Paderborn Center for Parallel Computing

Welcome to the Paderborn Center for Parallel Computing (PC2). We are a central scientific institute of Paderborn University with the mission to advance interdisciplinary research in parallel computing and computational sciences with novel methods and innovative computer systems. As a National High-Performance Computing Center we provide HPC infrastructure and services for academic users. We are members of the national HPC association NHR, Gauß Alliance, and the regional HPC.NRW competence network of North Rhine-Westphalia.

→ About PC2

 

Job Of­fers

Postdoc as HPC expert (f/m/d) for atomistic simulation - Focus on Plane-Wave DFT

This full-time, 3-year position involves collaborative R&D, user support, course organization, and infrastructure enhancement. Requirements include a PhD in theoretical solid-state physics, chemistry, or material sciences, expertise in DFT, HPC simulation experience, and excellent English skills.

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Postdoc as HPC expert (f/m/d) for quantum chemistry

This full-time, 3-year position involves collaborative R&D, user support for quantum chemistry calculations, course organization, and infrastructure enhancement. Requirements include a PhD in theoretical solid-state physics, chemistry, or material sciences, expertise in quantum chemistry, HPC experience, and excellent English skills.

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Software IT-Spezialist (w/m/d)

Diese unbefristete Vollzeitstelle umfasst unter anderem die Unterstützung bei der Pflege und Weiterentwicklung des internen Projektmanagementsystems, des Webportals für Nutzerinnen und Nutzer, des NHR-weiten Antragssystems für Rechenzeit, des JupyterHub sowie weiterer innovativer IT-Dienste im HPC-Umfeld.

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Ausbildung zum Fachinformatiker Systemintegration (w/m/d)

In der Universität Paderborn wird zum 1. August 2025 folgender Ausbildungsberuf besetzt: Fachinformatiker*in, Fachrichtung Systemintegration (w/m/d) Ausbildungsdauer: 3 Jahre Voraussetzungen erwünscht: guter Realschulabschluss, gute Englischkenntnisse, grundlegende PC-Kenntnisse, gute Auffassungsgabe

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Research assistant (f/m/d) as IT project manager in the domain of HPC

This full-time position is initially limited to 3 years. Responsibilities include coordinating projects for HPC.NRW, improving access of HPC resources, and collaborating with HPC.NRW sites. Required: degree in computer science, chemistry, physics or similar, project management experience, HPC expertise, and proficiency in German and English.

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Research assistant (f/m/d) in the field of research data management

This full-time position is initially limited to 3 years. Responsibilities include coordinating RDM activities within HPC.NRW and NFDIxCS projects, automating & standardizing metadata collection and supporting data migration. Required: degree in computer science, chemistry, physics or similar, RDM expertise, and proficiency in German and English.

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HPC expert (f/m/d) for Scientific Machine Learning

This full-time, 3-year position involves developing ML infrastructure, evaluating hardware accelerations, organizing ML courses and workshops, supporting PC2 users, and conducting ML research. Required: PhD in computational sciences, advanced ML and AI knowledge, experience with ML toolkits, HPC experience, and proficiency in German and English.

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Research assistant (f/m/d) in High-Performance Computing (HPC)

This full-time position is initially limited to 3 years. Responsibilities include project-based research in areas such as FPGA computing, approximate computing, and advanced computer architectures. Requirements: degree in computer science or related field, knowledge of parallel architectures and programming, and excellent English skills.

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Research assistant (f/m/d)

This full-time position is initially limited to 3 years. Responsibilities include developing FPGA designs using C++-based synthesis tools and maintaining performance models. Requirements: Master's in computational sciences or related fields, FPGA programming or numerical solvers expertise, and proficiency in German and English.

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Web developer (f/m/d)

This full-time, 3-year position involves implementing our HPC Service Portal, ensuring seamless integration and functionality from development through to operational deployment. Required: expertise in HTML5, JavaScript, CSS, GraphQL/RESTful APIs, Python, Linux, Git, and proficiency in German and English.

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Student assistants (f/m/d) or research assistants with a Bachelor's degree (f/m/d)

Assist in research on HPC, focusing on accelerator architectures like FPGAs, GPUs, and Many-Cores. Ideal candidates have strong C/C++ programming skills, knowledge of parallel programming, and are pursuing a degree in Computer Science or related fields. Enjoy flexible hours, engaging projects, and opportunities for further academic work.

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News

In­tro­duc­ti­on to Ju­lia for High Per­for­mance Com­pu­ting

A three-day course on "Introduction to Julia for High Performance Computing" took place on Sept. 17 to 19, 2024. The course was a hybrid event with about 35 on-site participants and more than 50 online participants from all over Germany.

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PC2 Hosts Se­cond Hacka­thon to Tack­le High-Per­for­mance Com­pu­ting Chal­len­ges

From the 26th to the 29th of August 2024, the Paderborn Center for Parallel Computing (PC2) hosted its second annual hackathon, bringing together researchers with diverse scientific backgrounds to collaborate on innovative High-Performance Computing (HPC) projects.

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NHR Quan­tum Ma­chi­ne Lear­ning Tu­to­ri­al at ISC'24

On 12th May 2024, the NHR Quantum Machine Learning Tutorial took place at ISC’24 in Hamburg. The tutorial was scheduled for a full-day and collaborated between three NHR centers in Germany: Paderborn Center for Parallel Computing (PC2), NHR-Nord@Göttingen, and NHR@ZIB.

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Events

04.09.2024 - 04.09.2024

Be­su­cher­füh­rung im HPC-Re­chen­zen­trum der Uni­ver­si­tät Pa­der­born

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26.08.2024 - 29.08.2024

PC2 Hacka­thon 2024: An­noun­ce­ment and Re­gis­tra­ti­on

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Weitere Veranstaltungen

Sys­tems, Ser­vices and In­fra­s­truc­ture

We operate multiple, HPC systems (x86-Linux clusters) with high-bandwidth interconnect, parallel file systems, and persistent storage systems. Our current main HPC systems are Noctua 1 (Cray CS500) and Noctua 2 (Atos/Bull Sequana XH2000) that provide more than 150,000 CPU cores, 160 GPUs, 80 FPGAs, high-speed parallel file systems, and multiple PB for storage and archival of research data. The systems can be accessed using traditional remote SSH access with workload management for batch operation but we also offer access via JupyterHub for interactive use and explorative data analysis. Our modern HPC data center facility is specifically tailored to reliable operating HPC systems while achieving the highest level of energy efficiency and sustainability.

→ Learn more about what we offer

Sys­tem Ac­cess

Our services are available to any researcher from a Germany university. For collaborations in our scientific and technological focus areas we also provide access to selected international researchers. Access is granted based on the submission and peer review of a project proposal that describes the planned research and computing resource demands. Smaller scale projects are evaluate on a rolling basis with short turnaround times. Larger scale projects are evaluated as part of the nation-wide joint resource allocation process by the NHR association. On a positive evaluation, access is provided free of charge.

→ Submit your application for system access

Sup­port

Our documentation offers extensive guidance on using the HPC infrastructure, with email support and expert advice available for additional assistance.

→ Get help and documentation

Trai­ning and Con­sul­ting

We accompany and support our users in all phases of their computational research projects, from the submission of the computing time request, to the effective use of scientific software, the automation of workflows and the archiving of research data. Our regularly offered training program ranges from basic courses on the use of HPC systems to advanced techniques of optimization for parallel programs for software developers. In addition,  we offer comprehensive documentation, email support and regular consultation hours.

To specifically support researchers in the focus areas of our center, we offer in-depth, topic-specific workshops, summer schools and hackathons. Selected research projects are also supported by intensive support within the framework of collaborations, for example to develop improved methods together with users or to explore new technologies.

→ Improve your skills and your HPC experience

Re­sea­rch

Our infrastructure is available for research in all application areas. To provide in-depth support and scientific expertise in selected domains, we have specialized in atomistic simulations in solid state physics and chemistry. In these areas we also contribute to the development of new, highly scalable simulation methods and implement them in open source software and libraries. Our technological focus is on massively parallel and particularly energy-efficient HPC using hardware accelerators based on FPGA and GPU.

→ Learn more about our research and the results of our users

Te­a­ching

The broad application of computer-aided methods and the combination of model- and data-driven processes for modeling, simulation and analysis in scientific applications can be found in numerous departments of the university. We support these activities in teaching with our infrastructure and also contribute to the range of courses and further qualification opportunities, especially for young scientists.

→ Learn more about lectures, project groups and theses

Con­tact

Paderborn Center for Parallel Computing (PC2)

Raum X1.105
Universität Paderborn
Mersinweg 5
33100 Paderborn