:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Vogelsang, Jan, Lober, Melissa, Schöfmann, Catherine Mia, Villamar, José, Terhorst, Dennis, Senk, Johanna, Plesser, Hans Ekkehard, Diesmann, Markus, Kunkel, Susanne, Kurth, Anno C.
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Distributed, Parallel, and Cluster Computing
Accesso online:	https://arxiv.org/abs/2604.15919
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Exploiting network topology in brain-scale simulations of spiking neural networks
di: Lober, Melissa, et al.
Pubblicazione: (2026)

Constructive community race: full-density spiking neural network model drives neuromorphic computing
di: Senk, Johanna, et al.
Pubblicazione: (2025)

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

Learning sequence timing and control of replay speed in networks of spiking neurons
di: Lober, Melissa, et al.
Pubblicazione: (2026)

Data, figures, and figure-generating scripts for "Cell-type specific projection patterns promote balanced activity in cortical microcircuits"
di: Kurth, Anno Christopher, et al.
Pubblicazione: (2025)

Reconciliation of weak pairwise spike-train correlations and highly coherent local field potentials across space
di: Senk, Johanna, et al.
Pubblicazione: (2018)

A Review of Tools and Techniques for Optimization of Workload Mapping and Scheduling in Heterogeneous HPC System
di: Sharma, Aasish Kumar, et al.
Pubblicazione: (2025)

GrapheonRL: A Graph Neural Network and Reinforcement Learning Framework for Constraint and Data-Aware Workflow Mapping and Scheduling in Heterogeneous HPC Systems
di: Sharma, Aasish Kumar, et al.
Pubblicazione: (2025)

When GPUs Fail Quietly: Observability-Aware Early Warning Beyond Numeric Telemetry
di: Bidollahkhani, Michael, et al.
Pubblicazione: (2026)

Workflow-Driven Modeling for the Compute Continuum: An Optimization Approach to Automated System and Workload Scheduling
di: Sharma, Aasish Kumar, et al.
Pubblicazione: (2025)

Chat AI: A Seamless Slurm-Native Solution for HPC-Based Services
di: Doosthosseini, Ali, et al.
Pubblicazione: (2024)

Workload Buoyancy: Keeping Apps Afloat by Identifying Shared Resource Bottlenecks
di: Larsson, Oliver, et al.
Pubblicazione: (2026)

Testing and benchmarking emerging supercomputers via the MFC flow solver
di: Wilfong, Benjamin, et al.
Pubblicazione: (2025)

Effective implementation of the High Performance Conjugate Gradient benchmark on GraphBLAS
di: Scolari, Alberto, et al.
Pubblicazione: (2023)

Phenomenological modeling of diverse and heterogeneous synaptic dynamics at natural density
di: Korcsak-Gorzo, Agnes, et al.
Pubblicazione: (2022)

Ontological Knowledge Blocks: Executable Compliance and Profile-Based Validation for Trustworthy AI Systems
di: Sharma, Aasish Kumar, et al.
Pubblicazione: (2026)

An Empirical Analysis of Secure Federated Learning for Autonomous Vehicle Applications
di: Mia, Md Jueal, et al.
Pubblicazione: (2025)

Event-driven eligibility propagation in large sparse networks: efficiency shaped by biological realism
di: Korcsak-Gorzo, Agnes, et al.
Pubblicazione: (2025)

A Treasure Trove of Performance: Analyzing the IO500 Submission Data
di: Kunkel, Julian, et al.
Pubblicazione: (2026)

Keep Your Friends Close: Leveraging Affinity Groups to Accelerate AI Inference Workflows
di: Garrett, Thiago, et al.
Pubblicazione: (2023)

Evaluating Large Language Models for Workload Mapping and Scheduling in Heterogeneous HPC Systems
di: Sharma, Aasish Kumar, et al.
Pubblicazione: (2025)

Advancing Polyglot Big Data Processing using the Hadoop ecosystem
di: Seabra, Antony, et al.
Pubblicazione: (2025)

Integrating Blockchain technology within an Information Ecosystem
di: Salzano, Francesco, et al.
Pubblicazione: (2024)

The High Cost of Keeping Warm: Characterizing Overhead in Serverless Autoscaling Policies
di: Kondrashov, Leonid, et al.
Pubblicazione: (2025)

Exploring Performance-Productivity Trade-offs in AMT Runtimes: A Task Bench Study of Itoyori, ItoyoriFBC, HPX, and MPI
di: Lahnor, Torben R., et al.
Pubblicazione: (2026)

FedShield-LLM: A Secure and Scalable Federated Fine-Tuned Large Language Model
di: Mia, Md Jueal, et al.
Pubblicazione: (2025)

Towards Polyglot Data Processing in Social Networks using the Hadoop-Spark ecosystem
di: Seabra, Antony, et al.
Pubblicazione: (2025)

City-Scale Visibility Graph Analysis via GPU-Accelerated HyperBall
di: Hodge, Alex, et al.
Pubblicazione: (2026)

DECICE: AI-Driven Scheduling and Digital Twin Integration for the Cloud-HPC-Edge Compute Continuum
di: Sharma, Aasish Kumar, et al.
Pubblicazione: (2026)

Learning to Keep a Promise: Scaling Language Model Decoding Parallelism with Learned Asynchronous Decoding
di: Jin, Tian, et al.
Pubblicazione: (2025)

Interactive and Urgent HPC: Challenges and Opportunities
di: Reuther, Albert, et al.
Pubblicazione: (2024)

QuanCrypt-FL: Quantized Homomorphic Encryption with Pruning for Secure Federated Learning
di: Mia, Md Jueal, et al.
Pubblicazione: (2024)

Assessing the similarity of real matrices with arbitrary shape
di: Albers, Jasper, et al.
Pubblicazione: (2024)

Towards System-Oriented Formal Verification of Local-First Access Control
di: Jacob, Florian, et al.
Pubblicazione: (2026)

Interactive and Urgent HPC: State of the Research
di: Reuther, Albert, et al.
Pubblicazione: (2026)

Resilient Auto-Scaling of Microservice Architectures with Efficient Resource Management
di: Ahmad, Hussain, et al.
Pubblicazione: (2025)

Cuckoo-GPU: Accelerating Cuckoo Filters on Modern GPUs
di: Dortmann, Tim, et al.
Pubblicazione: (2026)

Exploiting ray tracing technology through OptiX to compute particle interactions with cutoff in a 3D environment on GPU
di: David, Algis, et al.
Pubblicazione: (2024)

New technologies for big multimedia data treatment
di: Mercedes Barrionuevo
Pubblicazione: (2013)

Analytical Performance Estimation during Code Generation on Modern GPUs
di: Ernst, Dominik, et al.
Pubblicazione: (2022)