:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Abreu, Steven, Pedersen, Jens E.
Format:	Preprint
Published:	2024
Subjects:	Neural and Evolutionary Computing Artificial Intelligence Distributed, Parallel, and Cluster Computing Emerging Technologies Programming Languages
Online Access:	https://arxiv.org/abs/2410.22352
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Edge Intelligence with Spiking Neural Networks
by: Deng, Shuiguang, et al.
Published: (2025)

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

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

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

All-to-all reconfigurability with sparse and higher-order Ising machines
by: Nikhar, Srijan, et al.
Published: (2023)

When Federated Learning Meets Quantum Computing: Survey and Research Opportunities
by: Mathur, Aakar, et al.
Published: (2025)

SFedCA: Credit Assignment-Based Active Client Selection Strategy for Spiking Federated Learning
by: Zhan, Qiugang, et al.
Published: (2024)

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

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

Hopfield Networks Meet Big Data: A Brain-Inspired Deep Learning Framework for Semantic Data Linking
by: Kannan, Ashwin Viswanathan, et al.
Published: (2025)

Adaptive Domain Models: Bayesian Evolution, Warm Rotation, and Principled Training for Geometric and Neuromorphic AI
by: Haynes, Houston
Published: (2026)

Discovering Software Parallelization Points Using Deep Neural Networks
by: Correia, Izavan dos S., et al.
Published: (2025)

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

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

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

Mem-elements based Neuromorphic Hardware for Neural Network Application
by: Singh, Ankur
Published: (2024)

An MLIR Lowering Pipeline for Stencils at Wafer-Scale
by: Stawinoga, Nicolai, et al.
Published: (2026)

Breaking the MoE LLM Trilemma: Dynamic Expert Clustering with Structured Compression
by: Zhu, Peijun, et al.
Published: (2025)

CLAASIC: a Cortex-Inspired Hardware Accelerator
by: Puente, Valentin, et al.
Published: (2016)

Envisioning National Resources for Artificial Intelligence Research: NSF Workshop Report
by: Jha, Shantenu, et al.
Published: (2024)

Evaluating Kubernetes Performance for GenAI Inference: From Automatic Speech Recognition to LLM Summarization
by: Malleni, Sai Sindhur, et al.
Published: (2026)

Towards Efficient Key-Value Cache Management for Prefix Prefilling in LLM Inference
by: Zhu, Yue, et al.
Published: (2025)

Analysing semantic data storage in Distributed Ledger Technologies for Data Spaces
by: Cano-Benito, Juan, et al.
Published: (2025)

Enhancing Disaster Resilience with UAV-Assisted Edge Computing: A Reinforcement Learning Approach to Managing Heterogeneous Edge Devices
by: Azfar, Talha, et al.
Published: (2025)

Noise-augmented Chaotic Ising Machines for Combinatorial Optimization and Sampling
by: Lee, Kyle, et al.
Published: (2024)

Probabilistic Computers for MIMO Detection: From Sparsification to 2D Parallel Tempering
by: Sajeeb, M Mahmudul Hasan, et al.
Published: (2026)

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

Cyclic Data Parallelism for Efficient Parallelism of Deep Neural Networks
by: Fournier, Louis, et al.
Published: (2024)

Comparison of Microservice Call Rate Predictions for Replication in the Cloud
by: Mehran, Narges, et al.
Published: (2023)

Online Continual Learning on Intel Loihi 2 via a Co-designed Spiking Neural Network
by: Hajizada, Elvin, et al.
Published: (2025)

STEMS: Spatial-Temporal Mapping For Spiking Neural Networks
by: Eissa, Sherif, et al.
Published: (2025)

Neural Cellular Automata Can Respond to Signals
by: Stovold, James
Published: (2023)

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

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

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

Generative AI for Software Architecture. Applications, Challenges, and Future Directions
by: Esposito, Matteo, et al.
Published: (2025)

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

E-QUARTIC: Energy Efficient Edge Ensemble of Convolutional Neural Networks for Resource-Optimized Learning
by: Zhang, Le, et al.
Published: (2024)

KPI2KVI: A Multi Agent Workflow for Calculating Key Value Indicators from Service Descriptions
by: Shokrnezhad, Masoud, et al.
Published: (2026)