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name="order"><option selected value="-announced_date_first">Announcement date (newest first)</option><option value="announced_date_first">Announcement date (oldest first)</option><option value="-submitted_date">Submission date (newest first)</option><option value="submitted_date">Submission date (oldest first)</option><option value="">Relevance</option></select> </span> </div> <div class="control"> <button class="button is-small is-link">Go</button> </div> </div> </form> </div> </div> <ol class="breathe-horizontal" start="1"> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2306.04458">arXiv:2306.04458</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2306.04458">pdf</a>, <a href="https://arxiv.org/format/2306.04458">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Cryptography and Security">cs.CR</span> </div> </div> <p class="title is-5 mathjax"> Hardening and Speeding Up Zero-interaction Pairing and Authentication </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&amp;query=Fomichev%2C+M">Mikhail Fomichev</a>, <a href="/search/cs?searchtype=author&amp;query=Lippert%2C+T">Timm Lippert</a>, <a href="/search/cs?searchtype=author&amp;query=Hollick%2C+M">Matthias Hollick</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2306.04458v2-abstract-short" style="display: inline;"> Establishing and maintaining secure communications in the Internet of Things (IoT) is vital to protect smart devices. Zero-interaction pairing (ZIP) and zero-interaction authentication (ZIA) enable IoT devices to establish and maintain secure communications without user interaction by utilizing devices&#39; ambient context, e.g., audio. For autonomous operation, ZIP and ZIA require the context to have&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2306.04458v2-abstract-full').style.display = 'inline'; document.getElementById('2306.04458v2-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2306.04458v2-abstract-full" style="display: none;"> Establishing and maintaining secure communications in the Internet of Things (IoT) is vital to protect smart devices. Zero-interaction pairing (ZIP) and zero-interaction authentication (ZIA) enable IoT devices to establish and maintain secure communications without user interaction by utilizing devices&#39; ambient context, e.g., audio. For autonomous operation, ZIP and ZIA require the context to have enough entropy to resist attacks and complete in a timely manner. Despite the low-entropy context being the norm, like inside an unoccupied room, the research community has yet to come up with ZIP and ZIA schemes operating under such conditions. We propose HardZiPA, a novel approach that turns commodity IoT actuators into injecting devices, generating high-entropy context. Here, we combine the capability of IoT actuators to impact the environment, e.g., emitting a sound, with a pseudorandom number generator (PRNG) featured by many actuators to craft hard-to-predict context stimuli. To demonstrate the feasibility of HardZiPA, we implement it on off-the-shelf IoT actuators, i.e., smart speakers, lights, and humidifiers. We comprehensively evaluate HardZiPA, collecting over 80 hours of various context data in real-world scenarios. Our results show that HardZiPA is able to thwart advanced active attacks on ZIP and ZIA schemes, while doubling the amount of context entropy in many cases, which allows two times faster pairing and authentication. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2306.04458v2-abstract-full').style.display = 'none'; document.getElementById('2306.04458v2-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 28 August, 2023; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 7 June, 2023; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> June 2023. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">Accepted to EWSN 2023. Code and data are available at https://github.com/seemoo-lab/hardzipa</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2303.13337">arXiv:2303.13337</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2303.13337">pdf</a>, <a href="https://arxiv.org/format/2303.13337">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Computational Physics">physics.comp-ph</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Distributed, Parallel, and Cluster Computing">cs.DC</span> </div> <div class="is-inline-block" style="margin-left: 0.5rem"> <div class="tags has-addons"> <span class="tag is-dark is-size-7">doi</span> <span class="tag is-light is-size-7"><a class="" href="https://doi.org/10.1016/j.jpdc.2024.104945">10.1016/j.jpdc.2024.104945 <i class="fa fa-external-link" aria-hidden="true"></i></a></span> </div> </div> </div> <p class="title is-5 mathjax"> Scalability of 3D-DFT by block tensor-matrix multiplication on the JUWELS Cluster </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&amp;query=Malapally%2C+N">Nitin Malapally</a>, <a href="/search/cs?searchtype=author&amp;query=Bolnykh%2C+V">Viacheslav Bolnykh</a>, <a href="/search/cs?searchtype=author&amp;query=Suarez%2C+E">Estela Suarez</a>, <a href="/search/cs?searchtype=author&amp;query=Carloni%2C+P">Paolo Carloni</a>, <a href="/search/cs?searchtype=author&amp;query=Lippert%2C+T">Thomas Lippert</a>, <a href="/search/cs?searchtype=author&amp;query=Mandelli%2C+D">Davide Mandelli</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2303.13337v1-abstract-short" style="display: inline;"> The 3D Discrete Fourier Transform (DFT) is a technique used to solve problems in disparate fields. Nowadays, the commonly adopted implementation of the 3D-DFT is derived from the Fast Fourier Transform (FFT) algorithm. However, evidence indicates that the distributed memory 3D-FFT algorithm does not scale well due to its use of all-to-all communication. Here, building on the work of Sedukhin \text&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2303.13337v1-abstract-full').style.display = 'inline'; document.getElementById('2303.13337v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2303.13337v1-abstract-full" style="display: none;"> The 3D Discrete Fourier Transform (DFT) is a technique used to solve problems in disparate fields. Nowadays, the commonly adopted implementation of the 3D-DFT is derived from the Fast Fourier Transform (FFT) algorithm. However, evidence indicates that the distributed memory 3D-FFT algorithm does not scale well due to its use of all-to-all communication. Here, building on the work of Sedukhin \textit{et al}. [Proceedings of the 30th International Conference on Computers and Their Applications, CATA 2015 pp. 193-200 (01 2015)], we revisit the possibility of improving the scaling of the 3D-DFT by using an alternative approach that uses point-to-point communication, albeit at a higher arithmetic complexity. The new algorithm exploits tensor-matrix multiplications on a volumetrically decomposed domain via three specially adapted variants of Cannon&#39;s algorithm. It has here been implemented as a C++ library called S3DFT and tested on the JUWELS Cluster at the J眉lich Supercomputing Center. Our implementation of the shared memory tensor-matrix multiplication attained 88\% of the theoretical single node peak performance. One variant of the distributed memory tensor-matrix multiplication shows excellent scaling, while the other two show poorer performance, which can be attributed to their intrinsic communication patterns. A comparison of S3DFT with the Intel MKL and FFTW3 libraries indicates that currently iMKL performs best overall, followed in order by FFTW3 and S3DFT. This picture might change with further improvements of the algorithm and/or when running on clusters that use network connections with higher latency, e.g. on cloud platforms. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2303.13337v1-abstract-full').style.display = 'none'; document.getElementById('2303.13337v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 23 March, 2023; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> March 2023. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">18 pages, 8 figures</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2108.11976">arXiv:2108.11976</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2108.11976">pdf</a>, <a href="https://arxiv.org/format/2108.11976">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Distributed, Parallel, and Cluster Computing">cs.DC</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Machine Learning">cs.LG</span> </div> </div> <p class="title is-5 mathjax"> JUWELS Booster -- A Supercomputer for Large-Scale AI Research </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&amp;query=Kesselheim%2C+S">Stefan Kesselheim</a>, <a href="/search/cs?searchtype=author&amp;query=Herten%2C+A">Andreas Herten</a>, <a href="/search/cs?searchtype=author&amp;query=Krajsek%2C+K">Kai Krajsek</a>, <a href="/search/cs?searchtype=author&amp;query=Ebert%2C+J">Jan Ebert</a>, <a href="/search/cs?searchtype=author&amp;query=Jitsev%2C+J">Jenia Jitsev</a>, <a href="/search/cs?searchtype=author&amp;query=Cherti%2C+M">Mehdi Cherti</a>, <a href="/search/cs?searchtype=author&amp;query=Langguth%2C+M">Michael Langguth</a>, <a href="/search/cs?searchtype=author&amp;query=Gong%2C+B">Bing Gong</a>, <a href="/search/cs?searchtype=author&amp;query=Stadtler%2C+S">Scarlet Stadtler</a>, <a href="/search/cs?searchtype=author&amp;query=Mozaffari%2C+A">Amirpasha Mozaffari</a>, <a href="/search/cs?searchtype=author&amp;query=Cavallaro%2C+G">Gabriele Cavallaro</a>, <a href="/search/cs?searchtype=author&amp;query=Sedona%2C+R">Rocco Sedona</a>, <a href="/search/cs?searchtype=author&amp;query=Schug%2C+A">Alexander Schug</a>, <a href="/search/cs?searchtype=author&amp;query=Strube%2C+A">Alexandre Strube</a>, <a href="/search/cs?searchtype=author&amp;query=Kamath%2C+R">Roshni Kamath</a>, <a href="/search/cs?searchtype=author&amp;query=Schultz%2C+M+G">Martin G. Schultz</a>, <a href="/search/cs?searchtype=author&amp;query=Riedel%2C+M">Morris Riedel</a>, <a href="/search/cs?searchtype=author&amp;query=Lippert%2C+T">Thomas Lippert</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2108.11976v1-abstract-short" style="display: inline;"> In this article, we present JUWELS Booster, a recently commissioned high-performance computing system at the J眉lich Supercomputing Center. With its system architecture, most importantly its large number of powerful Graphics Processing Units (GPUs) and its fast interconnect via InfiniBand, it is an ideal machine for large-scale Artificial Intelligence (AI) research and applications. We detail its s&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2108.11976v1-abstract-full').style.display = 'inline'; document.getElementById('2108.11976v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2108.11976v1-abstract-full" style="display: none;"> In this article, we present JUWELS Booster, a recently commissioned high-performance computing system at the J眉lich Supercomputing Center. With its system architecture, most importantly its large number of powerful Graphics Processing Units (GPUs) and its fast interconnect via InfiniBand, it is an ideal machine for large-scale Artificial Intelligence (AI) research and applications. We detail its system architecture, parallel, distributed model training, and benchmarks indicating its outstanding performance. We exemplify its potential for research application by presenting large-scale AI research highlights from various scientific fields that require such a facility. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2108.11976v1-abstract-full').style.display = 'none'; document.getElementById('2108.11976v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 30 June, 2021; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> August 2021. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">12 pages, 5 figures. Accepted at ISC 2021, Workshop Deep Learning on Supercomputers. This is a duplicate submission as my previous submission is on hold for several weeks now and my attempts to contact the moderators failed</span> </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Report number:</span> 1234567Dummy </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2106.04907">arXiv:2106.04907</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2106.04907">pdf</a>, <a href="https://arxiv.org/format/2106.04907">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Cryptography and Security">cs.CR</span> </div> <div class="is-inline-block" style="margin-left: 0.5rem"> <div class="tags has-addons"> <span class="tag is-dark is-size-7">doi</span> <span class="tag is-light is-size-7"><a class="" href="https://doi.org/10.1145/3458864.3467883">10.1145/3458864.3467883 <i class="fa fa-external-link" aria-hidden="true"></i></a></span> </div> </div> </div> <p class="title is-5 mathjax"> FastZIP: Faster and More Secure Zero-Interaction Pairing </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&amp;query=Fomichev%2C+M">Mikhail Fomichev</a>, <a href="/search/cs?searchtype=author&amp;query=Hesse%2C+J">Julia Hesse</a>, <a href="/search/cs?searchtype=author&amp;query=Almon%2C+L">Lars Almon</a>, <a href="/search/cs?searchtype=author&amp;query=Lippert%2C+T">Timm Lippert</a>, <a href="/search/cs?searchtype=author&amp;query=Han%2C+J">Jun Han</a>, <a href="/search/cs?searchtype=author&amp;query=Hollick%2C+M">Matthias Hollick</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2106.04907v3-abstract-short" style="display: inline;"> With the advent of the Internet of Things (IoT), establishing a secure channel between smart devices becomes crucial. Recent research proposes zero-interaction pairing (ZIP), which enables pairing without user assistance by utilizing devices&#39; physical context (e.g., ambient audio) to obtain a shared secret key. The state-of-the-art ZIP schemes suffer from three limitations: (1) prolonged pairing t&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2106.04907v3-abstract-full').style.display = 'inline'; document.getElementById('2106.04907v3-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2106.04907v3-abstract-full" style="display: none;"> With the advent of the Internet of Things (IoT), establishing a secure channel between smart devices becomes crucial. Recent research proposes zero-interaction pairing (ZIP), which enables pairing without user assistance by utilizing devices&#39; physical context (e.g., ambient audio) to obtain a shared secret key. The state-of-the-art ZIP schemes suffer from three limitations: (1) prolonged pairing time (i.e., minutes or hours), (2) vulnerability to brute-force offline attacks on a shared key, and (3) susceptibility to attacks caused by predictable context (e.g., replay attack) because they rely on limited entropy of physical context to protect a shared key. We address these limitations, proposing FastZIP, a novel ZIP scheme that significantly reduces pairing time while preventing offline and predictable context attacks. In particular, we adapt a recently introduced Fuzzy Password-Authenticated Key Exchange (fPAKE) protocol and utilize sensor fusion, maximizing their advantages. We instantiate FastZIP for intra-car device pairing to demonstrate its feasibility and show how the design of FastZIP can be adapted to other ZIP use cases. We implement FastZIP and evaluate it by driving four cars for a total of 800 km. We achieve up to three times shorter pairing time compared to the state-of-the-art ZIP schemes while assuring robust security with adversarial error rates below 0.5%. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2106.04907v3-abstract-full').style.display = 'none'; document.getElementById('2106.04907v3-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 23 February, 2022; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 9 June, 2021; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> June 2021. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">ACM MobiSys &#39;21; Fixed ambiguity in flow diagram (Figure 2). Code and data are available at: https://github.com/seemoo-lab/fastzip</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/0911.2174">arXiv:0911.2174</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/0911.2174">pdf</a>, <a href="https://arxiv.org/format/0911.2174">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="High Energy Physics - Lattice">hep-lat</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Hardware Architecture">cs.AR</span> </div> </div> <p class="title is-5 mathjax"> QPACE -- a QCD parallel computer based on Cell processors </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&amp;query=Baier%2C+H">H. Baier</a>, <a href="/search/cs?searchtype=author&amp;query=Boettiger%2C+H">H. Boettiger</a>, <a href="/search/cs?searchtype=author&amp;query=Drochner%2C+M">M. Drochner</a>, <a href="/search/cs?searchtype=author&amp;query=Eicker%2C+N">N. Eicker</a>, <a href="/search/cs?searchtype=author&amp;query=Fischer%2C+U">U. Fischer</a>, <a href="/search/cs?searchtype=author&amp;query=Fodor%2C+Z">Z. Fodor</a>, <a href="/search/cs?searchtype=author&amp;query=Frommer%2C+A">A. Frommer</a>, <a href="/search/cs?searchtype=author&amp;query=Gomez%2C+C">C. Gomez</a>, <a href="/search/cs?searchtype=author&amp;query=Goldrian%2C+G">G. Goldrian</a>, <a href="/search/cs?searchtype=author&amp;query=Heybrock%2C+S">S. Heybrock</a>, <a href="/search/cs?searchtype=author&amp;query=Hierl%2C+D">D. Hierl</a>, <a href="/search/cs?searchtype=author&amp;query=H%C3%BCsken%2C+M">M. H眉sken</a>, <a href="/search/cs?searchtype=author&amp;query=Huth%2C+T">T. Huth</a>, <a href="/search/cs?searchtype=author&amp;query=Krill%2C+B">B. Krill</a>, <a href="/search/cs?searchtype=author&amp;query=Lauritsen%2C+J">J. Lauritsen</a>, <a href="/search/cs?searchtype=author&amp;query=Lippert%2C+T">T. Lippert</a>, <a href="/search/cs?searchtype=author&amp;query=Maurer%2C+T">T. Maurer</a>, <a href="/search/cs?searchtype=author&amp;query=Mendl%2C+B">B. Mendl</a>, <a href="/search/cs?searchtype=author&amp;query=Meyer%2C+N">N. Meyer</a>, <a href="/search/cs?searchtype=author&amp;query=Nobile%2C+A">A. Nobile</a>, <a href="/search/cs?searchtype=author&amp;query=Ouda%2C+I">I. Ouda</a>, <a href="/search/cs?searchtype=author&amp;query=Pivanti%2C+M">M. Pivanti</a>, <a href="/search/cs?searchtype=author&amp;query=Pleiter%2C+D">D. Pleiter</a>, <a href="/search/cs?searchtype=author&amp;query=Ries%2C+M">M. Ries</a>, <a href="/search/cs?searchtype=author&amp;query=Sch%C3%A4fer%2C+A">A. Sch盲fer</a> , et al. (10 additional authors not shown) </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="0911.2174v3-abstract-short" style="display: inline;"> QPACE is a novel parallel computer which has been developed to be primarily used for lattice QCD simulations. The compute power is provided by the IBM PowerXCell 8i processor, an enhanced version of the Cell processor that is used in the Playstation 3. The QPACE nodes are interconnected by a custom, application optimized 3-dimensional torus network implemented on an FPGA. To achieve the very hig&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('0911.2174v3-abstract-full').style.display = 'inline'; document.getElementById('0911.2174v3-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="0911.2174v3-abstract-full" style="display: none;"> QPACE is a novel parallel computer which has been developed to be primarily used for lattice QCD simulations. The compute power is provided by the IBM PowerXCell 8i processor, an enhanced version of the Cell processor that is used in the Playstation 3. The QPACE nodes are interconnected by a custom, application optimized 3-dimensional torus network implemented on an FPGA. To achieve the very high packaging density of 26 TFlops per rack a new water cooling concept has been developed and successfully realized. In this paper we give an overview of the architecture and highlight some important technical details of the system. Furthermore, we provide initial performance results and report on the installation of 8 QPACE racks providing an aggregate peak performance of 200 TFlops. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('0911.2174v3-abstract-full').style.display = 'none'; document.getElementById('0911.2174v3-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 23 December, 2009; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 11 November, 2009; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> November 2009. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">21 pages. Poster by T. Maurer and plenary talk by D. Pleiter presented at the &#34;XXVII International Symposium on Lattice Field Theory&#34;, July 26-31 2009, Peking University, Beijing, China. Information on recent Green500 ranking added and list of authors extended</span> </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Journal ref:</span> PoS LAT2009:001,2009 </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/cs/0502090">arXiv:cs/0502090</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/cs/0502090">pdf</a>, <a href="https://arxiv.org/ps/cs/0502090">ps</a>, <a href="https://arxiv.org/format/cs/0502090">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Distributed, Parallel, and Cluster Computing">cs.DC</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Operating Systems">cs.OS</span> </div> </div> <p class="title is-5 mathjax"> UNICORE - From Project Results to Production Grids </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&amp;query=Streit%2C+A">A. Streit</a>, <a href="/search/cs?searchtype=author&amp;query=Erwin%2C+D">D. Erwin</a>, <a href="/search/cs?searchtype=author&amp;query=Lippert%2C+T">Th. Lippert</a>, <a href="/search/cs?searchtype=author&amp;query=Mallmann%2C+D">D. Mallmann</a>, <a href="/search/cs?searchtype=author&amp;query=Menday%2C+R">R. Menday</a>, <a href="/search/cs?searchtype=author&amp;query=Rambadt%2C+M">M. Rambadt</a>, <a href="/search/cs?searchtype=author&amp;query=Riedel%2C+M">M. Riedel</a>, <a href="/search/cs?searchtype=author&amp;query=Romberg%2C+M">M. Romberg</a>, <a href="/search/cs?searchtype=author&amp;query=Schuller%2C+B">B. Schuller</a>, <a href="/search/cs?searchtype=author&amp;query=Wieder%2C+P">Ph. Wieder</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="cs/0502090v1-abstract-short" style="display: inline;"> The UNICORE Grid-technology provides a seamless, secure and intuitive access to distributed Grid resources. In this paper we present the recent evolution from project results to production Grids. At the beginning UNICORE was developed as a prototype software in two projects funded by the German research ministry (BMBF). Over the following years, in various European-funded projects, UNICORE evolv&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('cs/0502090v1-abstract-full').style.display = 'inline'; document.getElementById('cs/0502090v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="cs/0502090v1-abstract-full" style="display: none;"> The UNICORE Grid-technology provides a seamless, secure and intuitive access to distributed Grid resources. In this paper we present the recent evolution from project results to production Grids. At the beginning UNICORE was developed as a prototype software in two projects funded by the German research ministry (BMBF). Over the following years, in various European-funded projects, UNICORE evolved to a full-grown and well-tested Grid middleware system, which today is used in daily production at many supercomputing centers worldwide. Beyond this production usage, the UNICORE technology serves as a solid basis in many European and International research projects, which use existing UNICORE components to implement advanced features, high level services, and support for applications from a growing range of domains. In order to foster these ongoing developments, UNICORE is available as open source under BSD licence at SourceForge, where new releases are published on a regular basis. This paper is a review of the UNICORE achievements so far and gives a glimpse on the UNICORE roadmap. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('cs/0502090v1-abstract-full').style.display = 'none'; document.getElementById('cs/0502090v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 24 February, 2005; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> February 2005. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">21 pages, 3 figures</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/hep-lat/0307015">arXiv:hep-lat/0307015</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/hep-lat/0307015">pdf</a>, <a href="https://arxiv.org/ps/hep-lat/0307015">ps</a>, <a href="https://arxiv.org/format/hep-lat/0307015">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="High Energy Physics - Lattice">hep-lat</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Distributed, Parallel, and Cluster Computing">cs.DC</span> </div> </div> <p class="title is-5 mathjax"> On the scaling of computational particle physics codes on cluster computers </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&amp;query=Sroczynski%2C+Z">Z. Sroczynski</a>, <a href="/search/cs?searchtype=author&amp;query=Eicker%2C+N">N. Eicker</a>, <a href="/search/cs?searchtype=author&amp;query=Lippert%2C+T">Th. Lippert</a>, <a href="/search/cs?searchtype=author&amp;query=Orth%2C+B">B. Orth</a>, <a href="/search/cs?searchtype=author&amp;query=Schilling%2C+K">K. Schilling</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="hep-lat/0307015v2-abstract-short" style="display: inline;"> Many appplications in computational science are sufficiently compute-intensive that they depend on the power of parallel computing for viability. For all but the &#34;embarrassingly parallel&#34; problems, the performance depends upon the level of granularity that can be achieved on the computer platform. Our computational particle physics applications require machines that can support a wide range of&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('hep-lat/0307015v2-abstract-full').style.display = 'inline'; document.getElementById('hep-lat/0307015v2-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="hep-lat/0307015v2-abstract-full" style="display: none;"> Many appplications in computational science are sufficiently compute-intensive that they depend on the power of parallel computing for viability. For all but the &#34;embarrassingly parallel&#34; problems, the performance depends upon the level of granularity that can be achieved on the computer platform. Our computational particle physics applications require machines that can support a wide range of granularities, but in general, compute-intensive state-of-the-art projects will require finely grained distributions. Of the different types of machines available for the task, we consider cluster computers. The use of clusters of commodity computers in high performance computing has many advantages including the raw price/performance ratio and the flexibility of machine configuration and upgrade. Here we focus on what is usually considered the weak point of cluster technology; the scaling behaviour when faced with a numerically intensive parallel computation. To this end we examine the scaling of our own applications from numerical quantum field theory on a cluster and infer conclusions about the more general case. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('hep-lat/0307015v2-abstract-full').style.display = 'none'; document.getElementById('hep-lat/0307015v2-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 10 July, 2003; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 9 July, 2003; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> July 2003. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">26pp. LaTeX2e using package graphicx. 16 PostScript figures</span> </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Report number:</span> LTH 583 </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/cs/0303016">arXiv:cs/0303016</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/cs/0303016">pdf</a>, <a href="https://arxiv.org/ps/cs/0303016">ps</a>, <a href="https://arxiv.org/format/cs/0303016">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Distributed, Parallel, and Cluster Computing">cs.DC</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Hardware Architecture">cs.AR</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="High Energy Physics - Lattice">hep-lat</span> </div> </div> <p class="title is-5 mathjax"> Fast Parallel I/O on Cluster Computers </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&amp;query=Duessel%2C+T">Thomas Duessel</a>, <a href="/search/cs?searchtype=author&amp;query=Eicker%2C+N">Norbert Eicker</a>, <a href="/search/cs?searchtype=author&amp;query=Isaila%2C+F">Florin Isaila</a>, <a href="/search/cs?searchtype=author&amp;query=Lippert%2C+T">Thomas Lippert</a>, <a href="/search/cs?searchtype=author&amp;query=Moschny%2C+T">Thomas Moschny</a>, <a href="/search/cs?searchtype=author&amp;query=Neff%2C+H">Hartmut Neff</a>, <a href="/search/cs?searchtype=author&amp;query=Schilling%2C+K">Klaus Schilling</a>, <a href="/search/cs?searchtype=author&amp;query=Tichy%2C+W">Walter Tichy</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="cs/0303016v1-abstract-short" style="display: inline;"> Today&#39;s cluster computers suffer from slow I/O, which slows down I/O-intensive applications. We show that fast disk I/O can be achieved by operating a parallel file system over fast networks such as Myrinet or Gigabit Ethernet. In this paper, we demonstrate how the ParaStation3 communication system helps speed-up the performance of parallel I/O on clusters using the open source parallel virtua&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('cs/0303016v1-abstract-full').style.display = 'inline'; document.getElementById('cs/0303016v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="cs/0303016v1-abstract-full" style="display: none;"> Today&#39;s cluster computers suffer from slow I/O, which slows down I/O-intensive applications. We show that fast disk I/O can be achieved by operating a parallel file system over fast networks such as Myrinet or Gigabit Ethernet. In this paper, we demonstrate how the ParaStation3 communication system helps speed-up the performance of parallel I/O on clusters using the open source parallel virtual file system (PVFS) as testbed and production system. We will describe the set-up of PVFS on the Alpha-Linux-Cluster-Engine (ALiCE) located at Wuppertal University, Germany. Benchmarks on ALiCE achieve write-performances of up to 1 GB/s from a 32-processor compute-partition to a 32-processor PVFS I/O-partition, outperforming known benchmark results for PVFS on the same network by more than a factor of 2. Read-performance from buffer-cache reaches up to 2.2 GB/s. Our benchmarks are giant, I/O-intensive eigenmode problems from lattice quantum chromodynamics, demonstrating stability and performance of PVFS over Parastation in large-scale production runs. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('cs/0303016v1-abstract-full').style.display = 'none'; document.getElementById('cs/0303016v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 19 March, 2003; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> March 2003. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">22 pages, 10 figures</span> </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">ACM Class:</span> B.4.3; C.1.2; C.2.2; D.4.3 </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/cs/9809105">arXiv:cs/9809105</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/cs/9809105">pdf</a>, <a href="https://arxiv.org/ps/cs/9809105">ps</a>, <a href="https://arxiv.org/format/cs/9809105">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Mathematical Software">cs.MS</span> </div> </div> <p class="title is-5 mathjax"> Hyper-Systolic Matrix Multiplication </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&amp;query=Lippert%2C+T">Thomas Lippert</a>, <a href="/search/cs?searchtype=author&amp;query=Petkov%2C+N">Nikolay Petkov</a>, <a href="/search/cs?searchtype=author&amp;query=Palazzari%2C+P">Paolo Palazzari</a>, <a href="/search/cs?searchtype=author&amp;query=Schilling%2C+K">Klaus Schilling</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="cs/9809105v1-abstract-short" style="display: inline;"> A novel parallel algorithm for matrix multiplication is presented. The hyper-systolic algorithm makes use of a one-dimensional processor abstraction. The procedure can be implemented on all types of parallel systems. It can handle matrix-vector multiplications as well as transposed matrix products. </span> <span class="abstract-full has-text-grey-dark mathjax" id="cs/9809105v1-abstract-full" style="display: none;"> A novel parallel algorithm for matrix multiplication is presented. The hyper-systolic algorithm makes use of a one-dimensional processor abstraction. The procedure can be implemented on all types of parallel systems. It can handle matrix-vector multiplications as well as transposed matrix products. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('cs/9809105v1-abstract-full').style.display = 'none'; document.getElementById('cs/9809105v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 24 September, 1998; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> September 1998. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">29 pages, 13 figures</span> </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Report number:</span> HLRZ1998-59 <span class="has-text-black-bis has-text-weight-semibold">ACM Class:</span> D.1.3; G.4 </p> </li> </ol> <div class="is-hidden-tablet"> <!-- 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