Computing

Publications and proceedings of conferences (2008–Now)

1. Kumara, I., Lazzaro, A., Mujkanovic, N., Vasileiou, Z., Tamburri, D.A. (2022). Quality Assurance and Design-Time Optimization. In: Di Nitto, E., Gorroñogoitia Cruz, J., Kumara, I., Radolović, D., Tokmakov, K., Vasileiou, Z. (eds) Deployment and Operation of Complex Software in Heterogeneous Execution Environments. SpringerBriefs in Applied Sciences and Technology (2022). Springer, Cham. https://doi.org/10.1007/978-3-031-04961-3_4.

2. Towards electronic structure-based ab-initio molecular dynamics simulations with hundreds of millions of atoms, R. Schade et al., Parallel Computing, Volume 111 (2022), 102920, ISSN 0167-8191, https://doi.org/10.1016/j.parco.2022.102920.

3. Charousset-Brignol et al., Synergistic approach of multi-energy models for a European optimal energy system management tool, Project Reposit. J. 9, 113–116 (2021). https://opus4.kobv.de/opus4-zib/frontdoor/index/index/docId/8570

4. HPC application optimisation in SODALITE, D. Vladusic et al., proceedings of the 14th ACM International Conference on Systems and Storage (SYSTOR '21). Association for Computing Machinery, New York, NY, USA, Article 23, 1 (2021). DOI:https://doi.org/10.1145/3456727.3463829

5. Optimising AI Training Deployments using Graph Compilers and Containers, N. Mujkanovic et al, proceeding of 2020 IEEE High Performance Extreme Computing Virtual Conference, 21-25 September 2020, arXiv:2008.11675

6. The CECAM electronic structure library and the modular software development paradigm, M. J. T. Oliveira et al, The Journal of Chemical Physics 153 (2), 024117, 2020, arXiv:2005.05756

7. CP2K: An Electronic Structure and Molecular Dynamics Software Package I. Quickstep: Efficient and Accurate Electronic Structure Calculations, T. D. Kühne et al, The Journal of Chemical Physics 152 (19), 194103, 2020, arXiv:2003.03868

8. DBCSR: A Blocked Sparse Tensor Algebra Library, I. Sivkov et al., proceeding of ParCO'19 Conference, Prague, Czech Republic, September 10-13, 2019, Advances in Parallel Computing, Volume 36: Parallel Computing: Technology Trends, arXiv:1910.13555 

9. DBCSR: A Library for Dense Matrix Multiplications on Distributed GPU-Accelerated Systems, I. Sivkov et al., proceeding of 2019 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON), Yekaterinburg (Russia), October 25-27, 2019, arXiv:1910.04796 

10. Porting of the DBCSR library for Sparse Matrix-Matrix Multiplications to Intel Xeon Phi systems, I. Bethune et al., proceeding of ParCO'17 Conference, Bologna (IT), September 12-15, 2017, Advances in Parallel Computing book series, Volume 32: Parallel Computing is Everywhere, pp. 47-56, IOS Press, Amsterdam, New York and Tokyo, arXiv:1708.03604

11. Increasing the Efficiency of Sparse Matrix-Matrix Multiplication with a 2.5D Algorithm and One-Sided MPI, A. Lazzaro et al., proceeding of PASC'17 Conference, Lugano (CH), published in the ACM Digital Library, June 26–28, 2017, arXiv:1705.10218

12. CP2K Performance from Cray XT3 to XC30, I. Bethune et al., proceeding of “Cray User Group 2014” (CUG2014), Lugano (CH), May 4–8, 2014, online since November 2014

13. Does the Intel Xeon Phi processor fit HEP workloads?, A. Nowak et al., proceeding of “Computing in High Energy and Nuclear Physics” (CHEP13), Amsterdam (NL), October 14–18, 2013, published on Journal of Physics: Conference Series 513 052024, 2014

14. Many-core experience with HEP software at CERN openlab, S. Jarp et al., proceeding of “Computing in High Energy and Nuclear Physics” (CHEP12), New York (USA), May 21–25, 2012, published on Journal of Physics: Conference Series 396 042043, 2012

15. The future of commodity computing and many-core versus the interests of HEP software, S. Jarp et al., proceeding of “Computing in High Energy and Nuclear Physics” (CHEP12), New York (USA), May 21–25, 2012, published on Journal of Physics: Conference Series 396 052058, 2012

16. Evaluation of likelihood functions on CPU and GPU devices, S. Jarp et al., proceeding of “Advanced Computing and Analysis Techniques in Physics Research” (ACAT2011), Uxbridge (UK), September 5-9, 2011, published on Journal of Physics: Conference Series 368 012023, 2012

17. Parallel Likelihood Function Evaluation on Heterogeneous Many-core Systems, S. Jarp et al., proceeding of “Biannual International Conference on Parallel Computing” (ParCo 2011), Ghent (Belgium), August 30 – September 2, 2011, published in the book series Advances in Parallel Computing, Volume 22, by IOS Press, Amsterdam, New York, Tokio, CERN-IT-2011-012

18. Evaluation of Likelihood Functions for Data Analysis on GPUs, S. Jarp et al., proceeding of “2011 IEEE International Symposium on Parallel and Distributed Processing Workshops and PhD Forum”, Anchorage (USA), May 20, 2011, pp. 1349-1358, 2011, CERN-IT-2011-010

19. Evaluating the scalability of HEP software and multi-core hardware, S. Jarp et al., proceeding of “Computing in High Energy and Nuclear Physics” (CHEP10), Taipei (Taiwan), October 18–22, 2010, published on Journal of Physics: Conference Series 331 052009, 2011

20. How to harness the performance potential of current multi-core processors, S. Jarp et al., proceeding of “Computing in High Energy and Nuclear Physics” (CHEP10), Taipei (Taiwan), October 18–22, 2010, published on Journal of Physics: Conference Series 331 012003, 2011

21. Parallelization of maximum likelihood fits with OpenMP and CUDA, S. Jarp et al., proceeding of “Computing in High Energy and Nuclear Physics” (CHEP10), Taipei (Taiwan), October 18–22, 2010, published on Journal of Physics: Conference Series 331 032021, 2011

22. The breaking point of modern processor and platform technology, S. Jarp et al., proceeding of “Computing in High Energy and Nuclear Physics” (CHEP10), Taipei (Taiwan), October 18–22, 2010, published on Journal of Physics: Conference Series 331 052030, 2011

23. Parallelization of events generation for data analysis techniques, A. Lazzaro, proceeding of “Transnational Access Meeting” (TAM2010), Espoo (Finland), June 15–17, 2010, published on HPC-Europa2, Science and Supercomputing in Europe, research highlights 2010, p. 167, 2010

24. Parallelization of events generation for data analysis techniques, A. Lazzaro, proceeding of “Advanced Computing and Analysis Techniques in Physics Research” (ACAT2010), Jaipur (India), February 22-27, 2010, published on Proceedings of Science PoS(ACAT10)070, 2010

25. The RooStats Project, L. Moneta et al., proceeding of “Advanced Computing and Analysis Techniques in Physics Research” (ACAT2010), Jaipur (India), February 22-27, 2010, published on Proceedings of Science PoS(ACAT10)057, 2010

26. MINUIT Package parallelization and applications using the RooFit package, A. Lazzaro and L. Moneta, proceeding of “Computing in High Energy and Nuclear Physics” (CHEP09), Prague (Czech Republic), March 21-27, 2009, published on Journal of Physics: Conference Series 219 042044, 2010

27. MINUIT Package Parallelization and applications using the RooFit Package, A. Lazzaro and L. Moneta, proceeding of “Advanced Computing and Analysis Techniques in Physics Research” (ACAT2008), Erice (Italy), November 3-7, 2008, published on Proceedings of Science PoS(ACAT08)083, 2008

CERN openlab reports (2010–2013)

1. Report on the parallelization of the MLfit benchmark using OpenMP and MPI, S. Jarp et al., July 2012, CERN-OPEN-2014-030

2. Comparison of Software Technologies for Vectorization and Parallelization, S. Jarp et al., September 2012, CERN-OPEN-2014-029

3. Evaluation of the Intel Sandy Bridge-EP server processor, S. Jarp et al., March 2012, CERN-IT-Note-2012-005

4. Evaluation of the Intel Westmere-EX server processor, S. Jarp et al., July 2011, CERN-IT-Note-2012-001

5. Evaluation of the Intel Nehalem-EX server processor, S. Jarp et al., May 2010, CERN-IT-Note-2011-005

6. Evaluation of the Intel Westmere-EP server processor, S. Jarp et al., April 2010, CERN-IT-Note-2011-004