Integrating HPC, AI, and Workflows for Scientific Data Analysis (Dagstuhl Seminar 23352)

Συγγραφείς: Badia, Rosa M., Berti-Equille, Laure, da Silva, Rafael Ferreira, Leser, Ulf, Rybicki, Jedrzej

Θεματικοί όροι: Exascale class machine optimization, Computing methodologies → Parallel computing methodologies, Performance data analysis and root cause detection, Computing methodologies → Distributed computing methodologies, Computing methodologies → Machine learning, High dimensional data representation, Large scale data presentation and analysis

High Performance Computing for gravitational lens modeling: Single vs double precision on GPUs and CPUs

Συγγραφείς: Rexroth, M. ^a, Schäfer, C. ^{a, ⁎}, Fourestey, G. ^b, Kneib, J.-P. ^{a, c}

Πηγή: In Astronomy and Computing January 2020 30

Data analysis at scale

Συγγραφείς: Gemulla, Rainer^{aff1_w2aab2b8c42b1b7b1aab1b4b1Aa}

Πηγή: it - Information Technology. 57(2):130-132

Διαθεσιμότητα: https://www.degruyter.com/document/doi/10.1515/itit-2014-1077/html

The Miracle, Mandate and Mirage of High Performance Computing

Συγγραφείς: Keyes, David

Πηγή: it - Information Technologyit - Information Technology. 55(3):110-114

Διαθεσιμότητα: https://www.degruyter.com/document/doi/10.1524/itit.2013.0012/html