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<p class="p1"><span style="font-size:11.0pt;font-family:"Arial",sans-serif"><img width="128" height="44" style="width:1.3333in;height:.4583in" id="Picture_x0020_1" src="cid:image001.jpg@01DABCD5.9BADB740"><o:p></o:p></span></p>
<p class="p2"><span style="font-size:11.0pt;color:windowtext"><o:p> </o:p></span></p>
<p class="p3"><span class="s1"><span style="font-size:11.0pt">************ Call for Papers ************</span></span><span class="apple-converted-space"><span style="font-size:11.0pt"> </span></span><span style="font-size:11.0pt;color:windowtext"><o:p></o:p></span></p>
<p class="p2"><span style="font-size:11.0pt;color:windowtext"><o:p> </o:p></span></p>
<p class="p3"><span class="s1"><span style="font-size:11.0pt">------------------------------------------------------------------------------------------</span></span><span style="font-size:11.0pt;color:windowtext"><o:p></o:p></span></p>
<p class="p3"><span class="s1"><span style="font-size:11.0pt">The 9th International Parallel Data Systems Workshop</span></span><span class="apple-converted-space"><span style="font-size:11.0pt">
</span></span><span class="s1"><span style="font-size:11.0pt">(PDSW¡¦ 24)</span></span><span style="font-size:11.0pt;color:windowtext"><o:p></o:p></span></p>
<p class="p3"><span class="s1"><span style="font-size:11.0pt">------------------------------------------------------------------------------------------</span></span><span style="font-size:11.0pt;color:windowtext"><o:p></o:p></span></p>
<p class="p2"><span style="font-size:11.0pt;color:windowtext"><o:p> </o:p></span></p>
<p class="p3"><span class="s2"><span style="font-size:11.0pt"><a href="http://www.pdsw.org/"><span style="color:black">http://www.pdsw.org</span></a>/</span></span><span style="font-size:11.0pt;color:windowtext"><o:p></o:p></span></p>
<p class="p3"><span class="s1"><span style="font-size:11.0pt">November 17, 2024 9:00 AM - 5:00 PM</span></span><span style="font-size:11.0pt;color:windowtext"><o:p></o:p></span></p>
<p class="p2"><span style="font-size:11.0pt;color:windowtext"><o:p> </o:p></span></p>
<p class="p3"><span class="s1"><span style="font-size:11.0pt">Held in conjunction with SC24, Atlanta, GA</span></span><span style="font-size:11.0pt;color:windowtext"><o:p></o:p></span></p>
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<p class="p4"><span class="s1"><b><span style="font-size:11.0pt">General Chair</span></b></span><span style="font-size:11.0pt"><o:p></o:p></span></p>
<p class="p5"><span class="s1"><span style="font-size:11.0pt">Bing Xie, Microsoft, USA</span></span><span style="font-size:11.0pt"><o:p></o:p></span></p>
<p class="p4"><span class="s1"><b><span style="font-size:11.0pt"> </span></b></span><span style="font-size:11.0pt"><o:p></o:p></span></p>
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<p class="p4"><span class="s1"><b><span style="font-size:11.0pt">Program Co-Chairs</span></b></span><span style="font-size:11.0pt"><o:p></o:p></span></p>
<p class="p5"><span class="s1"><span style="font-size:11.0pt">Suren Byna, The Ohio State University, USA</span></span><span style="font-size:11.0pt"><o:p></o:p></span></p>
<p class="p5"><span class="s1"><span style="font-size:11.0pt">Anthony Kougkas, Illinois Institute of Technology, USA</span></span><span style="font-size:11.0pt"><o:p></o:p></span></p>
<p class="p5"><span class="s1"><span style="font-size:11.0pt"> </span></span><span style="font-size:11.0pt"><o:p></o:p></span></p>
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<p class="p4"><span class="s1"><b><span style="font-size:11.0pt">Reproducibility Co-Chairs</span></b></span><span style="font-size:11.0pt"><o:p></o:p></span></p>
<p class="p5"><span class="s1"><span style="font-size:11.0pt">Jean Luca Bez, Lawrence Berkeley National Laboratory, USA</span></span><span style="font-size:11.0pt"><o:p></o:p></span></p>
<p class="p5"><span class="s1"><span style="font-size:11.0pt">Radita Liem, RWTH Aachen University, Germany</span></span><span style="font-size:11.0pt"><o:p></o:p></span></p>
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<p class="p4"><span class="s1"><b><span style="font-size:11.0pt">Publicity Chair</span></b></span><span style="font-size:11.0pt"><o:p></o:p></span></p>
<p class="p5"><span class="s1"><span style="font-size:11.0pt">Qian Gong, Oak Ridge National Laboratory, USA</span></span><span style="font-size:11.0pt"><o:p></o:p></span></p>
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<p class="p4"><span class="s1"><b><span style="font-size:11.0pt"> </span></b></span><span style="font-size:11.0pt"><o:p></o:p></span></p>
</td>
<td width="337" valign="top" style="width:252.85pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0in 0in 0in 0in">
<p class="p5"><span class="s1"><span style="font-size:11.0pt"> </span></span><span style="font-size:11.0pt"><o:p></o:p></span></p>
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<p class="p5"><span class="s3"><b><span style="font-size:11.0pt">Web Chair</span></b></span><b><span style="font-size:11.0pt"><br>
</span></b><span class="s1"><span style="font-size:11.0pt">Joan Digney, Carnegie Mellon University</span></span><span style="font-size:11.0pt"><o:p></o:p></span></p>
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<td width="337" valign="top" style="width:252.85pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0in 0in 0in 0in">
<p class="p4"><span class="s1"><b><span style="font-size:11.0pt"> </span></b></span><span style="font-size:11.0pt"><o:p></o:p></span></p>
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<p class="p6"><span style="font-size:11.0pt;color:windowtext"><o:p> </o:p></span></p>
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<p class="p7"><span style="font-size:11.0pt;color:windowtext"><o:p> </o:p></span></p>
<p class="p8"><span class="s1"><span style="font-size:11.0pt">Important Dates:</span></span><span style="font-size:11.0pt;color:windowtext"><o:p></o:p></span></p>
<p class="p7"><span style="font-size:11.0pt;color:windowtext"><o:p> </o:p></span></p>
<p class="p8"><span class="s1"><span style="font-size:11.0pt">Regular Papers and Reproducibility Study Papers</span></span><span style="font-size:11.0pt;color:windowtext"><o:p></o:p></span></p>
<p class="p9"><span class="s1"><span style="font-size:11.0pt">Submissions due: Aug 2nd, 2024, 11:59 PM AoE</span></span><span style="font-size:11.0pt;color:windowtext"><o:p></o:p></span></p>
<p class="p9"><span class="s1"><span style="font-size:11.0pt">AD due: Aug 9th, 2024, 11:59 PM AoE</span></span><span style="font-size:11.0pt;color:windowtext"><o:p></o:p></span></p>
<p class="p9"><span class="s1"><span style="font-size:11.0pt">Paper Notification: Sep 6th, 2024, 11:59 PM AoE</span></span><span style="font-size:11.0pt;color:windowtext"><o:p></o:p></span></p>
<p class="p9"><span class="s1"><span style="font-size:11.0pt">Camera ready due: Sep 27th, 2024, 11:59 PM AoE</span></span><span style="font-size:11.0pt;color:windowtext"><o:p></o:p></span></p>
<p class="p9"><span class="s1"><span style="font-size:11.0pt">Final AD/AE due: Oct 15, 2024, 11:59 PM AoE</span></span><span style="font-size:11.0pt;color:windowtext"><o:p></o:p></span></p>
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<td width="308" valign="top" style="width:230.95pt;padding:2.95pt 2.95pt 2.95pt 2.95pt">
<p class="p10"><span style="font-size:11.0pt;color:windowtext"><o:p> </o:p></span></p>
<p class="p10"><span style="font-size:11.0pt;color:windowtext"><o:p> </o:p></span></p>
<p class="p10"><span style="font-size:11.0pt;color:windowtext"><o:p> </o:p></span></p>
<p class="p9"><span class="s1"><span style="font-size:11.0pt">Work in Progress (WIP)</span></span><span style="font-size:11.0pt;color:windowtext"><o:p></o:p></span></p>
<p class="p9"><span class="s1"><span style="font-size:11.0pt">Submissions due: Sept 13th, 2024, 11:59PM AoE</span></span><span style="font-size:11.0pt;color:windowtext"><o:p></o:p></span></p>
<p class="p9"><span class="s1"><span style="font-size:11.0pt">WIP Notification: On or before Sept 21st, 2024</span></span><span style="font-size:11.0pt;color:windowtext"><o:p></o:p></span></p>
<p class="p9"><span class="s1"><span style="font-size:11.0pt"> </span></span><span style="font-size:11.0pt;color:windowtext"><o:p></o:p></span></p>
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<p class="p2"><span style="font-size:11.0pt;color:windowtext"><o:p> </o:p></span></p>
<p class="p11"><span class="s1"><span style="font-size:11.0pt">We are excited to announce the 9th International Parallel Data Systems Workshop (PDSW¡¦24), to be held in conjunction with SC24: The International Conference for High Performance Computing, Networking,
Storage, and Analysis, in Atlanta, GA. PDSW¡¦24 builds upon the rich legacy of its predecessor workshops, the Petascale Data Storage Workshop (PDSW, 2006¡V2015) and the Data Intensive Scalable Computing Systems (DISCS, 2012¡V2015) workshop. Since their successful
merger in 2016, the joint workshop has drawn an average of 200 attendees annually.</span></span><span style="font-size:11.0pt;color:windowtext"><o:p></o:p></span></p>
<p class="p11"><span class="s1"><span style="font-size:11.0pt">The increasing importance of efficient data storage and management continues to drive scientific productivity across traditional simulation-based HPC environments and emerging Cloud, AI/ML, and
Big Data analysis frameworks. Challenges are compounded by the rapidly expanding volumes of experimental and observational data, the growing disparity between computational and storage hardware performance, and the rise of novel data-driven algorithms in machine
learning. This workshop aims to advance research and development by addressing the most pressing challenges in large-scale data storage and processing.</span></span><span style="font-size:11.0pt;color:windowtext"><o:p></o:p></span></p>
<p class="p11"><span class="s1"><span style="font-size:11.0pt">We invite the community to contribute original research manuscripts that introduce and evaluate novel algorithms or architectures, share significant scientific case studies or workloads, or assess
the reproducibility of previously published work. We emphasize the importance of community collaboration for problem identification, workload capture, solution interoperability, standardization, and shared tools. Authors are encouraged to provide comprehensive
experimental environment details (software versions, benchmark configurations, etc.) to promote transparency and facilitate collaborative progress.</span></span><span style="font-size:11.0pt;color:windowtext"><o:p></o:p></span></p>
<p class="p9"><span class="s1"><span style="font-size:11.0pt">Topics of Interest:</span></span><span style="font-size:11.0pt;color:windowtext"><o:p></o:p></span></p>
<p class="p3"><span style="font-size:11.0pt">¡´<span class="s1"> Scalable Architectures: Distributed data storage, archival, and virtualization.</span></span><span style="font-size:11.0pt;color:windowtext"><o:p></o:p></span></p>
<p class="p3"><span style="font-size:11.0pt">¡´<span class="s1"> New Data Processing Models and Algorithms: Application of innovative data processing models and algorithms for parallel computing and analysis.</span></span><span style="font-size:11.0pt;color:windowtext"><o:p></o:p></span></p>
<p class="p3"><span style="font-size:11.0pt">¡´<span class="s1"> Performance Analysis: Benchmarking, resource management, and workload studies.</span></span><span style="font-size:11.0pt;color:windowtext"><o:p></o:p></span></p>
<p class="p3"><span style="font-size:11.0pt">¡´<span class="s1"> Cloud and Container-Based Models: Enabling cloud and container-based frameworks for large-scale data analysis.</span></span><span style="font-size:11.0pt;color:windowtext"><o:p></o:p></span></p>
<p class="p3"><span style="font-size:11.0pt">¡´<span class="s1"> Storage Technologies: Adaptation to emerging hardware and computing models.</span></span><span style="font-size:11.0pt;color:windowtext"><o:p></o:p></span></p>
<p class="p3"><span style="font-size:11.0pt">¡´<span class="s1"> Data Integrity: Techniques to ensure data integrity, availability, reliability, and fault tolerance.</span></span><span style="font-size:11.0pt;color:windowtext"><o:p></o:p></span></p>
<p class="p3"><span style="font-size:11.0pt">¡´<span class="s1"> Programming Models and Frameworks: Big data solutions for data-intensive computing.</span></span><span style="font-size:11.0pt;color:windowtext"><o:p></o:p></span></p>
<p class="p3"><span style="font-size:11.0pt">¡´<span class="s1"> Hybrid Cloud Data Processing: Integration of hybrid cloud and on-premise data processing.</span></span><span style="font-size:11.0pt;color:windowtext"><o:p></o:p></span></p>
<p class="p3"><span style="font-size:11.0pt">¡´<span class="s1"> Cloud-Specific Opportunities: Data storage and transit opportunities specific to cloud computing.</span></span><span style="font-size:11.0pt;color:windowtext"><o:p></o:p></span></p>
<p class="p3"><span style="font-size:11.0pt">¡´<span class="s1"> Storage System Programmability: Enhancing programmability in storage systems.</span></span><span style="font-size:11.0pt;color:windowtext"><o:p></o:p></span></p>
<p class="p3"><span style="font-size:11.0pt">¡´<span class="s1"> Data Reduction Techniques: Filtering, compression, and reduction techniques for large-scale data.</span></span><span style="font-size:11.0pt;color:windowtext"><o:p></o:p></span></p>
<p class="p3"><span style="font-size:11.0pt">¡´<span class="s1"> File and Metadata Management: Parallel file systems, metadata management at scale.</span></span><span style="font-size:11.0pt;color:windowtext"><o:p></o:p></span></p>
<p class="p3"><span style="font-size:11.0pt">¡´<span class="s1"> In-Situ and In-Transit Processing: Integrating computation into the memory and storage hierarchy for in-situ and in-transit data processing.</span></span><span style="font-size:11.0pt;color:windowtext"><o:p></o:p></span></p>
<p class="p3"><span style="font-size:11.0pt">¡´<span class="s1"> Alternative Storage Models: Object stores, key-value stores, and other data storage models.</span></span><span style="font-size:11.0pt;color:windowtext"><o:p></o:p></span></p>
<p class="p3"><span style="font-size:11.0pt">¡´<span class="s1"> Productivity Tools: Tools for data-intensive computing, data mining, and knowledge discovery.</span></span><span style="font-size:11.0pt;color:windowtext"><o:p></o:p></span></p>
<p class="p3"><span style="font-size:11.0pt">¡´<span class="s1"> Data Movement: Managing data movement between compute and data-intensive components.</span></span><span style="font-size:11.0pt;color:windowtext"><o:p></o:p></span></p>
<p class="p3"><span style="font-size:11.0pt">¡´<span class="s1"> Cross-Cloud Data Management: Efficient data management across different cloud environments.</span></span><span style="font-size:11.0pt;color:windowtext"><o:p></o:p></span></p>
<p class="p3"><span style="font-size:11.0pt">¡´<span class="s1"> AI-enhanced Systems: Storage system optimization and data analytics using machine learning.</span></span><span style="font-size:11.0pt;color:windowtext"><o:p></o:p></span></p>
<p class="p3"><span style="font-size:11.0pt">¡´<span class="s1"> New Memory and Storage Systems: Innovative techniques and performance evaluation for new memory and storage systems.</span></span><span style="font-size:11.0pt;color:windowtext"><o:p></o:p></span></p>
<p class="p12"><span class="s1"><span style="font-size:11.0pt">Regular Paper Submissions</span></span><span style="font-size:11.0pt;color:windowtext"><o:p></o:p></span></p>
<p class="p11"><span class="s1"><span style="font-size:11.0pt">All submissions to the PDSW¡¦24 will undergo a rigorous double-anonymous peer review process overseen by the workshop program committee. Successful submissions will be published in the SC24 Workshop
Proceedings and featured on the workshop website alongside associated talk slides.</span></span><span style="font-size:11.0pt;color:windowtext"><o:p></o:p></span></p>
<p class="p11"><span class="s1"><span style="font-size:11.0pt">Template and Submission</span></span><span style="font-size:11.0pt;color:windowtext"><o:p></o:p></span></p>
<p class="p3"><span style="font-size:11.0pt">¡´<span class="s1"> A full paper up to 6 pages in length,
</span><span class="s2">excluding </span><span class="s1">references and AD/AE appendices.</span></span><span style="font-size:11.0pt;color:windowtext"><o:p></o:p></span></p>
<p class="p3"><span style="font-size:11.0pt">¡´<span class="s1"> Artifact Description (AD) Appendix is mandatory and Artifact Evaluation (AE) Appendix is optional.</span></span><span style="font-size:11.0pt;color:windowtext"><o:p></o:p></span></p>
<p class="p13"><span class="s1"><span style="font-size:11.0pt">¡³ Submissions with AD and AE Appendix will be considered favorably for the PDSW Best Paper award.</span></span><span style="font-size:11.0pt;color:windowtext"><o:p></o:p></span></p>
<p class="p3"><span style="font-size:11.0pt">¡´<span class="s1"> Papers must adhere to the IEEE proceedings template. Download it
<a href="https://www.ieee.org/conferences/publishing/templates.html"><span class="s2"><span style="color:black">here</span></span></a>.</span></span><span style="font-size:11.0pt;color:windowtext"><o:p></o:p></span></p>
<p class="p3"><span style="font-size:11.0pt">¡´<span class="s1"> Submit your papers by Aug 2nd, 2024 , 11:59 PM AoE to:
<a href="https://submissions.supercomputing.org/"><span class="s2"><span style="color:black">https://submissions.supercomputing.org/</span></span></a></span></span><span style="font-size:11.0pt;color:windowtext"><o:p></o:p></span></p>
<p class="p12"><span class="s1"><span style="font-size:11.0pt">Reproducibility Initiative</span></span><span style="font-size:11.0pt;color:windowtext"><o:p></o:p></span></p>
<p class="p14"><span class="s1"><span style="font-size:11.0pt">Aligned with the <a href="https://sc24.supercomputing.org/program/papers/reproducibility-initiative/">
<span class="s2"><span style="color:black">SC24 Reproducibility Initiative</span></span></a>, we encourage detailed and structured artifact descriptions (AD) using the
<a href="https://github.com/hunsa/sc24-repro"><span class="s2"><span style="color:black">SC24 format</span></span></a>. The AD should include a field for one or more links to data (zenodo, figshare, etc.) and code (Github, GitLab, Bitbucket, etc.) repositories.
For the artifacts that will be placed in the code repository, we encourage authors to follow the
<a href="https://docs.google.com/document/d/1GId9EamUYDDtlfhdhJX45NH07BB14s-x76NFF1lO9PE">
<span class="s2"><span style="color:black">PDSW 2024 Reproducibility Addendum</span></span></a> on how to structure the artifact, as it will make it easier for the reviewing committee and readers of the paper in the future.</span></span><span style="font-size:11.0pt;color:windowtext"><o:p></o:p></span></p>
<p class="p12"><span class="s1"><span style="font-size:11.0pt">Work in Progress (WIP) Session</span></span><span style="font-size:11.0pt;color:windowtext"><o:p></o:p></span></p>
<p class="p14"><span class="s1"><span style="font-size:11.0pt">The WIP session will showcase brief 5-minute presentations on ongoing work that may not yet be ready for a full paper submission. WIP papers will not be included in the proceedings. A one-page abstract
is <a href="https://submissions.supercomputing.org/"><span class="s2"><span style="color:black">required</span></span></a> for participation. WIP Submissions Due: September 13th, 2024, 11:59 PM AoE</span></span><span style="font-size:11.0pt;color:windowtext"><o:p></o:p></span></p>
<p class="p15"><span style="font-size:11.0pt;color:windowtext"><o:p> </o:p></span></p>
<p class="p1"><span class="s1"><span style="font-size:11.0pt;font-family:"Arial",sans-serif">Sincerely,</span></span><span style="font-size:11.0pt;font-family:"Arial",sans-serif"><o:p></o:p></span></p>
<p class="p1"><span class="s1"><span style="font-size:11.0pt;font-family:"Arial",sans-serif"> </span></span><span style="font-size:11.0pt;font-family:"Arial",sans-serif"><o:p></o:p></span></p>
<p class="p1"><span class="s1"><span style="font-size:11.0pt;font-family:"Arial",sans-serif">Qian Gong</span></span><span style="font-size:11.0pt;font-family:"Arial",sans-serif"><o:p></o:p></span></p>
<p class="p1"><span class="s1"><span style="font-size:11.0pt;font-family:"Arial",sans-serif">Computer Science and Mathematics Division</span></span><span style="font-size:11.0pt;font-family:"Arial",sans-serif"><o:p></o:p></span></p>
<p class="p1"><span class="s1"><span style="font-size:11.0pt;font-family:"Arial",sans-serif">Oak Ridge National Laboratory</span></span><span style="font-size:11.0pt;font-family:"Arial",sans-serif"><o:p></o:p></span></p>
<p class="p15"><span style="font-size:11.0pt;color:windowtext"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Arial",sans-serif"><o:p> </o:p></span></p>
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