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</a> </li><li> <a href="/list/cs.PF/recent?skip=9&amp;show=50"> Mon, 17 Mar 2025 </a> </li></ul> <p>See today's <a id="new-cs.PF" aria-labelledby="new-cs.PF" href="/list/cs.PF/new">new</a> changes</p> <div class='paging'>Total of 12 entries </div> <div class='morefewer'>Showing up to 50 entries per page: <a href=/list/cs.PF/recent?skip=0&amp;show=25 rel="nofollow"> fewer</a> | <span style="color: #454545">more</span> | <span style="color: #454545">all</span> </div> <dl id='articles'> <h3>Fri, 21 Mar 2025 (showing 1 of 1 entries )</h3> <dt> <a name='item1'>[1]</a> <a href ="/abs/2503.16332" title="Abstract" id="2503.16332"> arXiv:2503.16332 </a> [<a href="/pdf/2503.16332" title="Download PDF" id="pdf-2503.16332" aria-labelledby="pdf-2503.16332">pdf</a>, <a href="https://arxiv.org/html/2503.16332v1" title="View HTML" id="html-2503.16332" aria-labelledby="html-2503.16332" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.16332" title="Other formats" id="oth-2503.16332" aria-labelledby="oth-2503.16332">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A Dataset of Performance Measurements and Alerts from Mozilla (Data Artifact) </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Besbes,+M+B">Mohamed Bilel Besbes</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Costa,+D+E">Diego Elias Costa</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Mujahid,+S">Suhaib Mujahid</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Mierzwinski,+G">Gregory Mierzwinski</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Castelluccio,+M">Marco Castelluccio</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Performance (cs.PF)</span> </div> </div> </dd> </dl> <dl id='articles'> <h3>Thu, 20 Mar 2025 (showing 3 of 3 entries )</h3> <dt> <a name='item2'>[2]</a> <a href ="/abs/2503.14781" title="Abstract" id="2503.14781"> arXiv:2503.14781 </a> [<a href="/pdf/2503.14781" title="Download PDF" id="pdf-2503.14781" aria-labelledby="pdf-2503.14781">pdf</a>, <a href="https://arxiv.org/html/2503.14781v1" title="View HTML" id="html-2503.14781" aria-labelledby="html-2503.14781" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.14781" title="Other formats" id="oth-2503.14781" aria-labelledby="oth-2503.14781">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Fake Runs, Real Fixes -- Analyzing xPU Performance Through Simulation </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Zarkadas,+I">Ioannis Zarkadas</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Tomlinson,+A">Amanda Tomlinson</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Cidon,+A">Asaf Cidon</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Kasikci,+B">Baris Kasikci</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Weisse,+O">Ofir Weisse</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Performance (cs.PF)</span>; Distributed, Parallel, and Cluster Computing (cs.DC); Machine Learning (cs.LG) </div> </div> </dd> <dt> <a name='item3'>[3]</a> <a href ="/abs/2503.14515" title="Abstract" id="2503.14515"> arXiv:2503.14515 </a> [<a href="/pdf/2503.14515" title="Download PDF" id="pdf-2503.14515" aria-labelledby="pdf-2503.14515">pdf</a>, <a href="https://arxiv.org/html/2503.14515v1" title="View HTML" id="html-2503.14515" aria-labelledby="html-2503.14515" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.14515" title="Other formats" id="oth-2503.14515" aria-labelledby="oth-2503.14515">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> AI Work Quantization Model: Closed-System AI Computational Effort Metric </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Sharma,+A+K">Aasish Kumar Sharma</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Bidollahkhani,+M">Michael Bidollahkhani</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Kunkel,+J+M">Julian Martin Kunkel</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 2 columns, 12 pages, 2 figure, IEEE formatted </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Performance (cs.PF)</span>; Computational Engineering, Finance, and Science (cs.CE) </div> </div> </dd> <dt> <a name='item4'>[4]</a> <a href ="/abs/2503.15252" title="Abstract" id="2503.15252"> arXiv:2503.15252 </a> (cross-list from cs.DC) [<a href="/pdf/2503.15252" title="Download PDF" id="pdf-2503.15252" aria-labelledby="pdf-2503.15252">pdf</a>, <a href="https://arxiv.org/html/2503.15252v1" title="View HTML" id="html-2503.15252" aria-labelledby="html-2503.15252" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.15252" title="Other formats" id="oth-2503.15252" aria-labelledby="oth-2503.15252">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Efficient allocation of image recognition and LLM tasks on multi-GPU system </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Lawenda,+M">Marcin Lawenda</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Samborski,+K">Krzesimir Samborski</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Khloponin,+K">Kyrylo Khloponin</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Szustak,+%C5%81">艁ukasz Szustak</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Distributed, Parallel, and Cluster Computing (cs.DC)</span>; Performance (cs.PF) </div> </div> </dd> </dl> <dl id='articles'> <h3>Wed, 19 Mar 2025 (showing 2 of 2 entries )</h3> <dt> <a name='item5'>[5]</a> <a href ="/abs/2503.13679" title="Abstract" id="2503.13679"> arXiv:2503.13679 </a> [<a href="/pdf/2503.13679" title="Download PDF" id="pdf-2503.13679" aria-labelledby="pdf-2503.13679">pdf</a>, <a href="https://arxiv.org/html/2503.13679v1" title="View HTML" id="html-2503.13679" aria-labelledby="html-2503.13679" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.13679" title="Other formats" id="oth-2503.13679" aria-labelledby="oth-2503.13679">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> PrETi: Predicting Execution Time in Early Stage with LLVM and Machine Learning </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Xu,+R">Risheng Xu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Sieweck,+P">Philipp Sieweck</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=von+Hasseln,+H">Hermann von Hasseln</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Nowotka,+D">Dirk Nowotka</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Performance (cs.PF)</span>; Machine Learning (cs.LG) </div> </div> </dd> <dt> <a name='item6'>[6]</a> <a href ="/abs/2503.13662" title="Abstract" id="2503.13662"> arXiv:2503.13662 </a> (cross-list from cs.DC) [<a href="/pdf/2503.13662" title="Download PDF" id="pdf-2503.13662" aria-labelledby="pdf-2503.13662">pdf</a>, <a href="https://arxiv.org/html/2503.13662v1" title="View HTML" id="html-2503.13662" aria-labelledby="html-2503.13662" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.13662" title="Other formats" id="oth-2503.13662" aria-labelledby="oth-2503.13662">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Optimizing Data Transfer Performance and Energy Efficiency with Deep Reinforcement Learning </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Jamil,+H">Hasubil Jamil</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Goldverg,+J">Jacob Goldverg</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Rodrigues,+E">Elvis Rodrigues</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Nine,+M+S+Q+Z">MD S Q Zulkar Nine</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Kosar,+T">Tevfik Kosar</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Will be submitted to TPDS </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Distributed, Parallel, and Cluster Computing (cs.DC)</span>; Networking and Internet Architecture (cs.NI); Performance (cs.PF) </div> </div> </dd> </dl> <dl id='articles'> <h3>Tue, 18 Mar 2025 (showing 3 of 3 entries )</h3> <dt> <a name='item7'>[7]</a> <a href ="/abs/2503.12185" title="Abstract" id="2503.12185"> arXiv:2503.12185 </a> [<a href="/pdf/2503.12185" title="Download PDF" id="pdf-2503.12185" aria-labelledby="pdf-2503.12185">pdf</a>, <a href="https://arxiv.org/html/2503.12185v1" title="View HTML" id="html-2503.12185" aria-labelledby="html-2503.12185" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.12185" title="Other formats" id="oth-2503.12185" aria-labelledby="oth-2503.12185">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> FAILS: A Framework for Automated Collection and Analysis of LLM Service Incidents </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Battaglini-Fischer,+S">S谩ndor Battaglini-Fischer</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Nishanthi">Nishanthi Srinivasan</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Szarvas,+B+L">B谩lint L谩szl贸 Szarvas</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Chu,+X">Xiaoyu Chu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Iosup,+A">Alexandru Iosup</a></div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> HotCloudPerf 2025 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Performance (cs.PF)</span>; Distributed, Parallel, and Cluster Computing (cs.DC) </div> </div> </dd> <dt> <a name='item8'>[8]</a> <a href ="/abs/2503.13064" title="Abstract" id="2503.13064"> arXiv:2503.13064 </a> (cross-list from cs.AR) [<a href="/pdf/2503.13064" title="Download PDF" id="pdf-2503.13064" aria-labelledby="pdf-2503.13064">pdf</a>, <a href="https://arxiv.org/html/2503.13064v1" title="View HTML" id="html-2503.13064" aria-labelledby="html-2503.13064" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.13064" title="Other formats" id="oth-2503.13064" aria-labelledby="oth-2503.13064">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> HERMES: High-Performance RISC-V Memory Hierarchy for ML Workloads </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Suryadevara,+P">Pranav Suryadevara</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 5 pages, 5 figures. Individual Project </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Hardware Architecture (cs.AR)</span>; Performance (cs.PF) </div> </div> </dd> <dt> <a name='item9'>[9]</a> <a href ="/abs/2503.12668" title="Abstract" id="2503.12668"> arXiv:2503.12668 </a> (cross-list from cs.LG) [<a href="/pdf/2503.12668" title="Download PDF" id="pdf-2503.12668" aria-labelledby="pdf-2503.12668">pdf</a>, <a href="https://arxiv.org/html/2503.12668v1" title="View HTML" id="html-2503.12668" aria-labelledby="html-2503.12668" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.12668" title="Other formats" id="oth-2503.12668" aria-labelledby="oth-2503.12668">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> ZO2: Scalable Zeroth-Order Fine-Tuning for Extremely Large Language Models with Limited GPU Memory </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Wang,+L">Liangyu Wang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Ren,+J">Jie Ren</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Xu,+H">Hang Xu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Wang,+J">Junxiao Wang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Xie,+H">Huanyi Xie</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Keyes,+D+E">David E. Keyes</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Wang,+D">Di Wang</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 14 pages, 7 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (cs.LG)</span>; Performance (cs.PF) </div> </div> </dd> </dl> <dl id='articles'> <h3>Mon, 17 Mar 2025 (showing 3 of 3 entries )</h3> <dt> <a name='item10'>[10]</a> <a href ="/abs/2503.11244" title="Abstract" id="2503.11244"> arXiv:2503.11244 </a> [<a href="/pdf/2503.11244" title="Download PDF" id="pdf-2503.11244" aria-labelledby="pdf-2503.11244">pdf</a>, <a href="https://arxiv.org/html/2503.11244v1" title="View HTML" id="html-2503.11244" aria-labelledby="html-2503.11244" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.11244" title="Other formats" id="oth-2503.11244" aria-labelledby="oth-2503.11244">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> LLMPerf: GPU Performance Modeling meets Large Language Models </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Nguyen,+K+N">Khoi N.M. Nguyen</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Do,+H+D+N">Hoang Duy Nguyen Do</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Le,+H+T">Huyen Thao Le</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Dao,+T+T">Thanh Tuan Dao</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Performance (cs.PF)</span>; Distributed, Parallel, and Cluster Computing (cs.DC); Machine Learning (cs.LG) </div> </div> </dd> <dt> <a name='item11'>[11]</a> <a href ="/abs/2503.11460" title="Abstract" id="2503.11460"> arXiv:2503.11460 </a> (cross-list from cs.AR) [<a href="/pdf/2503.11460" title="Download PDF" id="pdf-2503.11460" aria-labelledby="pdf-2503.11460">pdf</a>, <a href="https://arxiv.org/html/2503.11460v1" title="View HTML" id="html-2503.11460" aria-labelledby="html-2503.11460" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.11460" title="Other formats" id="oth-2503.11460" aria-labelledby="oth-2503.11460">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> ARCAS: Adaptive Runtime System for Chiplet-Aware Scheduling </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Fogli,+A">Alessandro Fogli</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Zhao,+B">Bo Zhao</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Pietzuch,+P">Peter Pietzuch</a>, <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Giceva,+J">Jana Giceva</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Hardware Architecture (cs.AR)</span>; Distributed, Parallel, and Cluster Computing (cs.DC); Performance (cs.PF); Systems and Control (eess.SY) </div> </div> </dd> <dt> <a name='item12'>[12]</a> <a href ="/abs/2503.10796" title="Abstract" id="2503.10796"> arXiv:2503.10796 </a> (cross-list from cs.DC) [<a href="/pdf/2503.10796" title="Download PDF" id="pdf-2503.10796" aria-labelledby="pdf-2503.10796">pdf</a>, <a href="/format/2503.10796" title="Other formats" id="oth-2503.10796" aria-labelledby="oth-2503.10796">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Design and Analysis of an Extreme-Scale, High-Performance, and Modular Agent-Based Simulation Platform </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Breitwieser,+L+J">Lukas Johannes Breitwieser</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> PhD Thesis submitted to ETH Zurich </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Distributed, Parallel, and Cluster Computing (cs.DC)</span>; Computational Engineering, Finance, and Science (cs.CE); Multiagent Systems (cs.MA); Performance (cs.PF); Quantitative Methods (q-bio.QM) </div> </div> </dd> </dl> <div class='paging'>Total of 12 entries </div> <div class='morefewer'>Showing up to 50 entries per page: <a href=/list/cs.PF/recent?skip=0&amp;show=25 rel="nofollow"> fewer</a> | <span style="color: #454545">more</span> | <span style="color: #454545">all</span> </div> </div> </div> </div> </main> <footer style="clear: both;"> <div class="columns is-desktop" role="navigation" aria-label="Secondary" style="margin: -0.75em -0.75em 0.75em -0.75em"> <!-- Macro-Column 1 --> <div class="column" style="padding: 0;"> <div class="columns"> <div class="column"> <ul style="list-style: none; line-height: 2;"> <li><a href="https://info.arxiv.org/about">About</a></li> <li><a href="https://info.arxiv.org/help">Help</a></li> </ul> </div> <div class="column"> <ul style="list-style: none; line-height: 2;"> <li> <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512" class="icon filter-black" role="presentation"><title>contact arXiv</title><desc>Click here to contact arXiv</desc><path d="M502.3 190.8c3.9-3.1 9.7-.2 9.7 4.7V400c0 26.5-21.5 48-48 48H48c-26.5 0-48-21.5-48-48V195.6c0-5 5.7-7.8 9.7-4.7 22.4 17.4 52.1 39.5 154.1 113.6 21.1 15.4 56.7 47.8 92.2 47.6 35.7.3 72-32.8 92.3-47.6 102-74.1 131.6-96.3 154-113.7zM256 320c23.2.4 56.6-29.2 73.4-41.4 132.7-96.3 142.8-104.7 173.4-128.7 5.8-4.5 9.2-11.5 9.2-18.9v-19c0-26.5-21.5-48-48-48H48C21.5 64 0 85.5 0 112v19c0 7.4 3.4 14.3 9.2 18.9 30.6 23.9 40.7 32.4 173.4 128.7 16.8 12.2 50.2 41.8 73.4 41.4z"/></svg> <a href="https://info.arxiv.org/help/contact.html"> Contact</a> </li> <li> <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512" class="icon filter-black" role="presentation"><title>subscribe to arXiv mailings</title><desc>Click here to subscribe</desc><path d="M476 3.2L12.5 270.6c-18.1 10.4-15.8 35.6 2.2 43.2L121 358.4l287.3-253.2c5.5-4.9 13.3 2.6 8.6 8.3L176 407v80.5c0 23.6 28.5 32.9 42.5 15.8L282 426l124.6 52.2c14.2 6 30.4-2.9 33-18.2l72-432C515 7.8 493.3-6.8 476 3.2z"/></svg> <a href="https://info.arxiv.org/help/subscribe"> Subscribe</a> </li> </ul> </div> </div> </div> <!-- End Macro-Column 1 --> <!-- Macro-Column 2 --> <div class="column" style="padding: 0;"> <div class="columns"> <div class="column"> <ul style="list-style: none; 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