Buch, Englisch, 840 Seiten, Format (B × H): 155 mm x 235 mm
22nd IFIP WG 10.3 International Conference, NPC 2026, Bali, Indonesia, December 11–13, 2026, Proceedings
Buch, Englisch, 840 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-032-46904-5
Verlag: Springer
This volume constitutes the proceedings of the 22nd IFIP WG 10.3 International Conference on Network and Parallel Computing, NPC 2026, which was held in Bali, Indonesia, during December 11–13, 2026.
The 70 full papers included in this volume were carefully reviewed and selected from 138 submissions. Topics of interest include, but are not limited to, parallel and distributed applications and algorithms, parallel and distributed architectures and systems, and parallel and distributed software environments and tools.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
.- SchedAgent: Useful-Readiness Scheduling for LLM Agent Workflows.
.- RHRS: Fine-Grained Batch Scheduling for Programmable LLM Inference Systems.
.- QB64: Unified Low-Bit Execution for High-Throughput LLM Inference on MT-3000.
.- Efficient Large-Scale Temporal Graph Computing on the GPU.
.- OmniPipe: Adaptive Pipeline Parallelism Scheduling for Efficient Large Language Model Training.
.- TEE-Assisted State-Transition Auditing for Control-Plane Integrity of Black-Box DNN Fingerprint Generation.
.- Dependency-aware Task Scheduling in Collaborative Edge Computing through Reverse Auction.
.- CISelect: Custom Instruction Selection via Multi-Level Cost Modeling Guided by Minimum Description Length.
.- Regime-Aware Dynamic Pricing for Token-Budgeted LMaaS.
.- Parallel Optimization of Sparse Matrix LU Factorization on GPU.
.- Residual Low-Rank Hadamard Reparameterization for Heterogeneous Federated Learning.
.- UNISON: User-Intent and Network-State Orchestrated Framework for 6G Distributed Core Networks.
.- Efficient Wi-Fi CSI-Based Trajectory Tracking on Resource-Constrained Embedded Devices.
.- ASTran: Architecture-Aware Sparse Transformer Inference with Operator Fusion on Ascend NPUs.
.- Bandwidth-Aware Data Placement Routing for Software-Defined Edge Networks.
.- Verifier-Gated LLM Heuristic Evolution for Online Edge-Cluster Scheduling.
.- Accelerating Critical Path Analysis of Large-Scale HPC Traces via Communication Affinity-Aware Scheduling.
.- Beyond Compression Ratio: High-Throughput KV Compression for Disaggregated LLM Serving.
.- CoPrune: Turning Compute Budgets into Deployable Models for TEE-GPU Collaborative Inference.
.- Deploying Terminal LLM Agents on Embedded Edge Devices: Measuring and Mitigating the Agent Scaffold Tax.
.- VineGraph: Parallel and Storage-Efficient Approximate Nearest Neighbor Search via Pre-Navigation Graph.
.- FP4Quant: Efficient 4-Bit Communication Compression for Model-Parallel LLM Training.
.- SemiFE: Resource-Efficient Federated Semi-supervised Learning via Soft Knowledge Aggregation for Heterogeneous Edge Systems.
.- Similarity-Aware Client-Side Reordering for Server-Side Storage Compression in Distributed File Systems.
.- TAISM: A Programming-Model Abstraction for Heterogeneous Trusted Execution Environments.
.- Distributed Multi-Variant Model Placement in Edge Computing: A Game-Theoretic Framework.
.- ST4TE: Selective Synchronization of In-Network Virtual IP Address Caching in Cloud Networks.
.- Parallel Optimization of a Guiding-Center Orbit Simulation Code for Tokamak Plasmas on the Sunway Bluelight II Supercomputer.
.- CA-FEC: Balancing Recovery and Overhead via Context-Aware FEC for Cloud Gaming.
.- Exploiting Profile-Guided Multi-Agent Optimization Workflow for Value-Related Inefficiencies.
.- Azimuth: LLM-Guided Superoptimization with Semantic Search Priors.
.- TetrisServe: Towards Efficient Serving of Agentic LLM Workflows with Demand-Aware Routing.
.- C2-TCCL: Computation–Communication Co-Optimized Path Selection over Heterogeneous Interconnects.
.- PhotonZip: Lifecycle-Aware Compression for HDF5-Based Synchrotron Workflows.
.- An Architecture-Aware Methodology for Optimizing Stencil-Based Applications on the LineShine Supercomputer.
.- RegionZ: Online Reinforcement Learning for Adaptive Multi-page ZRAM Compression in Mobile Devices.
.- MagBound: Relational Legality for Slot-Sanitization Masks in FHE Compilers for Packed CKKS.
.- PEFTS: Multi-Tenant PEFT Serving.
.- NPLB: High-Capacity Stateful Load Balancing on a Novel Programmable Network Processor.
.- ENO-FS: First-Open Native Materialization for On-Demand Container Image Access.
.- FastController: A Control Policy Based on Validated Profiles for Python Accelerator Process Configuration.
.- ParallelPack: Shape-Aware Placement of Automatically Parallelized LLM Training Jobs in Shared GPU Clusters.
.- Remaining-Work-Aware Dynamic Scheduling for Multi-GPU PBR Diffusion Inference.
.- Implementing and Provisioning Disaggregated Ultra-Large MoE Serving on Ascend.
.- DDQFM: Accelerating Flow Matching Inference with Differential-based Dynamic Quantization.
.- NCGCN: A Neighborhood Cross-shaped GCN for Mitigating Feature Redundancy in Multi-DNN Offloading for Vehicular Edge Computing.
.- SparQuant: Efficient Sparse NVFP4 Inference for Transformer Classifiers.
.- MPSDNet: A Lightweight RGB-Infrared UAV Object Detection Network With Multi-Domain Feature Enhancement and Occlusion Aware Fusion.
.- SICA: A Shared Instruction Cache Architecture for Scale-Out Processors.
.- Mapping the Fidelity–Latency Frontier of Heterogeneous Mixture-of Experts Inference.
.- Aurum: Cost-Efficient MoE Training in Heterogeneous GPU Cloud.
.- TensorBLAS: A BLAS3 Library Optimized for Tensor Cores.
.- Hydra: Transparent Replacement of a Failed GPU with Heterogeneous Idle GPUs in Distributed Training.
.- TPBench: A Self-Contained Framework for Unified and Traceable Micro-Benchmarking.
.- Accelerating Diffusion-Based Crystal Generation through Efficient Speculative Sampling.
.- AttrPlace: Attribute-Driven Expert Placement for Efficient MoE Inference in Database Analytics.
.- opEng: Operator-Level Energy Profiling for LLM Inference.
.- Q-Shard: Efficient Quantum Circuit Cutting via Prefix-Sharing Search and Resource-Aware Circuit Partition in DQC Environment.
.- GraphPortfolio: Budgeted Compression of Full and Piecewise CUDA Graphs.
.- ARC-KV: Adaptive KV Cache Reuse via Cross-Document Attention Recovery for RAG.
.- Accelerating Convolution Operators for Mixed-Precision CNN Training on LineShine Supercomputer.
.- ORBIT: Predictive Scheduling of In-Network Aggregation Resources for Multi-Tenant Training.
.- Toward Highly Efficient Intersection and Minimum-Distance Analysis for Geometric Modeling on ARM.
.- FALCON: Exploring Asynchronous Acceleration for Large Language Model Training on Heterogeneous GPU-CPU Systems.
.- CohereKV: KV Cache Merging with Group Compactness for Efficient LLM Inference.
.- Gemini: Efficient Dynamic Graph Pattern Mining on Real-World GPU–PIM Heterogeneous Platforms.
.- CueEdge: Edge-Local Soft Avoidance for Heterogeneous Cloud-Edge Scheduling.
.- CodeTrustEval: Trustworthy Performance Evaluation for AI-Generated Code.
.- Elbow-Heuristic-Guided Adaptive Weighted KNN Method for Visible Light Positioning.
.- AgentServer: Decoupling Agent Loops, Tools, and Session State for Managed AI Agents.
