A focused digest of distributed computing, cloud-native infrastructure, and engineering research from authoritative sources.
arXiv:2609.13170v1 Announce Type: new Abstract: Blockchain-enabled Federated Learning (FL) marketplaces enable collaborative model training among mutually distrustful participants through smart contracts. Although numerous architectures exist, their economic evaluation is typically limited to isolated blockchain opera…
Read at sourcearXiv:2609.13537v1 Announce Type: new Abstract: Long-running multi-turn requests accumulate reusable key-value (KV) state. Once this state exceeds a fixed GPU KV-cache allocation, serving systems evict reusable prefixes, repeat prefill work, and may preempt requests. This pressure is particularly acute for Mixture-of…
Read at sourcearXiv:2609.13544v1 Announce Type: new Abstract: Deep neural networks (DNNs) are widely adopted in various fields, driving an emerging trend in developing software stacks associated with DNN training systems. For example, many codes have been ported across different frameworks or developed to leverage the computing pow…
Read at sourcearXiv:2609.13555v1 Announce Type: new Abstract: Git is most commonly known as a decentralized version control system. Underneath the surface, the design of Git exhibits an elegant object model and incremental replication protocols that have been used to build a variety of applications that go much beyond version contr…
Read at sourcearXiv:2609.13571v1 Announce Type: new Abstract: Operators and developers need a mental model of both the structure and the live behavior of a large supercomputer, but its physical layout, logical organization, and streams of per-node telemetry are difficult to relate to one another, making it hard to trace a metric or…
Read at sourcearXiv:2609.13585v1 Announce Type: new Abstract: Communication has become a bottleneck in distributed training and inference of large models. Overlapping communication with computation at the granularity of kernels, on separate streams, reduces only part of this communication cost. Fused kernels often have better perfo…
Read at sourcearXiv:2609.13592v1 Announce Type: new Abstract: GPU memory bandwidth and capacity limit throughput in large language model (LLM) inference. The GPU memory system consists of a primary tier of high-bandwidth memory (HBM) and a secondary tier of host memory connected via CPU-to-GPU interconnect. Current serving systems…
Read at sourcearXiv:2609.14036v1 Announce Type: new Abstract: Fresh fruits and vegetables (FFVs) are highly perishable, and cold-chain breaks contribute significantly to global food waste. While Machine Learning (ML) can enable proactive intervention, cloud-based inference faces challenges such as latency and data loss. Fog computi…
Read at sourcearXiv:2609.14040v1 Announce Type: new Abstract: We present PyXtrim, a system that reduces the cold-start latency of serverless applications through debloating. We focus on Python, a dominant language for serverless applications whose dynamic features and extensive use of native extensions make traditional static deblo…
Read at sourcearXiv:2609.14117v1 Announce Type: new Abstract: Cloud computing has emerged as an information technology solution, providing software and infrastructure solutions for companies and individuals. The pay-as-you-go approach has increased demands for the cloud. The massive range of resources, the variety of services, and…
Read at sourcearXiv:2609.14211v1 Announce Type: new Abstract: Scientific applications increasingly rely on high-performance computing (HPC), yet translating a scientist's high-level goal into a correct target-scale execution remains brittle and labor-intensive. Large language model (LLM) agents promise to automate this, but two obs…
Read at sourcearXiv:2609.14213v1 Announce Type: new Abstract: Modern mobile inference runs on heterogeneous platforms combining mobile GPUs with multiple CPU core clusters. Existing optimizations typically exploit either inter-operator parallelism, by assigning entire operators to CPU cores or to the GPU, or intra-operator parallel…
Read at sourcearXiv:2609.14237v1 Announce Type: new Abstract: LLM serving systems increasingly disaggregate inference into finer-grained stages, with recent approaches separating attention from FFN or MoE execution during decode. This operator-level disaggregated serving (ODS) can improve hardware matching and enable independent sc…
Read at sourcearXiv:2609.14246v1 Announce Type: new Abstract: In wireless federated learning (FL), data heterogeneity and multiple local updates induce client drift, degrading model convergence. It is further affected by unreliable wireless links, as transmission errors may invalidate model updates. To address these challenges, we…
Read at sourcearXiv:2609.14306v1 Announce Type: new Abstract: Training a Mixture-of-Experts (MoE) model at long context or large batch size fails as soon as any one component's peak allocation exceeds device memory, so the target is every peak at once, not the average footprint. Four are left unbounded by the parallelism plans in c…
Read at sourcearXiv:2609.14356v1 Announce Type: new Abstract: We study exploration of anonymous, port-free graphs by a single agent with no internal memory. To compensate for the lack of memory, the agent uses writable vertex colors as external memory. From every starting vertex, the agent must visit all vertices, return to its sta…
Read at sourcearXiv:2609.14507v1 Announce Type: new Abstract: Single-GPU long-context inference with Mixture-of-Experts (MoE) models requires spilling the key-value cache (KVCache) to CPU memory. The spilled KV serves two complementary purposes---transferring to the GPU for attention computation, or computing in-place on the CPU…
Read at sourcearXiv:2609.14640v1 Announce Type: new Abstract: PaxosLease is a protocol by which a quorum of acceptors grants time-bounded exclusive ownership with no durable acceptor lease state and no disk write on the lease acquisition path. This paper gives a precise, machine-checked statement of the protocol and of its standard…
Read at source