Current teams : | ALMASTY ALSOC APR BD CIAN ComplexNetworks DECISION DELYS LFI MOCAH MoVe NPA PEQUAN PolSys QI RO SMA SYEL |
Former team : | ACASA |
Publications PEQUAN | 2023 | 2024 | Total |
---|---|---|---|
Books | 0 | 0 | 0 |
Edited books | 0 | 0 | 0 |
Journal articles | 7 | 3 | 10 |
Book chapters | 0 | 0 | 0 |
Conference papers | 8 | 2 | 10 |
Habilitations | 0 | 0 | 0 |
Thesis | 1 | 0 | 1 |
- R. Iakymchuk, D. Mukunoki, A. Podobas, F. Jézéquel, T. Imamura, N. Fujita, J. Huthmann, Sh. Kudo, Y. Tan, J. Domke, K. Ohlhus, T. Fukaya, T. Hoshi, Y. Murakami, M. Nakata, T. Ogita, K. Sano, T. Boku : “White Paper from the Workshop on Large-scale Parallel Numerical Computing Technology (LSPANC 2020): HPC and Computer Arithmetic toward Minimal-Precision Computing”, [Iakymchuk 2020a]
- R. Iakymchuk, M. Barreda, M. Wiesenberger, J. Aliaga, E. Quintana‑Ortí : “Reproducibility Strategies for Parallel Preconditioned Conjugate Gradient”, [Iakymchuk 2020b]
- R. Iakymchuk, M. Barreda, S. Graillat, J. Aliaga, E. Quintana‑Ortí : “Reproducibility of Parallel Preconditioned Conjugate Gradient in Hybrid Programming Environments”, [Iakymchuk 2020c]
- F. Jézéquel, S. Graillat, D. Mukunoki, T. Imamura, R. Iakymchuk : “Can we avoid rounding-error estimation in HPC codes and still get trustful results?”, [Jézéquel 2020a]
- D. Mukunoki, K. Ozaki, T. Ogita, R. Iakymchuk : “Conjugate Gradient Solvers with High Accuracy and Bit-wise Reproducibility between CPU and GPU using Ozaki Scheme”, [Mukunoki 2020]