The Universitat Jaume I (UJI) is the public university in the north of the Valencian Community, a region on the European Mediterranean coast located in Spain, between the cities of Valencia and Barcelona. Established in 1991, the UJI has positioned itself as a university of proximity characterized by its personal attention, smooth-running management procedures and the high levels of participation of its members in university life, due, among other things, to its convenient size, with about 15,000 students, and its integrated, modern, functional and sustainable campus.
UJI will be in charge of the formalisation of mathematical background in WP2 and will take the lead in the development of transprecision algorithms for WP5. UJI will also participate in WP7 by contributing with scientific computing mini-apps.
Coordinator of the High Performance Computing and Architectures (HPCA) group at UJI
He received his B. Eng. and PhD in Computer Sciences, both from the Universidad Politecnica de Valencia(Spain), in 1992 and 1996, respectively. From 1995 was hired as Assistant Professor and later AssociateProfessor at UJI, where he has been a Professor of Computer Architecture since 2009. Prof. Quintana-Ortí’s research interest address the optimization of scientific applications in general, and sparse and dense linear algebra problems in particular, on general-purpose processors as well as hardware accelerators, and their parallelization on clusters and shared-memory mutiprocessors. Prof. Quintana-Orti has published 300+ papers injournals and international conferences. In addition, he has participated in EU projects on programming models (FP7 INFRA-2010-1.2.2 Project “TEXT: Towards EXaflop applicaTions”, H2020 671602 “INTERTWinE:Programming Model Interoperability Towards Exascale”) and energy efficiency (FP7 318793 Project”EXA2GREEN: Energy-Aware Sustainable Computing on Future Technology – Paving the Road to ExascaleComputing”). Prof. Quintana-Orti is a recipient of the 2008 NVIDIA Professorship Award and he has received two awards from USA National Aeronautics and Space Administration (NASA) for his technical innovations.
Prof. Rafael Mayo received the BS degree from Polytechnic Valencia University in 1991. He obtained his PhD in Computer Science in 2001 at the same University. Since October 2002 he has been an Associate Professor in the department of Computer Science and Engineering in the University Jaume I. His research interests include the parallelization of scientific applications in general. Rafael Mayo has published more than 100 papers in journals and conferences. He has been/is a researcher in EU FP7 project INFRA-2010-1.2.2 TEXT and EU FP7 project 318793 EXA2GREEN. He also has participated in two EU COST networks: COST IC804 “Energy efficiency in large scale distributed systems” and COST IC1305 “Network for Sustainable Ultrascale Computing”.
Andrés Tomás Domínguez joined in 2004 the Grid and High Performance Computing Research Group (GRyCAP) at Universitat Politècnica de València (UPV). He received the PhD degree in computer science in 2009 with a dissertation about the implementation of Krylov methods in SLEPc , an extension of PETSc for solving large sparse eigenvalue and SVD problems in parallel computers.
Fromm 2010 to 2012 he was a postdoctoral scholar at UC Davis Computer Science Department working on the acceleration of Determinant Quantum Monte Carlo (DQMC) simulations on GPUs. Since 2013 he is a lecturer at Escuela Politècnica de Gandía (part of the UPV) while working on DNA sequencing GPU applications and wireless network simulations.
Currently, he is a research associate at Universidad Jaume I de Castellón doing multiprecision benchmarking in the OPRECOMP project. For this project, he’s assessing the accuracy and stability of multiprecision numerical algorithms and collaborates with the rest of the partners on improving algorithm performance on the project platforms.
Vedran Novakovic graduated in 2006 at University of Zagreb, Croatia, where he was employed in various roles, mostly as a teaching assistant, until 2014. In 2015 he joined the Science and Technology Facilities Council in the UK as a computational scientist for the Square Kilometre Array and NLAFET projects. Afterwards, he defended his PhD thesis in 2017 at University of Zagreb with a focus on parallelizing a class of the SVD algorithms for dense matrices, and moved to Universitat Jaume I in 2018 for work on OPRECOMP project.