A focused digest of distributed computing, cloud-native infrastructure, and engineering research from authoritative sources.
arXiv:2609.11944v1 Announce Type: new Abstract: Exact multi-objective shortest-path (MOSP) search computes the complete Pareto set between specified start and goal vertices, and its computational cost can grow rapidly with expanding nondominated label sets and frequent dominance tests over per-vertex Pareto frontiers…
Read at sourcearXiv:2609.11946v1 Announce Type: new Abstract: Hyperion is an innovative high-performance computing (HPC) cluster developed for researchers in both science and humanities disciplines at the University of South Carolina (USC). Our approach involved constructing a HPC cluster designed to meet the current research needs…
Read at sourcearXiv:2609.12075v1 Announce Type: new Abstract: Vision-Language-Action (VLA) models show high robotic manipulation capabilities via a two-stage design: a Vision-Language Model (VLM) stage followed by an Action Diffusion Transformer (ADiT) stage. Since robots must meet strict Service-Level Objectives (SLOs) for safety…
Read at sourcearXiv:2609.12091v1 Announce Type: new Abstract: NEAR Protocol's Nightshade architecture targets one million transactions per second (TPS) through horizontal sharding of both state and computation. Published benchmarks were produced on expensive Google Cloud Platform infrastructure costing approximately \$700 per hour…
Read at sourcearXiv:2609.12143v1 Announce Type: new Abstract: Artificial intelligence increasingly relies on large-scale, distributed, and heterogeneous data collected by edge devices. However, the practice of edge intelligence remains challenging due to non-convex objectives, data heterogeneity, and complex wireless network topolo…
Read at sourcearXiv:2609.12239v1 Announce Type: new Abstract: This paper presents a precise executable specification---as a faithful mapping from the pseudocode---of Paxos for System Builders, a practical protocol for replication and consensus in distributed systems. Paxos for System Builders has both a robust implementation in C a…
Read at sourcearXiv:2609.12299v1 Announce Type: new Abstract: GPU developers and automated optimizers need performance evidence for semantic code regions--such as neural-network operator implementations and pipeline stages--but this evidence is fragmented across profiling tools. Answering a region-level question can require manuall…
Read at sourcearXiv:2609.12330v1 Announce Type: new Abstract: Efficient GPU implementations of tensor programs often require joint optimization of high-level algebraic formulations and low-level execution strategies. However, the resulting search space grows rapidly as transformations combine across operators, making joint optimiza…
Read at sourcearXiv:2609.12379v1 Announce Type: new Abstract: Auto-regressive model decode is bandwidth-bound, since every weight and key/value-cache byte crosses high-bandwidth memory once per token. A megakernel is an ideal solution, but existing automatic megakernel generation approaches cannot achieve both generalization across…
Read at sourcearXiv:2609.12412v1 Announce Type: new Abstract: Foundation models, including large language models, vision-language models, and time-series foundation models, are increasingly deployed on embedded and edge platforms for CPS and IoT applications, where energy, latency, and memory are as critical as task accuracy. Exist…
Read at sourcearXiv:2609.12449v1 Announce Type: new Abstract: LLM inference is increasingly deployed at institution-scale edges to meet service requirements. However, multi-GPU inference consumes a large amount of electricity and produces substantial heat. To improve sustainability, operators and regulations often demand raising th…
Read at sourcearXiv:2609.12551v1 Announce Type: new Abstract: AI is beginning to make substantive contributions to LLM inference optimization. Existing AI optimizations are predominantly profiling-based. Profiling-bound feedback confines the search to the capabilities and performance of an existing software stack, preventing a fund…
Read at sourcearXiv:2609.12602v1 Announce Type: new Abstract: The rapid growth of data center electricity demand, accelerated by AI, makes carbon-only accounting an incomplete measure of computing's environmental impact: low-carbon electricity mixes are often water-intensive, and the resulting harm depends on local, seasonal scarci…
Read at sourcearXiv:2609.12975v1 Announce Type: new Abstract: Distributed Stream Processing applications at the edge must reconcile low latency and high throughput with limited and heterogeneous resources. This paper presents a dynamic vertical scaling strategy based on Proximal Policy Optimization, formulated as a Partially Observ…
Read at sourcearXiv:2609.11932v1 Announce Type: cross Abstract: Cloud-centric web benchmarks miss constraints that matter for self-hosted services on ARM64 single-board computers, especially idle RAM footprint and energy per request. We ran a pilot benchmark on one Raspberry Pi 5, measuring equivalent SQLite-backed CRUD APIs implem…
Read at sourcearXiv:2609.11936v1 Announce Type: cross Abstract: Energy supply and heat dissipation are two of the main challenges with modern GPU deployments. While typically discussed in the context of new datacenter constructions, the same constraints also apply to small form-factor consumer devices, such as the DGX spark. In wor…
Read at sourcearXiv:2609.11937v1 Announce Type: cross Abstract: The deployment of Federated Learning (FL) in multi-center clinical networks faces the challenge of "knowledge dominance," where high-volume hubs naturally overwhelm minority community nodes, implicitly treating the distinct clinical patterns of smaller cohorts as outli…
Read at sourcearXiv:2609.11938v1 Announce Type: cross Abstract: Framework profilers expose operator timing without hardware counters; GPU profilers expose hardware counters without operator attribution. Bridging this gap manually is error-prone and does not scale. We present Operator Profiler, a hardware attribution pipeline that a…
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