<html><body><div style="font-family: arial, helvetica, sans-serif; font-size: 12pt; color: #000000"><div><div><div><div dir="auto" style="overflow-wrap: break-word;" class="" data-mce-style="overflow-wrap: break-word;"><div dir="auto" style="overflow-wrap: break-word;" class="" data-mce-style="overflow-wrap: break-word;"><div class="">Deadline for work in progress (WIP): Sep. <span class="Object" role="link" id="OBJ_PREFIX_DWT1016_com_zimbra_phone"><a href="callto:27, 2020, 11" onclick="window.top.Com_Zimbra_Phone.unsetOnbeforeunload()" data-mce-href="callto:27, 2020, 11">27, 2020, 11</a></span>:59 PM AoE</div><div class=""><div class="">Notification: On or before Oct. 1, 2020</div><div class="">Pre-recoded presentation due: Oct. 7, 2020, 11:59 PM AoE </div></div><div class="">===============================================================<br class="">The 5th International Parallel Data Systems Workshop <br class=""><span class="Object" role="link" id="OBJ_PREFIX_DWT1017_com_zimbra_url"><span class="Object" role="link" id="OBJ_PREFIX_DWT1021_com_zimbra_url"><a href="http://www.pdsw.org/" target="_blank" rel="nofollow noopener noreferrer" data-mce-href="http://www.pdsw.org/">http://www.pdsw.org/</a></span></span> <br class=""><br class="">Monday, November 16, 2020 9:00am - 5:30pm<br class=""><br class="">Held in conjunction with SC20: The International Conference for <br class="">High Performance Computing, Networking, Storage and Analysis, <br class="">In cooperation with IEEE TCHPC. <br class="">=============================================================== <br class=""><br class="">We are pleased to announce the 5th International Parallel Data Systems Workshop (PDSW’20). PDSW'20 will be hosted in conjunction with SC20: The International Conference for High Performance Computing, Networking, Storage and Analysis.<br class=""><br class="">Efficient data storage and data management are crucial to scientific productivity in both traditional simulationoriented HPC environments and Big Data analysis environments. This issue is further exacerbated by the growing volume of experimental and observational data, the widening gap between the performance of computational hardware and storage hardware, and the emergence of new data-driven algorithms in machine learning. <br class=""><br class="">The goal of this workshop is to facilitate research that addresses the most critical challenges in scientific data storage and data processing. We therefore encourage the community to submit original manuscripts that: <br class=""><br class="">- introduce and evaluate novel algorithms or architectures, <br class="">- inform the community of important scientific case studies or workloads, or <br class="">- validate the reproducibility of previously published work <br class=""><br class="">Special attention will be given to issues in which community collaboration is crucial for problem identification, workload capture, solution interoperability, standardization, and shared tools. We also strongly encourage papers to share complete experimental environment information (software version numbers, benchmark configurations, etc.) to facilitate collaboration. <br class=""><br class="">Topics of interest include the following: <br class=""><br class="">- Scalable architectures for data storage, archival, and virtualization <br class="">- Performance benchmarking, resource management, and workload studies <br class="">- Programmability of storage systems <br class="">- Parallel file systems, metadata management, and complex data management <br class="">- Alternative data storage models, including object stores and key-value stores <br class="">- Programming models and frameworks for data intensive computing <br class="">- Techniques for data integrity, availability, reliability, and fault tolerance <br class="">- Productivity tools for data intensive computing, data mining, and knowledge discovery <br class="">- Application of emerging big data frameworks towards scientific computing and analysis <br class="">- Enabling cloud and container-based models for scientific data analysis <br class="">- Data filtering/compressing/reduction techniques <br class="">- Tools and techniques for managing data movement among compute and data intensive components <br class="">- Integrating computation into the memory and storage hierarchy to facilitate in-situ and in-transit data processing <br class=""><br class=""><br class="">Work-in-progress (WIP) Submissions <br class="">-------------------------------------------------- <br class="">There will be a WIP session where presenters provide brief 5-minute talks on their on-going work, with fresh problems/solutions. WIP content is typically material that may not be mature or complete enough for a full paper submission and will not be included in the proceedings. Authors are invited to submit a one-page abstract or a 5-minutes pre-recorded presentation (voice over PowerPoint). Please use the IEEE conference paper template when preparing the one-page abstract. Feel free to condense the author list contents to offer more space<br class=""><br class=""></div><div class="">Please email your submission as a PDF attachment of the one-page abstract OR as a link to your pre-recorded presentation to Shadi Ibrahim <<span class="Object" role="link" id="OBJ_PREFIX_DWT1018_ZmEmailObjectHandler"><span class="Object" role="link" id="OBJ_PREFIX_DWT1022_ZmEmailObjectHandler"><a href="mailto:shadi.ibrahim@inria.fr" target="_blank" rel="nofollow noopener noreferrer" data-mce-href="mailto:shadi.ibrahim@inria.fr">shadi.ibrahim@inria.fr</a></span></span>> and Kento Sato <<span class="Object" role="link" id="OBJ_PREFIX_DWT1019_ZmEmailObjectHandler"><span class="Object" role="link" id="OBJ_PREFIX_DWT1023_ZmEmailObjectHandler"><a href="mailto:kento.sato@riken.jp" target="_blank" rel="nofollow noopener noreferrer" data-mce-href="mailto:kento.sato@riken.jp">kento.sato@riken.jp</a></span></span>>. Put "PDSW 2020 WIP" as the first part of the message subject. <br class=""><br class=""><br class="">Important Dates<br class="">----------------------<br class="">Work in Progress (WIP):<br class="">- Submissions due: Sep. <span class="Object" role="link" id="OBJ_PREFIX_DWT1020_com_zimbra_phone"><a href="callto:27, 2020, 11" onclick="window.top.Com_Zimbra_Phone.unsetOnbeforeunload()" data-mce-href="callto:27, 2020, 11">27, 2020, 11</a></span>:59 PM AoE</div><div class="">- WIP Notification: On or before Oct. 1, 2020</div><div class="">- Pre-recoded presentation due: Oct. 7, 2020, 11:59 PM AoE <br class=""><br class=""><br class="">Workshop Organisers <br class="">------------------------------<br class="">General Chair:<br class="">- Philip Carns, Argonne National Laboratory, USA<br class=""><br class="">Program Chair:<br class="">- Shadi Ibrahim, Inria, France<br class=""><br class="">Program Vice Chair: <br class="">- Kento Sato, Riken, Japan<br class=""><br class="">Reproducibility Co-Chairs: <br class="">- Carlos Maltzahn, University of California, Santa Cruz, USA <br class="">- Ivo Jimenez, University of California, Santa Cruz, USA<br class=""><br class="">Publicity Chair:<br class="">- Thomas Lambert, Inria, France<br class=""><br class="">Web and Proceedings Chair:<br class="">- Joan Digney, Carnegie Mellon University, USA</div><div class=""><br class=""></div><div class=""><br data-mce-bogus="1"></div></div></div></div></div></div></div></body></html>