Imagen de Portada

Linear Reservoir: A Diagonalization-Based Optimization

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	de Coudenhove, Romain, Bendi-Ouis, Yannis, Strock, Anthony, Hinaut, Xavier
Formato:	Preprint
Publicado:	2026
Materias:	Distributed, Parallel, and Cluster Computing Neural and Evolutionary Computing Complex Variables Dynamical Systems
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy
por: Boraud, Virgile, et al.
Publicado: (2025)

D-CODE: Data Colony Optimization for Dynamic Network Efficiency
por: Pandey, Tannu, et al.
Publicado: (2024)

Evaluation and Efficiency Comparison of Evolutionary Algorithms for Service Placement Optimization in Fog Architectures
por: Guerrero, Carlos, et al.
Publicado: (2025)

Revisiting time-variant complex conjugate matrix equations with their corresponding real field time-variant large-scale linear equations, neural hypercomplex numbers space compressive approximation approach
por: He, Jiakuang, et al.
Publicado: (2024)

Hybrid Approach to Parallel Stochastic Gradient Descent
por: Vora, Aakash Sudhirbhai, et al.
Publicado: (2024)

Enhancing Computational Efficiency in Multiscale Systems Using Deep Learning of Coordinates and Flow Maps
por: Hamid, Asif, et al.
Publicado: (2024)

A Frequency-based Parent Selection for Reducing the Effect of Evaluation Time Bias in Asynchronous Parallel Multi-objective Evolutionary Algorithms
por: Harada, Tomohiro
Publicado: (2021)

Code generation and runtime techniques for enabling data-efficient deep learning training on GPUs
por: Wu, Kun
Publicado: (2024)

Neuromorphic Simulation of Drosophila Melanogaster Brain Connectome on Loihi 2
por: Wang, Felix, et al.
Publicado: (2025)

SSDTrain: An Activation Offloading Framework to SSDs for Faster Large Language Model Training
por: Wu, Kun, et al.
Publicado: (2024)

A Fresh Approach to Evaluate Performance in Distributed Parallel Genetic Algorithms
por: Harada, Tomohiro, et al.
Publicado: (2021)

Reducing Data Bottlenecks in Distributed, Heterogeneous Neural Networks
por: Lin, Ruhai, et al.
Publicado: (2024)

Trackable Agent-based Evolution Models at Wafer Scale
por: Moreno, Matthew Andres, et al.
Publicado: (2024)

Trackable Island-model Genetic Algorithms at Wafer Scale
por: Moreno, Matthew Andres, et al.
Publicado: (2024)

Sparse Spiking Neural-like Membrane Systems on Graphics Processing Units
por: Hernández-Tello, Javier, et al.
Publicado: (2024)

EvoGit: Decentralized Code Evolution via Git-Based Multi-Agent Collaboration
por: Huang, Beichen, et al.
Publicado: (2025)

Federated Learning in Chemical Engineering: A Tutorial on a Framework for Privacy-Preserving Collaboration Across Distributed Data Sources
por: Dutta, Siddhant, et al.
Publicado: (2024)

Man-Made Heuristics Are Dead. Long Live Code Generators!
por: Dwivedula, Rohit, et al.
Publicado: (2025)

Zeroing neural dynamics solving time-variant complex conjugate matrix equation $X(τ)F(τ)-A(τ)\overline{X}(τ)=C(τ)$
por: He, Jiakuang, et al.
Publicado: (2024)

A Reinforced Evolution-Based Approach to Multi-Resource Load Balancing
por: Sliwko, Leszek
Publicado: (2025)

Neuromorphic Computing: A Theoretical Framework for Time, Space, and Energy Scaling
por: Aimone, James B
Publicado: (2025)

HiAER-Spike: Hardware-Software Co-Design for Large-Scale Reconfigurable Event-Driven Neuromorphic Computing
por: Frank, Gwenevere, et al.
Publicado: (2025)

Neuromorphic hardware for sustainable AI data centers
por: Vogginger, Bernhard, et al.
Publicado: (2024)

phys-MCP: A Control Plane for Heterogeneous Physical Neural Networks
por: Fischer, Stefan, et al.
Publicado: (2026)

GAP2WSS: A Genetic Algorithm based on the Pareto Principle for Web Service Selection
por: Khatoonabadi, SayedHassan, et al.
Publicado: (2021)

The AI Shadow War: SaaS vs. Edge Computing Architectures
por: Marpu, Rhea Pritham, et al.
Publicado: (2025)

Wireless Sensor Networks as Parallel and Distributed Hardware Platform for Artificial Neural Networks
por: Serpen, Gursel
Publicado: (2025)

NeuroRing: Scaling Spiking Neural Networks via Multi-FPGA Bidirectional Ring Topologies and Stream-Dataflow Architectures
por: Hafiz, Muhammad Ihsan Al, et al.
Publicado: (2026)

MAC-DO: An Efficient Output-Stationary GEMM Accelerator for CNNs Using DRAM Technology
por: Jeong, Minki, et al.
Publicado: (2022)

Asynchronous Evolution of Deep Neural Network Architectures
por: Liang, Jason, et al.
Publicado: (2023)

Distributed genetic algorithm for application placement in the compute continuum leveraging infrastructure nodes for optimization
por: Guerrero, Carlos, et al.
Publicado: (2024)

Split Federated Learning Over Heterogeneous Edge Devices: Algorithm and Optimization
por: Sun, Yunrui, et al.
Publicado: (2024)

Kernel Foundry: A Diagnosis-driven Evolutionary Kernel Optimizer with Multi-Experts
por: Huang, Zixuan, et al.
Publicado: (2026)

ParEVO: Synthesizing Code for Irregular Data: High-Performance Parallelism through Agentic Evolution
por: Yang, Liu, et al.
Publicado: (2026)

OpenRASE: Service Function Chain Emulation
por: Krishnamohan, Theviyanthan, et al.
Publicado: (2025)

Towards a Decentralised Application-Centric Orchestration Framework in the Cloud-Edge Continuum
por: Ullah, Amjad, et al.
Publicado: (2025)

Discrete the solving model of time-variant standard Sylvester-conjugate matrix equations using Euler-forward formula
por: He, Jiakuang, et al.
Publicado: (2024)

Bio-inspired Agentic Self-healing Framework for Resilient Distributed Computing Continuum Systems
por: Saleh, Alaa, et al.
Publicado: (2026)

Scalable Construction of Spiking Neural Networks using up to thousands of GPUs
por: Golosio, Bruno, et al.
Publicado: (2025)

DarwinNet: An Evolutionary Network Architecture for Agent-Driven Protocol Synthesis
por: Xu, Jinliang, et al.
Publicado: (2026)