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95 lines
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HTML
<!doctype html><html lang=en dir=auto data-theme=auto><head><meta charset=utf-8><meta http-equiv=X-UA-Compatible content="IE=edge"><meta name=viewport content="width=device-width,initial-scale=1,shrink-to-fit=no"><meta name=robots content="index, follow"><title>Digests | Publish Assistant</title><meta name=keywords content><meta name=description content="tl;drs for the top papers."><meta name=author content="Publish Assistant"><link rel=canonical href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/><link crossorigin=anonymous href=/vincent/publish-assistant/assets/css/stylesheet.d72f07832e13c592b3edba91680bfe70f01daac396179bcace0ac36e8e0494c6.css integrity="sha256-1y8Hgy4TxZKz7bqRaAv+cPAdqsOWF5vKzgrDbo4ElMY=" rel="preload stylesheet" as=style><link rel=icon href=https://pub.sqrt.fr/vincent/publish-assistant/favicon.ico><link rel=icon type=image/png sizes=16x16 href=https://pub.sqrt.fr/vincent/publish-assistant/favicon-16x16.png><link rel=icon type=image/png sizes=32x32 href=https://pub.sqrt.fr/vincent/publish-assistant/favicon-32x32.png><link rel=apple-touch-icon href=https://pub.sqrt.fr/vincent/publish-assistant/apple-touch-icon.png><link rel=mask-icon href=https://pub.sqrt.fr/vincent/publish-assistant/safari-pinned-tab.svg><meta name=theme-color content="#2e2e33"><meta name=msapplication-TileColor content="#2e2e33"><link rel=alternate type=application/rss+xml href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/index.xml title=rss><link rel=alternate hreflang=en href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/><noscript><style>#theme-toggle,.top-link{display:none}</style><style>@media(prefers-color-scheme:dark){:root{--theme:rgb(29, 30, 32);--entry:rgb(46, 46, 51);--primary:rgb(218, 218, 219);--secondary:rgb(155, 156, 157);--tertiary:rgb(65, 66, 68);--content:rgb(196, 196, 197);--code-block-bg:rgb(46, 46, 51);--code-bg:rgb(55, 56, 62);--border:rgb(51, 51, 51);color-scheme:dark}.list{background:var(--theme)}.toc{background:var(--entry)}}</style></noscript><script>localStorage.getItem("pref-theme")==="dark"?document.querySelector("html").dataset.theme="dark":localStorage.getItem("pref-theme")==="light"?document.querySelector("html").dataset.theme="light":window.matchMedia("(prefers-color-scheme: dark)").matches?document.querySelector("html").dataset.theme="dark":document.querySelector("html").dataset.theme="light"</script><meta property="og:url" content="https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/"><meta property="og:site_name" content="Publish Assistant"><meta property="og:title" content="Digests"><meta property="og:description" content="tl;drs for the top papers."><meta property="og:locale" content="en_us"><meta property="og:type" content="website"><meta name=twitter:card content="summary"><meta name=twitter:title content="Digests"><meta name=twitter:description content="tl;drs for the top papers."><script type=application/ld+json>{"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Edge and Cloud Systems","item":"https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/"},{"@type":"ListItem","position":2,"name":"Digests","item":"https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/"}]}</script></head><body class=list id=top><header class=header><nav class=header-nav><div class=logo><a href=https://pub.sqrt.fr/vincent/publish-assistant/ accesskey=h title="Publish Assistant (Alt + H)">Publish Assistant</a>
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<a class=logo-topic href=/vincent/publish-assistant/cloud-edge/ title="Edge and Cloud Systems">Edge and Cloud Systems</a><div class=logo-switches><button id=theme-toggle class=theme-toggle accesskey=t title="(Alt + T)" aria-label="Toggle theme">
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<svg class="sun" width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><circle cx="12" cy="12" r="5"/><line x1="12" y1="1" x2="12" y2="3"/><line x1="12" y1="21" x2="12" y2="23"/><line x1="4.22" y1="4.22" x2="5.64" y2="5.64"/><line x1="18.36" y1="18.36" x2="19.78" y2="19.78"/><line x1="1" y1="12" x2="3" y2="12"/><line x1="21" y1="12" x2="23" y2="12"/><line x1="4.22" y1="19.78" x2="5.64" y2="18.36"/><line x1="18.36" y1="5.64" x2="19.78" y2="4.22"/></svg></button></div></div><ul id=menu class=menu><li><a href=/vincent/publish-assistant/cloud-edge/venues/ title=Venues><span>Venues</span></a></li><li><a href=/vincent/publish-assistant/cloud-edge/calendar/ title=Calendar><span>Calendar</span></a></li><li><a href=/vincent/publish-assistant/cloud-edge/digests/ title=Digests><span class=active>Digests</span></a></li></ul></nav></header><main class=main><header class=page-header><h1>Digests</h1></header><div class="md-content page-intro"><p>tl;drs for the top papers.</p></div><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>SOSP 2024 Digest</h2></header><div class=entry-content><p>13 papers selected.
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Verus: A Practical Foundation for Systems Verification Andrea Lattuada 0001, Travis Hance, Jay Bosamiya, Matthias Brun 0002 et al.
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TL;DR — Verus is a Rust-based verification framework that makes formal proofs of low-level systems code tractable at scale, covering memory safety, functional correctness, and concurrency.
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Why notable — Formal verification of real systems code has long been impractical; Verus closes the usability gap by integrating SMT-based proofs directly into a systems programming language, making it the most broadly applicable verification tool for the OS community to date.
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...</p></div><footer class=entry-footer><span title='2024-11-05 00:00:00 +0000 UTC'>November 5, 2024</span> · <span>Publish Assistant</span></footer><a class=entry-link aria-label="post link to SOSP 2024 Digest" href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/sosp-2024/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>SoCC 2024 Digest</h2></header><div class=entry-content><p>12 papers selected.
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Queue Management for SLO-Oriented Large Language Model Serving Archit Patke, Dhemath Reddy, Saurabh Jha, Haoran Qiu et al.
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TL;DR — A queue management framework that enforces latency SLOs for LLM serving by dynamically routing and prioritizing requests across heterogeneous inference capacity.
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Why notable — As LLM deployments move into production clouds, meeting strict time-to-first-token and total latency SLOs becomes critical; this work directly addresses that gap with a practical, deployable solution. It is one of the first papers to treat LLM serving as a cloud SLO-management problem rather than a pure model-optimization problem.
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...</p></div><footer class=entry-footer><span title='2024-11-01 00:00:00 +0000 UTC'>November 1, 2024</span> · <span>Publish Assistant</span></footer><a class=entry-link aria-label="post link to SoCC 2024 Digest" href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/socc-2024/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>OSDI 2024 Digest</h2></header><div class=entry-content><p>11 papers selected.
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DistServe: Disaggregating Prefill and Decoding for Goodput-optimized Large Language Model Serving Yinmin Zhong, Shengyu Liu, Junda Chen, Jianbo Hu et al.
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TL;DR — Separates the compute-heavy prefill phase from the memory-bound decoding phase onto different GPU pools, eliminating head-of-line blocking and significantly improving LLM serving throughput.
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Why notable — Became one of the most influential LLM systems papers of 2024; the prefill–decode disaggregation insight is now widely adopted in production inference stacks (vLLM, SGLang, etc.).
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...</p></div><footer class=entry-footer><span title='2024-07-10 00:00:00 +0000 UTC'>July 10, 2024</span> · <span>Publish Assistant</span></footer><a class=entry-link aria-label="post link to OSDI 2024 Digest" href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/osdi-2024/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>CCGrid 2024 Digest</h2></header><div class=entry-content><p>10 papers selected.
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Fair, Efficient Multi-Resource Scheduling for Stateless Serverless Functions with Anubis Amit Samanta 0001, Ryan Stutsman
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TL;DR — Anubis introduces a fair, multi-resource scheduler for stateless serverless functions that achieves efficiency without sacrificing isolation between tenants.
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Why notable — Fairness in serverless resource allocation is an open problem as functions compete for heterogeneous resources (CPU, memory, I/O); Anubis provides a concrete, deployable answer. The work directly addresses a gap in production FaaS platforms where existing schedulers optimize for throughput but ignore per-tenant equity.
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...</p></div><footer class=entry-footer><span title='2024-05-06 00:00:00 +0000 UTC'>May 6, 2024</span> · <span>Publish Assistant</span></footer><a class=entry-link aria-label="post link to CCGrid 2024 Digest" href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/ccgrid-2024/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>ATC 2024 Digest</h2></header><div class=entry-content><p>12 papers selected.
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FetchBPF: Customizable Prefetching Policies in Linux with eBPF Xuechun Cao, Shaurya Patel, Soo-Yee Lim, Xueyuan Han et al.
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TL;DR — Extends eBPF into the page-fault / prefetch path, giving user-space programs a safe, low-overhead hook to install custom hardware-prefetch policies without kernel modifications.
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Fast (Trapless) Kernel Probes Everywhere Jinghao Jia, Michael V. Le, Salman Ahmed 0001, Dan Williams 0001 et al.
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TL;DR — Eliminates the trap-based overhead of kprobes by using binary rewriting to instrument kernel functions at near-zero cost, enabling always-on production tracing.
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...</p></div><footer class=entry-footer><span title='2024-01-01 00:00:00 +0000 UTC'>January 1, 2024</span> · <span>Publish Assistant</span></footer><a class=entry-link aria-label="post link to ATC 2024 Digest" href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/atc-2024/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>EuroSys 2024 Digest</h2></header><div class=entry-content><p>13 papers selected.
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Pronghorn: Effective Checkpoint Orchestration for Serverless Hot-Starts Sumer Kohli, Shreyas Kharbanda, Rodrigo Bruno, João Carreira et al.
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TL;DR — Demonstrates how carefully orchestrated checkpointing can eliminate cold-start latency in serverless runtimes, achieving near-instant hot-starts with negligible overhead.
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Serialization/Deserialization-free State Transfer in Serverless Workflows Fangming Lu, Xingda Wei, Zhuobin Huang, Rong Chen 0001 et al.
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TL;DR — Eliminates the dominant serialization cost in serverless function chaining by enabling direct in-memory state passing, yielding large end-to-end latency reductions.
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...</p></div><footer class=entry-footer><span title='2024-01-01 00:00:00 +0000 UTC'>January 1, 2024</span> · <span>Publish Assistant</span></footer><a class=entry-link aria-label="post link to EuroSys 2024 Digest" href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/eurosys-2024/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>FGCS 2024 Digest</h2></header><div class=entry-content><p>12 papers selected.
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Quantum-centric supercomputing for materials science: A perspective on challenges and future directions Yuri Alexeev, Maximilian Amsler, Marco Antonio Barroca, Sanzio Bassini et al.
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TL;DR — A comprehensive roadmap from IBM, national labs, and universities identifying key algorithmic, software, and hardware challenges for using quantum processors alongside classical HPC to advance materials science simulations.
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Why notable — Essential reading for any researcher planning quantum-classical hybrid workflows, covering the full stack from error mitigation to application mapping at scale.
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...</p></div><footer class=entry-footer><span title='2024-01-01 00:00:00 +0000 UTC'>January 1, 2024</span> · <span>Publish Assistant</span></footer><a class=entry-link aria-label="post link to FGCS 2024 Digest" href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/fgcs-2024/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>HPDC 2024 Digest</h2></header><div class=entry-content><p>12 papers selected.
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Efficient all-to-all Collective Communication Schedules for Direct-connect Topologies Prithwish Basu, Liangyu Zhao, Jason Fantl, Siddharth Pal et al.
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TL;DR — Derives near-optimal all-to-all collective communication schedules for direct-connect HPC topologies, directly improving bandwidth utilization in large-scale distributed systems.
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Reinforcement Learning-based Adaptive Mitigation of Uncorrected DRAM Errors in the Field Isaac Boixaderas, Sergi Moré, Javier Bartolome, David Vicente et al.
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TL;DR — Applies reinforcement learning to dynamically mitigate uncorrected DRAM errors at production HPC scale, improving system reliability without sacrificing performance.
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...</p></div><footer class=entry-footer><span title='2024-01-01 00:00:00 +0000 UTC'>January 1, 2024</span> · <span>Publish Assistant</span></footer><a class=entry-link aria-label="post link to HPDC 2024 Digest" href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/hpdc-2024/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>IC 2024 Digest</h2></header><div class=entry-content><p>10 papers selected.
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Revisiting Edge AI: Opportunities and Challenges Tobias Meuser, Lauri Lovén, Monowar Bhuyan, Shishir G. Patil et al.
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TL;DR — A multi-author position paper that revisits the state of edge AI, cataloguing deployment barriers and open research problems across hardware, networking, and software layers.
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Why notable — Brings together 19 leading researchers to synthesize the field’s most pressing edge AI challenges, making it an authoritative reference for practitioners and researchers planning edge deployments.
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...</p></div><footer class=entry-footer><span title='2024-01-01 00:00:00 +0000 UTC'>January 1, 2024</span> · <span>Publish Assistant</span></footer><a class=entry-link aria-label="post link to IC 2024 Digest" href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/ic-2024/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>IPDPS 2024 Digest</h2></header><div class=entry-content><p>14 papers selected.
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Low-Depth Spatial Tree Algorithms Yves Baumann, Tal Ben-Nun, Maciej Besta, Lukas Gianinazzi et al.
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TL;DR — Introduces parallel spatial-tree algorithms with provably low depth, advancing the theory of work-efficient parallel data structures for geometric workloads.
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Alternative Basis Matrix Multiplication is Fast and Stable Oded Schwartz, Sivan Toledo, Noa Vaknin, Gal Wiernik
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TL;DR — Demonstrates that alternative-basis matrix multiplication achieves both practical speed and numerical stability, challenging the conventional trade-off between the two.
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...</p></div><footer class=entry-footer><span title='2024-01-01 00:00:00 +0000 UTC'>January 1, 2024</span> · <span>Publish Assistant</span></footer><a class=entry-link aria-label="post link to IPDPS 2024 Digest" href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/ipdps-2024/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>JPDC 2024 Digest</h2></header><div class=entry-content><p>12 papers selected.
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Read/write fence-free work-stealing with multiplicity Armando Castañeda, Miguel Piña
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TL;DR — Presents a work-stealing deque algorithm that eliminates read/write memory fences while tolerating multiplicity, achieving provably correct concurrent access without costly barriers.
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Why notable — Advances the theoretical foundations of lock-free scheduler data structures by decoupling correctness from fence instructions, directly impacting runtime system design.
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Reliable communication in dynamic networks with locally bounded byzantine faults Silvia Bonomi, Giovanni Farina, Sébastien Tixeuil
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...</p></div><footer class=entry-footer><span title='2024-01-01 00:00:00 +0000 UTC'>January 1, 2024</span> · <span>Publish Assistant</span></footer><a class=entry-link aria-label="post link to JPDC 2024 Digest" href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/jpdc-2024/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>MobiSys 2024 Digest</h2></header><div class=entry-content><p>13 papers selected.
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WAIS: Leveraging WiFi for Resource-Efficient SLAM Aditya Arun 0002, William Hunter, Roshan Sai Ayyalasomayajula, Dinesh Bharadia
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TL;DR — Demonstrates that commodity WiFi signals can replace LiDAR for simultaneous localization and mapping, dramatically cutting the resource cost of robot/AR navigation.
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UWB-Fi: Pushing Wi-Fi towards Ultra-wideband for Fine-Granularity Sensing Xin Li 0070, Hongbo Wang, Zhe Chen 0015, Zhiping Jiang et al.
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TL;DR — Extends standard Wi-Fi to UWB-class sensing resolution without hardware changes, enabling centimeter-level gesture and motion detection on existing infrastructure.
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...</p></div><footer class=entry-footer><span title='2024-01-01 00:00:00 +0000 UTC'>January 1, 2024</span> · <span>Publish Assistant</span></footer><a class=entry-link aria-label="post link to MobiSys 2024 Digest" href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/mobisys-2024/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>NSDI 2024 Digest</h2></header><div class=entry-content><p>13 papers selected.
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MegaScale: Scaling Large Language Model Training to More Than 10, 000 GPUs Ziheng Jiang, Haibin Lin, Yinmin Zhong, Qi Huang et al.
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TL;DR — ByteDance’s full production account of training LLMs at 10,000+ GPUs, with novel co-design of the network stack, fault tolerance, and collective communication to sustain near-linear scaling.
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Harmony: A Congestion-free Datacenter Architecture Saksham Agarwal, Qizhe Cai, Rachit Agarwal 0001, David B. Shmoys et al.
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...</p></div><footer class=entry-footer><span title='2024-01-01 00:00:00 +0000 UTC'>January 1, 2024</span> · <span>Publish Assistant</span></footer><a class=entry-link aria-label="post link to NSDI 2024 Digest" href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/nsdi-2024/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>SC 2024 Digest</h2></header><div class=entry-content><p>15 papers selected.
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Pushing the Limit of Quantum Mechanical Simulation to the Raman Spectra of a Biological System with 100 Million Atoms Honghui Shang, Ying Liu 0055, Zhikun Wu, Zhenchuan Chen et al.
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TL;DR — Gordon Bell-class result scaling ab initio Raman spectroscopy to 100 million atoms, pushing quantum-chemical simulation well beyond prior limits.
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Breaking the Molecular Dynamics Timescale Barrier Using a Wafer-Scale System Kylee Santos, Stan G. Moore, Tomas Oppelstrup, Amirali Sharifian et al.
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...</p></div><footer class=entry-footer><span title='2024-01-01 00:00:00 +0000 UTC'>January 1, 2024</span> · <span>Publish Assistant</span></footer><a class=entry-link aria-label="post link to SC 2024 Digest" href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/sc-2024/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>SEC 2024 Digest</h2></header><div class=entry-content><p>12 papers selected.
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EdgeCore: Resource Dependency-Aware Multi-Tenant Orchestration for Mobile Edge Clouds Amran Haroon
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TL;DR — Introduces a multi-tenant edge orchestration system that captures resource dependencies across co-located workloads, demonstrating significant improvements in task completion latency and resource utilization.
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Righteous: Automatic Right-Sizing for Complex Edge Deployments Aniruddha Rakshit
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TL;DR — Presents an automated right-sizing framework for edge deployments that dynamically adjusts resource allocations to match workload demands without manual intervention.
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...</p></div><footer class=entry-footer><span title='2024-01-01 00:00:00 +0000 UTC'>January 1, 2024</span> · <span>Publish Assistant</span></footer><a class=entry-link aria-label="post link to SEC 2024 Digest" href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/sec-2024/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>TC 2024 Digest</h2></header><div class=entry-content><p>12 papers selected.
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Achieving DRAM-Like PCM by Trading Off Capacity for Latency Irina Alam, Puneet Gupta 0001
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TL;DR — Proposes a capacity-for-latency trade-off in Phase Change Memory to match DRAM-level access latency without specialized process changes.
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Why notable — Offers a practical path to deploying PCM as a DRAM alternative, directly addressing the latency gap that has blocked PCM adoption in main-memory systems.
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A High-Performance, Energy-Efficient Modular DMA Engine Architecture Thomas Benz, Michael Rogenmoser, Paul Scheffler, Samuel Riedel et al.
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...</p></div><footer class=entry-footer><span title='2024-01-01 00:00:00 +0000 UTC'>January 1, 2024</span> · <span>Publish Assistant</span></footer><a class=entry-link aria-label="post link to TC 2024 Digest" href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/tc-2024/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>TCC 2024 Digest</h2></header><div class=entry-content><p>12 papers selected.
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FaaSCtrl: A Comprehensive-Latency Controller for Serverless Platforms Abhisek Panda, Smruti R. Sarangi
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TL;DR — FaaSCtrl is a feedback-control system for serverless platforms that jointly manages cold-start, queuing, and execution latency to meet end-to-end SLOs.
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Why notable — One of the few serverless controllers that addresses all three latency components together, providing a principled alternative to ad-hoc autoscaling heuristics.
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FUSIONIZE++: Improving Serverless Application Performance Using Dynamic Task Inlining and Infrastructure Optimization Trever Schirmer, Joel Scheuner, Tobias Pfandzelter, David Bermbach
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...</p></div><footer class=entry-footer><span title='2024-01-01 00:00:00 +0000 UTC'>January 1, 2024</span> · <span>Publish Assistant</span></footer><a class=entry-link aria-label="post link to TCC 2024 Digest" href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/tcc-2024/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>TOCS 2024 Digest</h2></header><div class=entry-content><p>8 papers selected.
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PMAlloc: A Holistic Approach to Improving Persistent Memory Allocation Zheng Dang, Shuibing He, Xuechen Zhang, Peiyi Hong et al.
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TL;DR — PMAlloc redesigns persistent memory allocation end-to-end, co-optimizing the allocator’s data structures, concurrency, and crash consistency to dramatically reduce allocation overhead.
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Why notable — Persistent memory is still poorly understood at the allocator level; this paper offers a rare holistic treatment that will inform future PM software stacks.
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...</p></div><footer class=entry-footer><span title='2024-01-01 00:00:00 +0000 UTC'>January 1, 2024</span> · <span>Publish Assistant</span></footer><a class=entry-link aria-label="post link to TOCS 2024 Digest" href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/tocs-2024/></a></article><article class=post-entry><header class=entry-header><h2 class=entry-hint-parent>TPDS 2024 Digest</h2></header><div class=entry-content><p>12 papers selected.
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Runtime Performance Anomaly Diagnosis in Production HPC Systems Using Active Learning Burak Aksar, Efe Sencan, Benjamin Schwaller, Omar Aaziz et al.
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TL;DR — An active-learning framework automatically diagnoses runtime performance anomalies in production HPC systems by querying targeted job profiles to minimize labeling effort.
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Why notable — It bridges ML-based anomaly detection and operational HPC monitoring, demonstrating scalable root-cause identification on real supercomputer workloads.
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AutoDDL: Automatic Distributed Deep Learning With Near-Optimal Bandwidth Cost Jinfan Chen, Shigang Li 0002, Ran Guo, Jinhui Yuan et al.
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...</p></div><footer class=entry-footer><span title='2024-01-01 00:00:00 +0000 UTC'>January 1, 2024</span> · <span>Publish Assistant</span></footer><a class=entry-link aria-label="post link to TPDS 2024 Digest" href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/tpds-2024/></a></article><footer class=page-footer><nav class=pagination><a class=prev href=https://pub.sqrt.fr/vincent/publish-assistant/cloud-edge/digests/>« Prev </a></nav></footer></main><footer class=footer><span>© 2026 <a href=https://pub.sqrt.fr/vincent/publish-assistant/>Publish Assistant</a></span> ·
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