distributed

Documents about distributed

• 25 U.S.C. § 135 — Supplies distributed so as to prevent deficiencies#583494US Code (LII)
• 42 U.S.C. § 19222 — National research and development strategy for distributed ledger technology#588297US Code (LII)
• 42 U.S.C. § 16211 — Distributed energy and electric energy systems#589035US Code (LII)
• 42 U.S.C. § 16214 — Distributed energy technology demonstration programs#589038US Code (LII)
• 42 U.S.C. § 4905 — Noise emission standards for products distributed in commerce#592089US Code (LII)
• 44 U.S.C. § 1701 — Publications for public distribution to be distributed by the Director of the Government Publishing Office; mailing lists#597210US Code (LII)
• 47 U.S.C. § 231 — Restriction of access by minors to materials commercially distributed by means of World Wide Web that are harmful to minors#598057US Code (LII)
• ECMA-417 — Architecture for a distributed real-time access system (August 2021)#600213ECMA International
• ECMA-412 — Framework for distributed real-time access systems (June 2019)#600218ECMA International
• A Heavy-Load-Enhanced and Changeable-Periodicity-Perceived Workload Prediction Network#139055arXiv (OAI)
• Cache Your Prompt When It's Green: Carbon-Aware Caching for Large Language Model Serving#139171arXiv (OAI)
• PICO: Performance Insights for Collective Operations#139232arXiv (OAI)
• Circuit Folding: Scalable and Graph-Based Circuit Cutting via Modular Structure Exploitation#141685arXiv (OAI)
• SpecBranch: Speculative Decoding via Hybrid Drafting and Rollback-Aware Branch Parallelism#141752arXiv (OAI)
• Global optimization tailored for graphics processing units: Complete and rigorous search for large-scale nonlinear minimization#141775arXiv (OAI)
• Moser-Tardos Algorithm with small number of random bits#163962arXiv (OAI Expanded)
• Cloud Broker: A Systematic Mapping Study#179229arXiv (OAI Expanded)
• A new open source framework for multiscale modeling of fibrous materials on heterogeneous supercomputers#189117arXiv (OAI Expanded)
• The Energy Blind Spot: NVIDIA's Flagship Edge AI Hardware Cannot Support Process-Level Energy Attribution#608887arXiv (OAI Expanded)
• Effect of Abstractions and Prompting Strategies on LLM-Guided High-Performance Optimizations#608969arXiv (OAI Expanded)
• The benefits and challenges of explicit memory management in OpenMP Target GPU offloading#608995arXiv (OAI Expanded)
• Discovering KV Cache Eviction Policies via LLM-Guided Program Evolution#608996arXiv (OAI Expanded)
• Orbital AI Computing: Carbon Tradeoffs Across Satellite Scale#608998arXiv (OAI Expanded)
• Agentic Kernel Optimization: Generating State-of-the-Art GPU Kernels Without Hand-Written CUDA#609001arXiv (OAI Expanded)
• A Biophysically-Inspired Feedback Controller for Multi-Class Cache Fairness#609002arXiv (OAI Expanded)
• The Uneasy Marriage of AI and Dependability: Integrating Taxonomy and Methods for Dependability and Accuracy Enhancement#609005arXiv (OAI Expanded)
• Efficient Block-Layer Parallel Inference for Vision-Language-Action on Hybrid Architectures#609026arXiv (OAI Expanded)
• Porting and Benchmarking Chapel on Emerging RISC-V Hardware: an HPC Viability Study#609223arXiv (OAI Expanded)
• Enabling Hybrid HPCQC Workflows with a Heterogeneous Software Stack#609249arXiv (OAI Expanded)
• Evaluating Agentic Code Repair Capabilities in Distributed Systems#609283arXiv (OAI Expanded)
• Rollplex: Cross-Phase GPU Spatial Sharing for Vision Language Model Post-Training#609659arXiv (All)
• Validating LLM-Modernized Scientific Software Through Differential Fault Injection#609684arXiv (All)
• Partial FC: Training 10 Million Identities on a Single Machine#609716arXiv (All)
• RevaMp3D: Architecting the Processor Core and Cache Hierarchy for Systems with Monolithically-Integrated Logic and Memory#609723arXiv (All)
• WWW: What, When, Where to Compute-in-Memory#609736arXiv (All)
• FDA-Opt: Federated Fine-Tuning via Dynamic Update Schedules#609785arXiv (All)
• SGEMM-cube: Precision-Recovery FP32 GEMM Approximation on Ascend NPUs with FP16 Matrix Engines#609805arXiv (All)
• RAPID-LLM: Resilience-Aware Performance analysis of Infrastructure for Distributed LLM Training and Inference#609852arXiv (All)
• The Energy Blind Spot: NVIDIA's Flagship Edge AI Hardware Cannot Support Process-Level Energy Attribution#609949arXiv (All)
• Effect of Abstractions and Prompting Strategies on LLM-Guided High-Performance Optimizations#610031arXiv (All)
• The benefits and challenges of explicit memory management in OpenMP Target GPU offloading#610057arXiv (All)
• Discovering KV Cache Eviction Policies via LLM-Guided Program Evolution#610058arXiv (All)
• Orbital AI Computing: Carbon Tradeoffs Across Satellite Scale#610060arXiv (All)
• Agentic Kernel Optimization: Generating State-of-the-Art GPU Kernels Without Hand-Written CUDA#610063arXiv (All)
• A Biophysically-Inspired Feedback Controller for Multi-Class Cache Fairness#610064arXiv (All)
• The Uneasy Marriage of AI and Dependability: Integrating Taxonomy and Methods for Dependability and Accuracy Enhancement#610067arXiv (All)
• Efficient Block-Layer Parallel Inference for Vision-Language-Action on Hybrid Architectures#610088arXiv (All)
• When Does Distributed AI Inference Need More Wide-Area Bandwidth? A Co-Design Evaluation of Optical, Packet, and Software Levers#610927arXiv (OAI Expanded)
• PAS-QFL: Personalized Ansatz Selection for Quantum Federated Learning under Client Data Heterogeneity#610954arXiv (OAI Expanded)
• When Does Distributed AI Inference Need More Wide-Area Bandwidth? A Co-Design Evaluation of Optical, Packet, and Software Levers#612404arXiv (All)

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