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2024

nOS-V: Co-Executing HPC Applications Using System-Wide Task Scheduling

D. Álvarez, K. Sala, and V. Beltran
ALPI: Enhancing Portability and Interoperability of Task-Aware Libraries

K. Sala, D. Álvarez, R. Peñacoba, R. Arias Mallo, A. Navarro, A. Roca, and V. Beltran
Stabilizer Tensor Networks: Universal Quantum Simulator on a Basis of Stabilizer States

Physical Review Letters

S. Masot-Llima, and A. Garcia-Sáez
Advancing the State of the Art of Directive-based Programming for GPUs: Runtime and Compilation

K. Matsumura, and A. J. Pena
Malleability in modern HPC systems: Current experiences, challenges, and future opportunities

IEEE Transactions on Parallel and Distributed Systems

A. Tarraf, M. Schreiber, A. Cascajo, J-B. Besnard, M-A. Vef, D. Huber, S. Happ, A. Brinkmann, D. E. Singh, H-C. Hoppe, A. Miranda, A. J. Pena, R. Machado, M. Garcia-Gasulla, M. Schulz, P. Carpenter, S. Pickartz, T. Rotaru, S. Iserte, V. Lopez, J. Ejarque, H. Sirwani, J. Carretero, and F. Wolf
Analyzing sex imbalance in EGA and dbGaP biological databases: Recommendations for better practices

iScience

V. Ruiz-Serra, N. Buslón, O. R. Philippe, D. Saby, M. Morales, C. Pontes, A. Muñoz Andirkó, G. L. Holliday, A. Jené, M. Moldes, J. Rambla, A. Valencia, M. José Rementeria, A. Cortés, and D. Cirillo
Risk of cancer development associated with disease-modifying therapies for multiple sclerosis: study protocol for a systematic review and meta-analysis of randomised and non-randomised studies

Systematic Reviews

F. Catalá-López, L. Tejedor-Romero, J. A. Driver, B. Hutton, J. Vicent Sánchez-Ortí, M. Ridao, A. Alonso-Arroyo, P. Correa-Ghisays, J. Forés-Martos, V. Balanzá-Martínez, A. Valencia, I. Cobos, and R. Tabarés-Seisdedos
The role of data-induced randomness in quantum machine learning classification tasks

B. Casas, X. Bonet-Monroig, and A. Pérez-Salinas
Designing a mockup and refactoring code for HPC geo-electromagnetic applications

IEEECEV

O. Castillo-Reyes, X. García Orihuela, and X. Piña Suárez
Rare disease research workflow using multilayer networks elucidates the molecular determinants of severity in Congenital Myasthenic Syndromes

Nature Communications

I. Núñez-Carpintero, M. Rigau, M. Bosio, E. O’Connor, S. Spendiff, Y. Azuma, A. Topf, R. Thompson, P. A. C. ’t Hoen, T. Chamova, I. Tournev, V. Guergueltcheva, S. Laurie, S. Beltran, S. Capella-Gutierrez, D. Cirillo, H. Lochmüller, and A. Valencia

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