Alexander Heinecke
Alexander Heinecke
Research Scientist at Intel Labs
Bestätigte E-Mail-Adresse bei
Zitiert von
Zitiert von
The ELPA library: scalable parallel eigenvalue solutions for electronic structure theory and computational science
A Marek, V Blum, R Johanni, V Havu, B Lang, T Auckenthaler, A Heinecke, ...
Journal of Physics: Condensed Matter 26 (21), 213201, 2014
Design and implementation of the linpack benchmark for single and multi-node systems based on intel® xeon phi coprocessor
A Heinecke, K Vaidyanathan, M Smelyanskiy, A Kobotov, R Dubtsov, ...
2013 IEEE 27th International Symposium on Parallel and Distributed …, 2013
Petascale high order dynamic rupture earthquake simulations on heterogeneous supercomputers
A Heinecke, A Breuer, S Rettenberger, M Bader, AA Gabriel, C Pelties, ...
SC'14: Proceedings of the International Conference for High Performance …, 2014
LIBXSMM: accelerating small matrix multiplications by runtime code generation
A Heinecke, G Henry, M Hutchinson, H Pabst
SC'16: Proceedings of the International Conference for High Performance …, 2016
ls1 mardyn: The Massively Parallel Molecular Dynamics Code for Large Systems
C Niethammer, S Becker, M Bernreuther, M Buchholz, W Eckhardt, ...
Journal of chemical theory and computation 10 (10), 4455-4464, 2014
From gpgpu to many-core: Nvidia fermi and intel many integrated core architecture
A Heinecke, M Klemm, HJ Bungartz
Computing in Science & Engineering 14 (2), 78-83, 2012
591 TFLOPS multi-trillion particles simulation on SuperMUC
W Eckhardt, A Heinecke, R Bader, M Brehm, N Hammer, H Huber, ...
international supercomputing conference, 1-12, 2013
Mixed precision training of convolutional neural networks using integer operations
D Das, N Mellempudi, D Mudigere, D Kalamkar, S Avancha, K Banerjee, ...
arXiv preprint arXiv:1802.00930, 2018
Qsparse-local-SGD: Distributed SGD with quantization, sparsification, and local computations
D Basu, D Data, C Karakus, SN Diggavi
IEEE Journal on Selected Areas in Information Theory 1 (1), 217-226, 2020
Sustained petascale performance of seismic simulations with SeisSol on SuperMUC
A Breuer, A Heinecke, S Rettenberger, M Bader, AA Gabriel, C Pelties
International Supercomputing Conference, 1-18, 2014
Efficient shared-memory implementation of high-performance conjugate gradient benchmark and its application to unstructured matrices
J Park, M Smelyanskiy, K Vaidyanathan, A Heinecke, DD Kalamkar, X Liu, ...
SC'14: Proceedings of the International Conference for High Performance …, 2014
A study of bfloat16 for deep learning training
D Kalamkar, D Mudigere, N Mellempudi, D Das, K Banerjee, S Avancha, ...
arXiv preprint arXiv:1905.12322, 2019
Anatomy of high-performance deep learning convolutions on SIMD architectures
E Georganas, S Avancha, K Banerjee, D Kalamkar, G Henry, H Pabst, ...
SC18: International Conference for High Performance Computing, Networking …, 2018
Parallel matrix multiplication based on space-filling curves on shared memory multicore platforms
A Heinecke, M Bader
Proceedings of the 2008 workshop on Memory access on future processors: a …, 2008
High order seismic simulations on the Intel Xeon Phi processor (Knights Landing)
A Heinecke, A Breuer, M Bader, P Dubey
International Conference on High Performance Computing, 343-362, 2016
Hardware-oriented implementation of cache oblivious matrix operations based on space-filling curves
M Bader, R Franz, S Günther, A Heinecke
International Conference on Parallel Processing and Applied Mathematics, 628-638, 2007
Performance optimizations for scalable implicit RANS calculations with SU2
TD Economon, D Mudigere, G Bansal, A Heinecke, F Palacios, J Park, ...
Computers & Fluids 129, 146-158, 2016
Extending a highly parallel data mining algorithm to the intel® many integrated core architecture
A Heinecke, M Klemm, D Pflüger, A Bode, HJ Bungartz
European Conference on Parallel Processing, 375-384, 2011
Cache oblivious dense and sparse matrix multiplication based on Peano curves
M Bader, A Heinecke
Proceedings of the PARA 8, 2008
Option pricing with a direct adaptive sparse grid approach
HJ Bungartz, A Heinecke, D Pflüger, S Schraufstetter
Journal of Computational and Applied Mathematics 236 (15), 3741-3750, 2012
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