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Scheduling

Project or Job Scheduling

Papers

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Showing 1701–1750 of 3104 papers

TitleStatusHype
Study of BSM Inter-Packet Gap Tails in C-V2X Networks—0
Study on the Large Batch Size Training of Neural Networks Based on the Second Order Gradient—0
Subgraph Extraction-based Feedback-guided Iterative Scheduling for HLS—0
Submodular Function Maximization for Group Elevator Scheduling—0
Sum Throughput Maximization in Multi-BD Symbiotic Radio NOMA Network Assisted by Active-STAR-RIS—0
SuperNeurons: Dynamic GPU Memory Management for Training Deep Neural Networks—0
SuperScaler: Supporting Flexible DNN Parallelization via a Unified Abstraction—0
SuperServe: Fine-Grained Inference Serving for Unpredictable Workloads—0
Supervised-learning-based Optimal Thermal Management in an Electric Vehicle—0
Surgical Scheduling via Optimization and Machine Learning with Long-Tailed Data—0
SURREAL-System: Fully-Integrated Stack for Distributed Deep Reinforcement Learning—0
Survey of Distributed Algorithms for Resource Allocation over Multi-Agent Systems—0
Survey on Multi-Agent Q-Learning frameworks for resource management in wireless sensor network—0
Sustainable AIGC Workload Scheduling of Geo-Distributed Data Centers: A Multi-Agent Reinforcement Learning Approach—0
Sustainable Carbon-Aware and Water-Efficient LLM Scheduling in Geo-Distributed Cloud Datacenters—0
SwapNet: Efficient Swapping for DNN Inference on Edge AI Devices Beyond the Memory Budget—0
SWIPT in Mixed Near- and Far-Field Channels: Joint Beam Scheduling and Power Allocation—0
SWIS -- Shared Weight bIt Sparsity for Efficient Neural Network Acceleration—0
Switched Max-Plus Linear-Dual Inequalities: Application in Scheduling of Multi-Product Processing Networks—0
Symmetry-Preserving Architecture for Multi-NUMA Environments (SPANE): A Deep Reinforcement Learning Approach for Dynamic VM Scheduling—0
Symphony: Optimized DNN Model Serving using Deferred Batch Scheduling—0
Synergy: Resource Sensitive DNN Scheduling in Multi-Tenant Clusters—0
System-Agnostic Meta-Learning for MDP-based Dynamic Scheduling via Descriptive Policy—0
Tabular and Deep Reinforcement Learning for Gittins Index—0
Tackling the Dynamicity in a Production LLM Serving System with SOTA Optimizations via Hybrid Prefill/Decode/Verify Scheduling on Efficient Meta-kernels—0
Tackling Variabilities in Autonomous Driving—0
Tailored Learning-Based Scheduling for Kubernetes-Oriented Edge-Cloud System—0
TAPAS: Thermal- and Power-Aware Scheduling for LLM Inference in Cloud Platforms—0
Target Entropy Annealing for Discrete Soft Actor-Critic—0
Task Graph offloading via Deep Reinforcement Learning in Mobile Edge Computing—0
Task modules Partitioning, Scheduling and Floorplanning for Partially Dynamically Reconfigurable Systems Based on Modern Heterogeneous FPGAs—0
Task-oriented Scheduling for Networked Control Systems: An Age of Information-Aware Implementation on Software-defined Radios—0
Task-Oriented Wireless Communications for Collaborative Perception in Intelligent Unmanned Systems—0
Task Runtime Prediction in Scientific Workflows Using an Online Incremental Learning Approach—0
Task scheduling system for UAV operations in indoor environment—0
TDMA in Adaptive Resonant Beam Charging for IoT Devices—0
Teacher-Student Learning based Low Complexity Relay Selection in Wireless Powered Communications—0
Teaching Multiple Concepts to a Forgetful Learner—0
Team Formation for Scheduling Educational Material in Massive Online Classes—0
Technology prediction of a 3D model using Neural Network—0
TeleEval-OS: Performance evaluations of large language models for operations scheduling—0
Tempo: Application-aware LLM Serving with Mixed SLO Requirements—0
Temporal-Difference Value Estimation via Uncertainty-Guided Soft Updates—0
TENSILE: A Tensor granularity dynamic GPU memory scheduling method toward multiple dynamic workloads system—0
TensorTEE: Unifying Heterogeneous TEE Granularity for Efficient Secure Collaborative Tensor Computing—0
TFDPM: Attack detection for cyber-physical systems with diffusion probabilistic models—0
TgDLF2.0: Theory-guided deep-learning for electrical load forecasting via Transformer and transfer learning—0
The behavioral approach for LPV data-driven representations—0
The Case for Developing a Foundation Model for Planning-like Tasks from Scratch—0
The Contextual Appointment Scheduling Problem—0
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