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Calotoiu Alexandru
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Using automated performance modeling to find scalability bugs in complex codes
A Calotoiu, T Hoefler, M Poke, F Wolf
Proceedings of the International Conference on High Performance Computing …, 2013
1922013
Fast multi-parameter performance modeling
A Calotoiu, D Beckinsale, CW Earl, T Hoefler, I Karlin, M Schulz, F Wolf
2016 IEEE International Conference on Cluster Computing (CLUSTER), 172-181, 2016
792016
Productivity, portability, performance: Data-centric Python
AN Ziogas, T Schneider, T Ben-Nun, A Calotoiu, T De Matteis, ...
Proceedings of the International Conference for High Performance Computing …, 2021
392021
How many threads will be too many? On the scalability of OpenMP implementations
C Iwainsky, S Shudler, A Calotoiu, A Strube, M Knobloch, C Bischof, ...
Euro-Par 2015: Parallel Processing: 21st International Conference on …, 2015
372015
A RISC-V in-network accelerator for flexible high-performance low-power packet processing
S Di Girolamo, A Kurth, A Calotoiu, T Benz, T Schneider, J Beranek, ...
2021 ACM/IEEE 48th Annual International Symposium on Computer Architecture …, 2021
322021
Exascaling your library: Will your implementation meet your expectations?
S Shudler, A Calotoiu, T Hoefler, A Strube, F Wolf
Proceedings of the 29th ACM on International Conference on Supercomputing …, 2015
312015
Isoefficiency in practice: Configuring and understanding the performance of task-based applications
S Shudler, A Calotoiu, T Hoefler, F Wolf
ACM SIGPLAN Notices 52 (8), 131-143, 2017
272017
Extracting clean performance models from tainted programs
M Copik, A Calotoiu, T Grosser, N Wicki, F Wolf, T Hoefler
Proceedings of the 26th ACM SIGPLAN Symposium on Principles and Practice of …, 2021
212021
Following the blind seer–creating better performance models using less information
P Reisert, A Calotoiu, S Shudler, F Wolf
Euro-Par 2017: Parallel Processing: 23rd International Conference on …, 2017
212017
Fmi: Fast and cheap message passing for serverless functions
M Copik, R Böhringer, A Calotoiu, T Hoefler
Proceedings of the 37th International Conference on Supercomputing, 373-385, 2023
202023
Pebbles, graphs, and a pinch of combinatorics: Towards tight I/O lower bounds for statically analyzable programs
G Kwasniewski, T Ben-Nun, L Gianinazzi, A Calotoiu, T Schneider, ...
Proceedings of the 33rd ACM Symposium on Parallelism in Algorithms and …, 2021
182021
Influence of noisy environments on behavior of HPC applications
DA Nikitenko, F Wolf, B Mohr, T Hoefler, KS Stefanov, VV Voevodin, ...
Lobachevskii journal of mathematics 42 (7), 1560-1570, 2021
172021
Learning cost-effective sampling strategies for empirical performance modeling
M Ritter, A Calotoiu, S Rinke, T Reimann, T Hoefler, F Wolf
2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2020
172020
Off-road performance modeling–how to deal with segmented data
MK Ilyas, A Calotoiu, F Wolf
Euro-Par 2017: Parallel Processing: 23rd International Conference on …, 2017
162017
10,000 performance models per minute–scalability of the UG4 simulation framework
A Vogel, A Calotoiu, A Strube, S Reiter, A Nägel, F Wolf, G Wittum
Euro-Par 2015: Parallel Processing: 21st International Conference on …, 2015
162015
rFaaS: Enabling High Performance Serverless with RDMA and Leases
M Copik, K Taranov, A Calotoiu, T Hoefler
2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2023
152023
rfaas: Rdma-enabled faas platform for serverless high-performance computing
M Copik, K Taranov, A Calotoiu, T Hoefler
arXiv preprint arXiv:2106.13859, 2021
142021
Lightweight requirements engineering for exascale co-design
A Calotoiu, A Graf, T Hoefler, D Lorenz, S Rinke, F Wolf
2018 IEEE International Conference on Cluster Computing (CLUSTER), 201-211, 2018
132018
Automatic instrumentation refinement for empirical performance modeling
JP Lehr, A Calotoiu, C Bischof, F Wolf
2019 IEEE/ACM International Workshop on Programming and Performance …, 2019
122019
Software Resource Disaggregation for HPC with Serverless Computing
M Copik, M Chrapek, L Schmid, A Calotoiu, T Hoefler
arXiv preprint arXiv:2401.10852, 2024
112024
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