Calotoiu Alexandru
Cited by
Cited by
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
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
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
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, ...
European Conference on Parallel Processing, 451-463, 2015
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
Following the blind seer–creating better performance models using less information
P Reisert, A Calotoiu, S Shudler, F Wolf
European Conference on Parallel Processing, 106-118, 2017
Off-road performance modeling–how to deal with segmented data
MK Ilyas, A Calotoiu, F Wolf
European Conference on Parallel Processing, 36-48, 2017
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
European Conference on Parallel Processing, 519-531, 2015
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
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
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
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
Catwalk: a quick development path for performance models
F Wolf, C Bischof, T Hoefler, B Mohr, G Wittum, A Calotoiu, C Iwainsky, ...
European Conference on Parallel Processing, 589-600, 2014
rfaas: Rdma-enabled faas platform for serverless high-performance computing
M Copik, K Taranov, A Calotoiu, T Hoefler
arXiv preprint arXiv:2106.13859, 2021
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
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
Extrapeak: Advanced automatic performance modeling for HPC applications
A Calotoiu, M Copik, T Hoefler, M Ritter, S Shudler, F Wolf
Software for Exascale Computing-SPPEXA 2016-2019, 453-482, 2020
Automatic Empirical Performance Modeling of Parallel Programs
A Calotoiu
Technische Universität, 2018
Automatic performance modeling of hpc applications
F Wolf, C Bischof, A Calotoiu, T Hoefler, C Iwainsky, G Kwasniewski, ...
Software for Exascale Computing-SPPEXA 2013-2015, 445-465, 2016
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
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