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Items where Subject is "TECHNICAL SCIENCES > Computing > Process Computing"

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Number of items at this level: 14.

Article

Aliaga, José I.; Alonso, Pedro; Badía, José M.; Chacón, Pablo; Davidović, Davor; López-Blanco, José R.; Quintana-Ortí, Enrique S. (2016) Fast band-Krylov eigensolver for macromolecular functional motion simulation on multicore architectures and graphics processors. Journal of computational physics, 309 . pp. 314-323. ISSN 0021-9991

Alonso-Jordá, Pedro; Davidović, Davor; Sapunar, Marin; Herrero, José R.; Quintana-Ortí, Enrique S. (2021) Efficient update of determinants for many-electron wave function overlaps. Computer physics communications, 258 . ISSN 0010-4655

Marić, Ivan (2013) Optimization of self-organizing polynomial neural networks. Expert systems with applications, 40 (11). pp. 4528-4538. ISSN 0957-4174

Sapunar, Marin; Piteš, Tomislav; Davidović, Davor; Došlić, Nađa (2019) Highly Efficient Algorithms for CIS Type Excited State Wave Function Overlaps. Journal of Chemical Theory and Computation, 15 (6). pp. 3461-3469. ISSN 1549-9618

Tomić, Draško; Davidović, Davor; Szasz, Attila Marcel; Rezeli, Melinda; Pirkić, Boris; Petrik, Jozsef; Vrca, Vesna Bačić; Janđel, Vladimir; Lipić, Tomislav; Skala, Karolj; Mesarić, Josip; Periša, Marija Milković; Šojat, Zorislav; Rogina Medved, Branka (2021) The screening and evaluation of potential clinically significant HIV drug combinations against the SARS-CoV-2 virus. Informatics in Medicine Unlocked, 23 . ISSN 2352-9148

Conference or workshop item published in conference proceedings

Aliaga, José; Davidović, Davor; Pérez, Joaquín; Quintana-Ortí, Enrique S. (2016) Harnessing CUDA dynamic parallelism for the solution of sparse linear systems. In: Joubert, Gerhard; Leather, Hugh; Peters, Frans; Parsons, Mark; Sawyer, Mark, (eds.) Parallel computing : on the road to exascale. pp. 217-226 .

Davidović, Davor (2021) An overview of dense eigenvalue solvers for distributed memory systems. In: Skala, Karolj, (ed.) MIPRO Proceedings 2021. Rijeka, Croatian Society for Information, Communication and Electronic Technology – MIPRO, pp. 291-297 .

Davidović, Davor; Quintana-Ortí, Enrique S. (2020) Structure-Aware Calculation of Many-Electron Wave Function Overlaps on Multicore Processors. In: Wyrzykowski, Roman; Deelman, Eva; Dongarra, Jack; Karczewski, Konrad, (eds.) LNCS 12043: Parallel Processing and Applied Mathematics. pp. 13-24 .

Fabregat-Traver, Diego; Davidović, Davor; Höhnerbach, Markus; Di Napoli, Edoardo (2017) Hybrid CPU-GPU generation of the Hamiltonian and overlap matrices in FLAPW methods. In: Di Napoli, E.; Hermanns, Marc-A.; Iliev, H.; Lintermann, A.; Peyser, A., (eds.) LNCS - High Performance Scientific Computing. pp. 200-211 .

Mijić, Nenad; Davidović, Davor (2022) Batched matrix operations on distributed GPUs with application in theoretical physics. In: 2022 45th Jubiilee International Convention on Information, Communication and Electronic Technology (MIPRO). pp. 293-299 .

Mijić, Nenad; Davidović, Davor (2023) Benchmark DPC++ code and performance portability on heterogeneous architectures. In: Skala, Karolj, (ed.) 2023 46th ICT and Electronics Convention (MIPRO). pp. 331-337 .

Tomić, Draško; Davidović, Davor; Šubić, Tomislav; Mesarić, Josip; Skala, Karolj (2020) Improving 3D printing of garments by using HPC Cloud. In: Skala, Karolj, (ed.) MIPRO 2020 43rd International Convention. Rijeka, Hrvatska, Croatian Society for Information, Communication and Electronic Technology – MIPRO, pp. 249-252 .

Wu, Xinzhe; Davidović, Davor; Achilles, Sebastian; Di Napoli, Edoardo (2022) ChASE: a distributed hybrid CPU-GPU eigensolver for large-scale hermitian eigenvalue problems. In: PASC'22: Proceedings of the Platform for Advanced Scientific Computing Conference. New York, NY, USA, ACM, pp. 1-12 .

Unpublished conference/workshop items or lecture materials

Mijić, Nenad; Davidović, Davor; Xinzhe, Wu; Di Napoli, Edoardo Improving stability and performance: Integration of novel CholeskyQR2 into the ChASE library. In: SIAM Conference on Parallel Processing for Scientific Computing (PP24) (5 March 2024 - 8 March 2024) Baltimore, USA. (Unpublished)

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