Paderborn Center for Parallel Computing (PC2) is a central scientific institute of Paderborn University focused on advancing interdisciplinary research in parallel computing and computational sciences. PC2 provides HPC infrastructure and services for academic users.

Paderborn Center for Parallel Computing (PC2)

Paderborn Center for Parallel Computing | 323 followers on LinkedIn. The Paderborn Center for Parallel Computing is Paderborn University&#39;s interdisciplinary research center for innovative high-performance computing.

Professor at Paderborn University

Christian Plessl

Managing Director at Agilent Technologies

Santi Avilla

HPC domain advisor for theoretical physics and chemistry at Paderborn University

Robert Schade

Teamassistentin bei Universität Paderborn

Michaela Kemper

Paderborn Center for Parallel Computing

I am excited to share our latest publication, for which we combined experimental quantum optics and high-performance computing. Thanks to our colleagues from the Paderborn Center for Parallel Computing , especially Robert Schade , we developed a scalable quantum detector tomography solver. 🖥️ This solver can reconstruct one hundred million matrix elements based on our experimental data set to characterize our large scale quantum photonic detector. Thanks to a highly efficient parallel scaling, we demonstrated the reconstruction of a matrix with trillions of elements. 📝 Check out the open access paper here: https://lnkd.in/dwakbdjD #HPC #Quantum #PC2 #UniPaderborn #PhoQS #BartleyGroup

Timon Schapeler

With the announcement of the AMD EPYC 5th Gen. “Turin” processors, we are particularly pleased to announce that the new supercomputer at Paderborn Center for Parallel Computing will be equipped with this cutting-edge technology. The system provided by Lenovo and pro-com DATENSYSTEME GmbH will be one of the first in Germany to use the AMD Turin architecture and will be delivered to Universität Paderborn - Paderborn University in late November/early December. 💡 Technical highlights: - Lenovo ThinkSystem SD655 V3 HPC system with direct liquid cooling - 1,466 AMD EPYC Turin CPUs with 96 cores (over 140,000 cores in total!) - 611 TB RAM - 108 NVIDIA H100 GPUs - 435 NVMe storage + 5.4 PB HDD storage The new AMD EPYC processors efficiently increase performance while reducing space and power requirements, freeing up valuable resources for new or expanded workloads. From 2025, a large part of the supercomputer will be available for use in the National High Performance Computing (NHR) alliance and will support cutting-edge research throughout Germany, including in atomistic simulations. The system is designed to run for at least 5 years. Preparations for the system are already underway, and the unit for hot water cooling has already been installed. We look forward to the upcoming innovations! #HPC #AMD #Technology #PC2 #Lenovo

Azubi an einer Universität - Geht das denn? UND OB! Die Universität Paderborn bietet mehr als zehn spannende Ausbildungsberufe an. Das PC2 bietet u.a. eine sehr spannende Ausbildung ganz nah an einem der größten Hochleistungsrechner in NRW an. Falls wir Euer Interesse geweckt haben, solltet Ihr Eure Bewerbung bis zum 11. Okober 2024 an uns gesendet habe. Kontaktdaten findet Ihr im u.a. Link. https://lnkd.in/d9n8SENq

The NHR Graduate School funds doctoral scholarships in the field of High-Performance Computing. We are looking for interested candidates who will complete their Master's degree by the end of 2024 and are interested in pursuing a PhD at the intersection of innovative computer architecture (especially FPGAs and GPUs) and applications in scientific computing. Example topics can be found on the NHR Graduate School website. But we are also open to other topics in the scientific focus areas of my research group at Paderborn University and the Paderborn Center for Parallel Computing

Our PhD student Lennart Van Hirtum has released the first version of the compiler for the SUS Hardware Description Language. The goal of this language is to raise the abstraction level of hardware design with a special focus on highly pipelined, high throughput designs. At the same time, the language keeps the developer in control by explicitly not following a high-level synthesis approach.

https://lnkd.in/gpZx83qT Große Rechenzentren sind aus unserem Alltag oft nicht mehr wegzudenken. Daten für Videokonferenzen, Livestreaming und Video-on-demand werden zum Beispiel Tag für Tag in riesigen Mengen verarbeitet und schnellstmöglich an Endgeräte übertragen. Unternehmen speichern und verarbeiten viele Daten, um uns unsere liebsten Services direkt auf Smartphone & Co. anbieten zu können. Auch die Forschung kann durch spezialisierte Rechenleistung unterstützt werden. Bei einem Besuch des Paderborn Center for Parallel Computing, dem Hochleistungsrechenzentrum der Universität Paderborn erleben Sie diese Technik hautnah. Vereinbaren Sie jetzt einen Termin mit uns und kommen Sie in den Genuss einer fachkundigen Führung durch eines der modernsten Forschungsrechenzentren Deutschlands!

🎉We are pleased to announce that NHR now hosts a chapter of Women in HPC (WHPC). The NHR|WHPC chapter is dedicated to empowering women and minorities in the scientific high performance computing community in Germany. In keeping with NHR's mandate, our primary focus is to connect and support the users and staff of NHR and HPC scientists of German universities. We also welcome all other supporters of WHPC who are active in Germany. 💻💪🏽Join us and become a member of NHR|WHPC free of charge and register to our mailinglist to stay informed about the latest news. Together, we can create a more inclusive and diverse community in the field of high performance computing. Visit our website to learn more about our initiative and how you can get involved: https://lnkd.in/d6yFEVX2 #WomeninHPC #WHPC #WomenInTech #NHRVerein #Empowerment

NHR-Verein, NHR-Alliance

We are seeking a "Lab Engineer for FPGA Infrastructure (m/f/d)" to join our National High Performance Computing Center (NHR) at Paderborn Center for Parallel Computing. This full-time, fixed-term position until December 31, 2027, involves developing new systems for monitoring FPGA nodes, maintaining automation, conducting systematic function tests, and more. We offer a collaborative and family-friendly work environment with diverse opportunities. Apply by June 28, 2024, and help shape the future with us! For more information and to apply, visit https://lnkd.in/eUHYhWNh

msh id	DE:UNI-PADERBORN:PC2
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name	Paderborn Center for Parallel Computing (PC2)
homepage url	https://pc2.uni-paderborn.de
country	DE
sector	Technology
industry	Research and Development
market	PRIVATE
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DE:UNI-PADERBORN:PC2

Paderborn Center for Parallel Computing (PC2)

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