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GPU-optimized Approaches to Molecular Docking-based Virtual Screening in Drug Discovery: A Comparative Analysis., , , , , , and . CoRR, (2022)EXSCALATE: An extreme-scale in-silico virtual screening platform to evaluate 1 trillion compounds in 60 hours on 81 PFLOPS supercomputers., , , , , , , , , and . CoRR, (2021)Supporting the Scale-Up of High Performance Application to Pre-Exascale Systems: The ANTAREX Approach., , , , , , , , , and 15 other author(s). PDP, page 116-123. IEEE, (2019)SYnergy: Fine-grained Energy-Efficient Heterogeneous Computing for Scalable Energy Saving., , , , , and . SC, page 69:1-69:13. ACM, (2023)Tunable and Portable Extreme-Scale Drug Discovery Platform at Exascale: the LIGATE Approach., , , , , , , , , and 24 other author(s). CF, page 272-278. ACM, (2023)Meet Monte Cimone: exploring RISC-V high performance compute clusters., , , , , , , , , and 2 other author(s). CF, page 207-208. ACM, (2022)Bounds and Solutions for Strategic, Tactical and Operational Ambulance Location., , and . CTW, page 180-183. (2009)High-throughput drug discovery on the Fujitsu A64FX architecture., , and . HPC Asia Workshops, page 17-23. ACM, (2024)Monte Cimone: Paving the Road for the First Generation of RISC-V High-Performance Computers., , , , , , , , , and 2 other author(s). SOCC, page 1-6. IEEE, (2022)EXSCALATE: An Extreme-Scale Virtual Screening Platform for Drug Discovery Targeting Polypharmacology to Fight SARS-CoV-2., , , , , , , , , and . IEEE Trans. Emerg. Top. Comput., 11 (1): 170-181 (January 2023)