in Computer Science
LIP - ENS Lyon
46 allée d'Italie
F-69364 Lyon Cedex 07
Huawei Technologies France
20 quai du Point du Jour
|filip . pawlowski
(at) ens-lyon (dot) fr
|filip . pawlowski1
(at) huawei (dot) com
I am a third year PhD student at ENS Lyon. My work is supported by an ANRT CIFRE grant agreement between Huawei Technologies (Paris Research Center) and LIP Laboratory at ENS Lyon, under the direction of Bora Uçar and Albert-Jan Yzelman. My research focuses on high-performance computation of numerical tensor and, more recently, neural network problems. You may download my academic CV here.
I obtained my MSc in Distributed Systems and Services from Berlin Institute of Technology (2015) and MSc in Data & Knowledge from Telecom ParisTech (2016) as part of the EIT Digital Master School, a double degree programme with a minor degree in Innovation and Entrepreneurship.
Filip Pawłowski, Rob Bisseling, Bora Uçar, and Albert-Jan Yzelman, Combinatorial Tiling for Sparse Neural Networks. Available as [Research Report] RR-9357,
Inria - Research Centre Grenoble – Rhône-Alpes. 2020.
Accepted for publication at IEEE HPEC 2020
Won the Innovation Award at the 2020 IEEE GraphChallenge
- Filip Pawłowski, Bora Uçar, and Albert-Jan Yzelman, High Performance Tensor-Vector Multiplication on Shared-Memory Systems, in the Proc. PPAM 2019, LNCS, Springer, pp. 38--48, 2019. ( doi, HAL)
- Filip Pawłowski, Bora Uçar, and Albert-Jan Yzelman, A multi-dimensional Morton-ordered block storage for mode-oblivious tensor computations, Journal of Computational Science, 33 (2019), pp. 34--44. ( doi, HAL)
- High Performance Tensor-Vector Multiplication on Shared-Memory Systems, at the International Conference on Parallel Processing and Applied Mathematics (PPAM), Bialystok, Poland, September 8-11, 2019.
- A Multi-dimensional Morton-ordered Block Storage for Mode-oblivious Tensor Computations at the SIAM Conference on Computational Science and Engineering (CSE19), Spokane, Washington, USA, February 25 - March 1, 2019. (Video)