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Distributed & Parallel Computing
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507 papers, from 4 September 2026 to 5 November 2026: 507 arXiv preprints.
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Newest papers, page 19
Near-Optimal Distributed Domination in Planar Graphs
We give a deterministic $(8+\varepsilon)$-approximation for minimum dominating set on planar graphs in a constant number of rounds of the LOCAL model, for every $\varepsilon>0$.Agentic Network Traffic Monitoring
As the use of agentic artificial intelligence increases in nearly every industry, there exists a widening attack surface.Over-the-Air Federated Learning in Heterogeneous Mobile Wireless Networks
Over-the-air computation has emerged as a scalable and efficient solution for deploying federated learning algorithms in wireless networks by exploiting waveform superposition for simultaneous model…Packets, Transactions and Queues: Design Principles for HFT Systems from a Measurement Study of CME Market Data
HFT systems are conventionally built as a single-threaded event loop, on the rule that every thread hop adds latency.ASCEND: Personal AI Agents for Autonomous Scientific Computing Across HPC Clusters and GPU Workstations
Traditional scientific computing requires researchers to translate intent into environment configuration, resource requests, and executable jobs, then diagnose failures from scheduler state and logs.Werracle: Sub-Cent Intra-Block AI Reflex Oracles and Flash-Loan Circuit Breakers for EVM Smart Contracts
Contemporary on-chain artificial intelligence (AI) encounters an intractable Von Neumann memory and latency wall.Beyond the Last Truffula Tree: SustainAI - A Water-Aware, Closed-Loop Framework for Environmentally Accountable AI
As artificial intelligence (AI) becomes embedded in everyday life, its environmental footprint, particularly water consumption remains largely invisible.The KV Cache Is the New Memory Wall
Autoregressive LLM inference at long context is bounded by memory bandwidth, not arithmetic throughput, and the binding resource shifts from model weights to the Key-Value (KV) cache as sequence…Cross-Backend QIEO: Universal Runtime Portability across OpenMP5, CUDA, HIP, and Multi-Language Interfaces
Quantum-inspired algorithms emulate quantum mechanical principles, such as, superposition, interference, and probabilistic amplitude evolution, on classical hardware by representing candidate…DynBranch: Speculative Subgraph Reuse for Dynamic Agentic LLM Serving
Agentic LLM workflows decide their execution paths at runtime.Distributed Learning as a Service: The Developer's Perspective
Application developers of distributed learning services face challenges that a typical federated learning loop does not address.Momentum-Guided Federated Split Distillation for Personalized Temporal Edge Intelligence
We propose a momentum-guided federated split distillation framework for personalized, efficient, and autonomous temporal edge intelligence.Joule-Profiler: Profiling the Energy Consumption of Build Automation Tools Made Easy
Build pipelines are integral to modern software development, yet their energy footprint remains largely invisible to practitioners.Deterministic Regime Switching and Feasibility Inversion in Dynamic Tensor Rematerialization
We report fine-grained, deterministic instability in Dynamic Tensor Rematerialization (DTR), an online eviction policy for memory-constrained DNN training, measured on the reference DTR simulator…A Safety-Bounded SDC-to-MCP Gateway for Medical AI Agents
The Model Context Protocol (MCP) provides a common interface through which AI applications discover and use external resources and tools.Quantum-HPC Workflows Across Multiple Quantum Computing Platforms: Two Case Studies
We describe the Quantum-HPC hybrid system comprising the supercomputer Fugaku, the QPUs Quantinuum Reimei and ibm_kobe, and the Tierkreis hybrid workflow software.EAServe: Encode-Aware Disaggregated Serving for Multimodal Large Language Models
Disaggregating the two stages, Prefill and Decode, onto separate GPU pools is now a standard optimization for (text-only) LLM serving.Memory as Middleware for Self-Improving AI Agents
AI agents are stateless across sessions by default and therefore operationally amnesic: each session begins with little durable knowledge of prior failures, repairs, preferences, or successful…pytest-gpu-proof: Enabling Cloud-CPU Continuous Integration for GPU Code with Local GPU Attestation
GPU acceleration is now routine across robotics, but cloud-hosted GPU continuous integration (CI) runners are expensive, resulting in severe under-testing of GPU-accelerated code.When Fancy Eviction Fails: Rethinking Cache Replacement For LLM Prefix Reuse
Long-running LLM applications repeatedly send growing context, making prefix caching critical for reducing prefill cost.