MOSS: A Large-scale Open Microscopic Traffic Simulation System
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Jun, Ao, Wenxuan, Yan, Junbo, Rong, Can, Jin, Depeng, Wu, Wei, Li, Yong |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Large Scale Multi-GPU Based Parallel Traffic Simulation for Accelerated Traffic Assignment and Propagation
by: Jiang, Xuan, et al.
Published: (2024)
by: Jiang, Xuan, et al.
Published: (2024)
Large-scale Neural Network Quantum States for ab initio Quantum Chemistry Simulations on Fugaku
by: Xu, Hongtao, et al.
Published: (2025)
by: Xu, Hongtao, et al.
Published: (2025)
Pro-Prophet: A Systematic Load Balancing Method for Efficient Parallel Training of Large-scale MoE Models
by: Wang, Wei, et al.
Published: (2024)
by: Wang, Wei, et al.
Published: (2024)
FLAME: A Serving System Optimized for Large-Scale Generative Recommendation with Efficiency
by: Guo, Xianwen, et al.
Published: (2025)
by: Guo, Xianwen, et al.
Published: (2025)
PALM: A Efficient Performance Simulator for Tiled Accelerators with Large-scale Model Training
by: Fang, Jiahao, et al.
Published: (2024)
by: Fang, Jiahao, et al.
Published: (2024)
An Efficient, Reliable and Observable Collective Communication Library in Large-scale GPU Training Clusters
by: Zhang, Mingjun, et al.
Published: (2025)
by: Zhang, Mingjun, et al.
Published: (2025)
Disaggregated Prefill and Decoding Inference System for Large Language Model Serving on Multi-Vendor GPUs
by: Chen, Xing, et al.
Published: (2025)
by: Chen, Xing, et al.
Published: (2025)
AIReSim: A Discrete Event Simulator for Large-scale AI Cluster Reliability Modeling
by: Pattabiraman, Karthik, et al.
Published: (2026)
by: Pattabiraman, Karthik, et al.
Published: (2026)
Spatiotemporal Traffic Prediction in Distributed Backend Systems via Graph Neural Networks
by: Qiu, Zhimin, et al.
Published: (2025)
by: Qiu, Zhimin, et al.
Published: (2025)
MoEntwine: Unleashing the Potential of Wafer-scale Chips for Large-scale Expert Parallel Inference
by: Tang, Xinru, et al.
Published: (2025)
by: Tang, Xinru, et al.
Published: (2025)
Developing an Interactive OpenMP Programming Book with Large Language Models
by: Yi, Xinyao, et al.
Published: (2024)
by: Yi, Xinyao, et al.
Published: (2024)
BigSUMO: A Scalable Framework for Big Data Traffic Analytics and Parallel Simulation
by: Sengupta, Rahul, et al.
Published: (2026)
by: Sengupta, Rahul, et al.
Published: (2026)
Switchboard: An Open-Source Framework for Modular Simulation of Large Hardware Systems
by: Herbst, Steven, et al.
Published: (2024)
by: Herbst, Steven, et al.
Published: (2024)
SWIFT: Expedited Failure Recovery for Large-scale DNN Training
by: Zhong, Yuchen, et al.
Published: (2023)
by: Zhong, Yuchen, et al.
Published: (2023)
DRackSim: Simulator for Rack-scale Memory Disaggregation
by: Puri, Amit, et al.
Published: (2023)
by: Puri, Amit, et al.
Published: (2023)
Towards Cloud Efficiency with Large-scale Workload Characterization
by: Parayil, Anjaly, et al.
Published: (2024)
by: Parayil, Anjaly, et al.
Published: (2024)
GPU-Accelerated Distributed QAOA on Large-scale HPC Ecosystems
by: Xu, Zhihao, et al.
Published: (2025)
by: Xu, Zhihao, et al.
Published: (2025)
Humas: A Heterogeneity- and Upgrade-aware Microservice Auto-scaling Framework in Large-scale Data Centers
by: Hua, Qin, et al.
Published: (2024)
by: Hua, Qin, et al.
Published: (2024)
Expert-as-a-Service: Towards Efficient, Scalable, and Robust Large-scale MoE Serving
by: Liu, Ziming, et al.
Published: (2025)
by: Liu, Ziming, et al.
Published: (2025)
Towards the Distributed Large-scale k-NN Graph Construction by Graph Merge
by: Zhang, Cheng, et al.
Published: (2025)
by: Zhang, Cheng, et al.
Published: (2025)
GMLake: Efficient and Transparent GPU Memory Defragmentation for Large-scale DNN Training with Virtual Memory Stitching
by: Guo, Cong, et al.
Published: (2024)
by: Guo, Cong, et al.
Published: (2024)
BSODiag: A Global Diagnosis Framework for Batch Servers Outage in Large-scale Cloud Infrastructure Systems
by: Duan, Tao, et al.
Published: (2025)
by: Duan, Tao, et al.
Published: (2025)
OpenCUBE: Building an Open Source Cloud Blueprint with EPI Systems
by: Peng, Ivy, et al.
Published: (2024)
by: Peng, Ivy, et al.
Published: (2024)
Blockchain and Edge Computing Nexus: A Large-scale Systematic Literature Review
by: Nezami, Zeinab, et al.
Published: (2025)
by: Nezami, Zeinab, et al.
Published: (2025)
SimDC: A High-Fidelity Device Simulation Platform for Device-Cloud Collaborative Computing
by: Pei, Ruiguang, et al.
Published: (2025)
by: Pei, Ruiguang, et al.
Published: (2025)
Stencil Matrixization
by: Zhao, Wenxuan, et al.
Published: (2023)
by: Zhao, Wenxuan, et al.
Published: (2023)
Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction
by: Zhang, Chuanting, et al.
Published: (2025)
by: Zhang, Chuanting, et al.
Published: (2025)
Model Input Verification of Large Scale Simulations
by: Neykova, Rumyana, et al.
Published: (2024)
by: Neykova, Rumyana, et al.
Published: (2024)
ACE-GNN: Adaptive GNN Co-Inference with System-Aware Scheduling in Dynamic Edge Environments
by: Zhou, Ao, et al.
Published: (2025)
by: Zhou, Ao, et al.
Published: (2025)
Low-Latency Federated Fine-Tuning for Large Language Models Over Wireless Networks
by: Pang, Zhiwen, et al.
Published: (2026)
by: Pang, Zhiwen, et al.
Published: (2026)
C-Koordinator: Interference-aware Management for Large-scale and Co-located Microservice Clusters
by: Song, Shengye, et al.
Published: (2025)
by: Song, Shengye, et al.
Published: (2025)
A Real-Time, Auto-Regression Method for In-Situ Feature Extraction in Hydrodynamics Simulations
by: Yan, Kewei, et al.
Published: (2025)
by: Yan, Kewei, et al.
Published: (2025)
Malleus: Straggler-Resilient Hybrid Parallel Training of Large-scale Models via Malleable Data and Model Parallelization
by: Li, Haoyang, et al.
Published: (2024)
by: Li, Haoyang, et al.
Published: (2024)
Blockchain-aided wireless federated learning: Resource allocation and client scheduling
by: Li, Jun, et al.
Published: (2024)
by: Li, Jun, et al.
Published: (2024)
Hummingbird: SLO-Oriented GPU Preemption at Microsecond-scale
by: Hu, Tiancheng, et al.
Published: (2026)
by: Hu, Tiancheng, et al.
Published: (2026)
Modeling and Simulation of Traffic on I-485 via Linear Systems and Iterative Methods
by: Kealoha, Dominic, et al.
Published: (2024)
by: Kealoha, Dominic, et al.
Published: (2024)
Unleashing Collaborative Computing for Adaptive Video Streaming with Multi-objective Optimization in Satellite Terrestrial Networks
by: Shen, Zhishu, et al.
Published: (2024)
by: Shen, Zhishu, et al.
Published: (2024)
The Markovianity of Time: The Category Mistake in Open Quantum Systems
by: Borrill, Paul
Published: (2026)
by: Borrill, Paul
Published: (2026)
P-TimeSync: A Precise Time Synchronization Simulation with Network Propagation Delays
by: Dai, Wei, et al.
Published: (2024)
by: Dai, Wei, et al.
Published: (2024)
Seq1F1B: Efficient Sequence-Level Pipeline Parallelism for Large Language Model Training
by: Sun, Ao, et al.
Published: (2024)
by: Sun, Ao, et al.
Published: (2024)
Similar Items
-
Large Scale Multi-GPU Based Parallel Traffic Simulation for Accelerated Traffic Assignment and Propagation
by: Jiang, Xuan, et al.
Published: (2024) -
Large-scale Neural Network Quantum States for ab initio Quantum Chemistry Simulations on Fugaku
by: Xu, Hongtao, et al.
Published: (2025) -
Pro-Prophet: A Systematic Load Balancing Method for Efficient Parallel Training of Large-scale MoE Models
by: Wang, Wei, et al.
Published: (2024) -
FLAME: A Serving System Optimized for Large-Scale Generative Recommendation with Efficiency
by: Guo, Xianwen, et al.
Published: (2025) -
PALM: A Efficient Performance Simulator for Tiled Accelerators with Large-scale Model Training
by: Fang, Jiahao, et al.
Published: (2024)