous Model Parallelism For Deep Neural Networks
Distributed Deep Learning For Remote Sensing Data Interpretation
Heterogeneous Model Parallelism For Deep Neural Networks
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Performance Evaluation Of Model-Driven Partitioning Algorithms For Data-Parallel Kernels On Heterogeneous Platforms
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Analysis Of Energy Consumption And Optimization Techniques For Writing Energy-Efficient Code
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Spiking Neuron-Astrocyte Networks For Image Recognition
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