Cover Image

LAMMPS-KOKKOS: Performance Portable Molecular Dynamics Across Exascale Architectures

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Johansson, Anders, Weinberg, Evan, Trott, Christian R., McCarthy, Megan J., Moore, Stan G.
Format:	Preprint
Published:	2025
Subjects:	Distributed, Parallel, and Cluster Computing Performance Computational Physics C.1.4; C.2.4; C.4; D.1.3; D.3.4; E.1; I.6; I.6.8; J.2
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ZK-SenseLM: Verifiable Large-Model Wireless Sensing with Selective Abstention and Zero-Knowledge Attestation
by: Akgul, Hasan, et al.
Published: (2025)

EcoFair: Trustworthy and Energy-Aware Routing for Privacy-Preserving Vertically Partitioned Medical Inference
by: Anoosha, Mostafa, et al.
Published: (2026)

GraphPerf-RT: A Graph-Driven Performance Model for Hardware-Aware Scheduling of OpenMP Codes
by: Pivezhandi, Mohammad, et al.
Published: (2025)

FedMentalCare: Towards Privacy-Preserving Fine-Tuned LLMs to Analyze Mental Health Status Using Federated Learning Framework
by: Sarwar, Nobin
Published: (2025)

FEDTAIL: Federated Long-Tailed Domain Generalization with Sharpness-Guided Gradient Matching
by: Gupta, Sunny, et al.
Published: (2025)

FedStein: Enhancing Multi-Domain Federated Learning Through James-Stein Estimator
by: Gupta, Sunny, et al.
Published: (2024)

UniVarFL: Uniformity and Variance Regularized Federated Learning for Heterogeneous Data
by: Gupta, Sunny, et al.
Published: (2025)

FedAlign: Federated Domain Generalization with Cross-Client Feature Alignment
by: Gupta, Sunny, et al.
Published: (2025)

HiDVFS: A Hierarchical Multi-Agent DVFS Scheduler for OpenMP DAG Workloads
by: Pivezhandi, Mohammad, et al.
Published: (2026)

Feature-Aware Task-to-Core Allocation in Embedded Multi-core Platforms via Statistical Learning
by: Pivezhandi, Mohammad, et al.
Published: (2025)

Secure and Scalable Blockchain Voting: A Comparative Framework and the Role of Large Language Models
by: Kiashemshaki, Kiana, et al.
Published: (2025)

MoE-Prefill: Zero Redundancy Overheads in MoE Prefill Serving
by: Su, Zhaoyuan, et al.
Published: (2026)

Risk-Calibrated Bayesian Streaming Intrusion Detection with SRE-Aligned Decisions
by: Youssef, Michel
Published: (2025)

Social Dynamics of DAOs: Power, Onboarding, and Inclusivity
by: Kozlova, Victoria, et al.
Published: (2025)

LLM-as-a-Fuzzy-Judge: Fine-Tuning Large Language Models as a Clinical Evaluation Judge with Fuzzy Logic
by: Zheng, Weibing, et al.
Published: (2025)

A Faster and More Reliable Middleware for Autonomous Driving Systems
by: He, Yuankai, et al.
Published: (2025)

FLeNS: Federated Learning with Enhanced Nesterov-Newton Sketch
by: Gupta, Sunny, et al.
Published: (2024)

FastLEC: Parallel Datapath Equivalence Checking with Hybrid Engines
by: Zhang, Xindi, et al.
Published: (2025)

Ultra-Fast Device-Free Visible Light Sensing and Localization via Reflection-Based ΔRSS and Deep Learning
by: Serpi, Helena, et al.
Published: (2026)

Machine Learning based Radio Environment Map Estimation for Indoor Visible Light Communication
by: Serpi, Helena, et al.
Published: (2025)

LLM-Driven Large-Scale Spectrum Access
by: Yang, Ning, et al.
Published: (2026)

Steering Conceptual Bias via Transformer Latent-Subspace Activation
by: Sharma, Vansh, et al.
Published: (2025)

Sutra: Tensor-Op RNNs as a Compilation Target for Vector Symbolic Architectures
by: Leonhart, Emma
Published: (2026)

Mobile Traffic Prediction at the Edge Through Distributed and Deep Transfer Learning
by: Petrella, Alfredo, et al.
Published: (2023)

Characterizing 5G User Throughput via Uncertainty Modeling and Crowdsourced Measurements
by: Albert-Smet, Javier, et al.
Published: (2025)

Janus: Compiler-Based Defense Against Transient Execution Attacks Using ARM Hardware Primitives
by: Ouyang, Ciyan, et al.
Published: (2026)

Deploy, Calibrate, Monitor, Heal -- No Human Required: An Autonomous AI SRE Agent for Elasticsearch
by: Mukkolakkal, Muhamed Ramees Cheriya
Published: (2026)

DURA-CPS: A Multi-Role Orchestrator for Dependability Assurance in LLM-Enabled Cyber-Physical Systems
by: Srinivasan, Trisanth, et al.
Published: (2025)

CoSense-LLM: Semantics at the Edge with Cost- and Uncertainty-Aware Cloud-Edge Cooperation
by: Akgul, Hasan, et al.
Published: (2025)

PoCL-R: An Open Standard Based Offloading Layer for Heterogeneous Multi-Access Edge Computing with Server Side Scalability
by: Solanti, Jan, et al.
Published: (2023)

Parallelization Strategies for Dense LLM Deployment: Navigating Through Application-Specific Tradeoffs and Bottlenecks
by: Topcu, Burak, et al.
Published: (2026)

Predictive Analytics for Collaborators Answers, Code Quality, and Dropout on Stack Overflow
by: Zolduoarrati, Elijah, et al.
Published: (2025)

The OCON model: an old but green solution for distributable supervised classification for acoustic monitoring in smart cities
by: Giacomelli, Stefano, et al.
Published: (2024)

Next-Generation Event-Driven Architectures: Performance, Scalability, and Intelligent Orchestration Across Messaging Frameworks
by: Arafat, Jahidul, et al.
Published: (2025)

Evaluating Progress in Web3 Grants: Introducing the Grant Maturity Index
by: Biedermann, Ben, et al.
Published: (2024)

Intelligent Cloud Orchestration: A Hybrid Predictive and Heuristic Framework for Cost Optimization
by: Nagoriya, Heet, et al.
Published: (2026)

"What Is It That You Don't Understand?" Language Games and Black Box Algorithms
by: Demichelis, Remy
Published: (2026)

FedHypeVAE: Federated Learning with Hypernetwork Generated Conditional VAEs for Differentially Private Embedding Sharing
by: Gupta, Sunny, et al.
Published: (2026)

Classification of Cattle Behavior and Detection of Heat (Estrus) using Sensor Data
by: Dhakshinamoorthy, Druva, et al.
Published: (2025)

Speculative Automated Refactoring of Imperative Deep Learning Programs to Graph Execution
by: Khatchadourian, Raffi, et al.
Published: (2025)