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Affinity Tailor: Dynamic Locality-Aware Scheduling at Scale
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AnTi-MiCS: Analytical Framework for Bounding Time in Embedded Mixed-Criticality Systems
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AI Inference as Relocatable Electricity Demand: A Latency-Constrained Energy-Geography Framework
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ZipCCL: Efficient Lossless Data Compression of Communication Collectives for Accelerating LLM Training
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Focus Session: Autonomous Systems Dependability in the era of AI: Design Challenges in Safety, Security, Reliability and Certification
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Monadic Presburger Predicates have Robust Population Protocols
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Back to the Future: Rethinking Endorsement in Order-Execute Blockchains
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A Study on the Performance of Distributed Training of Data-driven CFD Simulations
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Towards the Democratization and Standardization of Dynamic Resources with MPI Spawning
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Real-Time GPU-Accelerated Monte Carlo Evaluation of Safety-Critical AEB Systems Under Uncertainty
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End-to-End and Phase-Level Performance Optimization for Hyperledger Fabric
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AutoSP: Unlocking Long-Context LLM Training Via Compiler-Based Sequence Parallelism
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Efficient Training on Multiple Consumer GPUs with RoundPipe
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Adaptive Self-Organization in Anonymous Dynamic Networks
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FaaSMoE: A Serverless Framework for Multi-Tenant Mixture-of-Experts Serving
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A Test Taxonomy and Continuous Integration Ecosystem for Dynamic Resource Management in HPC
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Exploring the Efficiency of 3D-Stacked AI Chip Architecture for LLM Inference with Voxel
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A Semantic Quantum Circuit Cache for Scalable and Distributed Quantum-Classical Workflows
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Index-Assisted Stratified Sampling for Online Aggregation
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Tailwind: A Practical Framework for Query Accelerators
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