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Simon Andreas Frimann Lund
Simon Andreas Frimann Lund
Email confirmado em samsung.com - Página inicial
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Bohrium: unmodified NumPy code on CPU, GPU, and cluster
MRB Kristensen, SAF Lund, T Blum, K Skovhede, B Vinter
4th Workshop on Python for High Performance and Scientific Computing (PyHPC’13), 2013
352013
Bohrium: a virtual machine approach to portable parallelism
MRB Kristensen, SAF Lund, T Blum, K Skovhede, B Vinter
2014 IEEE International Parallel & Distributed Processing Symposium …, 2014
322014
Fusion of parallel array operations
MRB Kristensen, SAF Lund, T Blum, J Avery
Proceedings of the 2016 International Conference on Parallel Architectures …, 2016
212016
Separating NumPy API from implementation
MRB Kristensen, SAF Lund, T Blum, K Skovhede
5th Workshop on Python for High Performance and Scientific Computing (PyHPC’14), 2014
102014
Battling memory requirements of array programming through streaming
MRB Kristensen, J Avery, T Blum, SAF Lund, B Vinter
High Performance Computing: ISC High Performance 2016 International …, 2016
62016
Bohrium: unmodified NumPy code on CPU
MRB Kristensen, SAF Lund, T Blum, K Skovhede, B Vinter
GPU, and cluster 20, 2013
62013
Doubling the Performance of Python/NumPy with less than 100 SLOC
SAF Lund, K Skovhede, MRB Kristensen, B Vinter
Python for High Performance and Scientific Computing (PyHPC 2013), 2013
52013
I/O interface independence with xNVMe
SAF Lund, P Bonnet, KBA Jensen, J Gonzalez
Proceedings of the 15th ACM International Conference on Systems and Storage …, 2022
42022
Prototyping for exascale
B Vinter, MRB Kristensen, SAF Lund, T Blum, K Skovhede
Proceedings of the 3rd International Conference on Exascale Applications and …, 2015
32015
Automatic mapping of array operations to specific architectures
SAF Lund, MRB Kristensen, B Vinter
2016 Sixth International Workshop on Domain-Specific Languages and High …, 2016
22016
Fusion of array operations at runtime
MRB Kristensen, SAF Lund, T Blum, J Avery
arXiv preprint arXiv:1601.05400, 2016
22016
Lund. NumCIL and Bohrium: High productivity and high performance
K Skovhede, AF Simon
Proceedings of the 11th International Conference on Parallel Processing and …, 2015
22015
cphvb: A system for automated runtime optimization and parallelization of vectorized applications
MRB Kristensen, SAF Lund, T Blum, B Vinter
arXiv preprint arXiv:1210.7774, 2012
22012
Automatic mapping of array operations to specific architectures. In submission to Elsevier journal on Parallel Computing, 2015. Ref
SAF Lund, B Vinter
PARCO-D-15-00170, 0
2
{I/O} Passthru: Upstreaming a flexible and efficient {I/O} Path in Linux
K Joshi, A Gupta, J González, A Kumar, KK Reddy, A George, S Lund, ...
22nd USENIX Conference on File and Storage Technologies (FAST 24), 107-121, 2024
12024
Programming Emerging Storage Interfaces
S Lund
Usenix Vault. https://www. usenix. org/conference/vault20/presentation/lund, 2020
12020
Morning Tutorial 2: An introduction to {NVMe} Zoned Namespaces
S Lund, K Jensen
12020
Numcil and bohrium: High productivity and high performance
K Skovhede, SAF Lund
Parallel Processing and Applied Mathematics: 11th International Conference …, 2016
12016
Bypassing the conventional software stack using adaptable runtime systems
SAF Lund, MRB Kristensen, B Vinter, D Katsaros
Euro-Par 2014: Parallel Processing Workshops: Euro-Par 2014 International …, 2014
12014
Remote Access to Virtual Machines in MiG
SAF Lund
Academic Project, June, 2009
12009
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