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OpenG2G: A Simulation Platform for AI Datacenter-Grid Runtime Coordination
Published in ArXiv cs.DC Recent Papers (2026)Subjects: “…ArXiv cs.DC Recent Papers…”
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Nitsum: Serving Tiered LLM Requests with Adaptive Tensor Parallelism
Published in ArXiv cs.DC Recent Papers (2026)Subjects: “…ArXiv cs.DC Recent Papers…”
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Dooly: Configuration-Agnostic, Redundancy-Aware Profiling for LLM Inference Simulation
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FLAM: Evaluating Model Performance with Aggregatable Measures in Federated Learning
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mathsf{VISTA}: Decentralized Machine Learning in Adversary Dominated Environments
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Accelerating Precise End-to-End Simulation: Latency-Sensitive Many-core System Modeling
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A Scalable Recipe on SuperMUC-NG Phase 2: Efficient Large-Scale Training of Language Models
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HexiSeq: Accommodating Long Context Training of LLMs over Heterogeneous Hardware
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Deadline-Driven Hierarchical Agentic Resource Sharing for AI Services and RAN Functions in AI-RAN
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RcLLM: Accelerating Generative Recommendation via Beyond-Prefix KV Caching
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MERBIT: A GPU-Based SpMV Method for Iterative Workloads
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SparseRL-Sync: Lossless Weight Synchronization with ~100x Less Communication
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TREA: Low-precision Time-Multiplexed, Resource-Efficient Edge Accelerator for Object Detection and Classification
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Resource-Element Energy Difference for Noncoherent Over-the-Air Federated Learning
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FATE: Future-State-Aware Scheduling for Heterogeneous LLM Workflows
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On Similarity of Computational Kernels in our Codes and Proxies
Published in ArXiv cs.DC Recent Papers (2026)Subjects: “…ArXiv cs.DC Recent Papers…”
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Regulating Branch Parallelism in LLM Serving
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Closer in the Gap: Towards Portable Performance on RISC-V Vector Processors
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An Uncertainty-Aware Resilience Micro-Agent for Causal Observability in the Computing Continuum
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Surviving Partial Rank Failures in Wide Expert-Parallel MoE Inference
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