Copertina

Optimizing video analytics inference pipelines: a case study

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Ghafouri, Saeid, Ding, Yuming, Chito, Katerine Diaz, del Rincón, Jesús Martinez, O'Connell, Niamh, Vandierendonck, Hans
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Distributed, Parallel, and Cluster Computing Artificial Intelligence Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

QPART: Adaptive Model Quantization and Dynamic Workload Balancing for Accuracy-aware Edge Inference
di: Li, Xiangchen, et al.
Pubblicazione: (2025)

Sponge: Inference Serving with Dynamic SLOs Using In-Place Vertical Scaling
di: Razavi, Kamran, et al.
Pubblicazione: (2024)

TOD: Transprecise Object Detection to Maximise Real-Time Accuracy on the Edge
di: Lee, JunKyu, et al.
Pubblicazione: (2021)

On Optimizing Locality of Graph Transposition on Modern Architectures
di: Esfahani, Mohsen Koohi, et al.
Pubblicazione: (2025)

An approach to provide serverless scientific pipelines within the context of SKA
di: Ríos-Monje, Carlos, et al.
Pubblicazione: (2023)

Optimal, Non-pipelined Reduce-scatter and Allreduce Algorithms
di: Träff, Jesper Larsson
Pubblicazione: (2024)

TIMBER: On supporting data pipelines in Mobile Cloud Environments
di: Tomaras, Dimitrios, et al.
Pubblicazione: (2024)

Performance Cost Tradeoffs in Intelligent Load Balancing for Multi Data Center Cloud Systems: From Static Policies to Adaptive Resource Distribution
di: Najafabadi, Saeid Aghasoleymani, et al.
Pubblicazione: (2025)

Workflow as a Service Broker in Cloud Environment: A Systematic Mapping Study
di: Abrishami, Saeid, et al.
Pubblicazione: (2025)

Optimizing Communication in Byzantine Agreement Protocols with Slim-HBBFT
di: Sony, Nasit S, et al.
Pubblicazione: (2025)

Slim-ABC: An Optimized Atomic Broadcast Protocol
di: Sony, Nasit S, et al.
Pubblicazione: (2024)

IPA: Inference Pipeline Adaptation to Achieve High Accuracy and Cost-Efficiency
di: Ghafouri, Saeid, et al.
Pubblicazione: (2023)

Multi-modal video data-pipelines for machine learning with minimal human supervision
di: Pîrvu, Mihai-Cristian, et al.
Pubblicazione: (2025)

Radar DataTree: A FAIR and Cloud-Native Framework for Scalable Weather Radar Archives
di: Ladino-Rincon, Alfonso, et al.
Pubblicazione: (2025)

Optimization-based Proof of Useful Work: Framework, Modeling, and Security Analysis
di: Cao, Weihang, et al.
Pubblicazione: (2024)

Cronus: Efficient LLM inference on Heterogeneous GPU Clusters via Partially Disaggregated Prefill
di: Liu, Yunzhao, et al.
Pubblicazione: (2025)

inference-fleet-sim: A Queueing-Theory-Grounded Fleet Capacity Planner for LLM Inference
di: Chen, Huamin, et al.
Pubblicazione: (2026)

CoCoDiff: Optimizing Collective Communications for Distributed Diffusion Transformer Inference Under Ulysses Sequence Parallelism
di: Ma, Bin, et al.
Pubblicazione: (2026)

Leveraging knowledge-as-a-service (KaaS) for QoS-aware resource management in multi-user video transcoding
di: Costero, Luis, et al.
Pubblicazione: (2024)

Analysis and Optimization of Wireless Multimodal Federated Learning on Modal Heterogeneity
di: Han, Xuefeng, et al.
Pubblicazione: (2025)

An MLIR pipeline for offloading Fortran to FPGAs via OpenMP
di: Rodriguez-Canal, Gabriel, et al.
Pubblicazione: (2025)

Propius: A Platform for Collaborative Machine Learning across the Edge and the Cloud
di: Ding, Eric
Pubblicazione: (2025)

Unleashing Efficient Asynchronous RL Post-Training via Staleness-Constrained Rollout Coordination
di: Li, Haoyang, et al.
Pubblicazione: (2026)

Lower Bounds for $k$-Set Agreement in Fault-Prone Networks
di: Fraigniaud, Pierre, et al.
Pubblicazione: (2025)

Enhancing reliability in AI inference services: An empirical study on real production incidents
di: Ranganathan, Bhala, et al.
Pubblicazione: (2025)

Prioritized-MVBA: A New Approach to Design an Optimal Asynchronous Byzantine Agreement Protocol
di: Sony, Nasit S, et al.
Pubblicazione: (2024)

Scalable Distributed Vector Search via Accuracy Preserving Index Construction
di: Xu, Yuming, et al.
Pubblicazione: (2025)

COHORT: Hybrid RL for Collaborative Large DNN Inference on Multi-Robot Systems Under Real-Time Constraints
di: Anwar, Mohammad Saeid, et al.
Pubblicazione: (2026)

Stream-K Optimization and Exploration
di: Rackley, Nick, et al.
Pubblicazione: (2024)

Optimization of Hybrid Quantum-Classical Algorithms
di: Remme, Lian, et al.
Pubblicazione: (2025)

Datacenter Energy Optimized Power Profiles
di: Narayanaswamy, Sreedhar, et al.
Pubblicazione: (2025)

Optimizing sDTW for AMD GPUs
di: Latta-Lin, Daniel, et al.
Pubblicazione: (2024)

Research on the efficiency of data loading and storage in Data Lakehouse architectures for the formation of analytical data systems
di: Borodii, Ivan, et al.
Pubblicazione: (2026)

Privacy in Federated Learning with Spiking Neural Networks
di: Aksu, Dogukan, et al.
Pubblicazione: (2025)

Lotus: Optimizing Disaggregated Transactions with Disaggregated Locks
di: Hu, Zhisheng, et al.
Pubblicazione: (2025)

Parallelized Multi-Agent Bayesian Optimization in Lava
di: Snyder, Shay, et al.
Pubblicazione: (2024)

Optimizing Bloom Filters for Modern GPU Architectures
di: Jünger, Daniel, et al.
Pubblicazione: (2025)

Byzantine Fault-Tolerant Min-Max Optimization
di: Liu, Shuo, et al.
Pubblicazione: (2022)

Approximate Byzantine Fault-Tolerance in Distributed Optimization
di: Liu, Shuo, et al.
Pubblicazione: (2021)

Distributed Inference Performance Optimization for LLMs on CPUs
di: He, Pujiang, et al.
Pubblicazione: (2024)