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2020 – today
- 2024
[c22]Lena Oden, Klaus Nölp, Philipp Brauner:
Integrating Interactive Performance Analysis in Jupyter Notebooks for Parallel Programming Education. IPDPS (Workshops) 2024: 369-376- [c21]Seyong Lee, Lena Oden:
HIPS 2024 Preface and Committees. IPDPS (Workshops) 2024: 664-665 - 2023
- [j6]Sunita Chandrasekaran
, Min Si, Jidong Zhai, Lena Oden:
Special issue on new trends in high-performance computing: Software systems and applications. Softw. Pract. Exp. 53(1): 3-5 (2023) - [j5]Klaus Nölp, Lena Oden:
Simplifying non-contiguous data transfer with MPI for Python. J. Supercomput. 79(17): 20019-20040 (2023) - 2022
- [j4]Lena Oden, Jörg Keller:
Improving cryptanalytic applications with stochastic runtimes on GPUs and multicores. Parallel Comput. 112: 102944 (2022) - [c20]Michaela Gaudszun, Lena Oden, Bernhard Schlegel:
Quality-aware scheduling of on-board and off-board data analysis in vehicle development. ICPS 2022: 1-6 - [c19]Lena Oden:
12th IEEE International Workshop on Accelerators and Hybrid Emerging Systems. IPDPS Workshops 2022: 369-370 - 2021
- [j3]Lena Oden:
Comparing Data Staging Techniques for Large Scale Brain Images. IEEE Trans. Emerg. Top. Comput. 9(4): 1697-1708 (2021) - [c18]Lena Oden, Jörg Keller:
Improving Cryptanalytic Applications with Stochastic Runtimes on GPUs. IPDPS Workshops 2021: 459-468 - 2020
- [c17]Lena Oden, Tarek Saidi:
Implementation and Evaluation of CUDA-Unified Memory in Numba. Euro-Par Workshops 2020: 197-208 - [c16]Min Si, Lena Oden, Simon Garcia De Gonzalo:
Workshop 8: AsHES Accelerators and Hybrid Exascale Systems. IPDPS Workshops 2020: 430 - [c15]Lena Oden:
Lessons learned from comparing C-CUDA and Python-Numba for GPU-Computing. PDP 2020: 216-223 - [c14]Lena Oden, Thorsten Witt:
Fall-detection on a wearable micro controller using machine learning algorithms. SMARTCOMP 2020: 296-301
2010 – 2019
- 2019
- [c13]Pol Santamaria, Lena Oden, Eloy Gil, Yolanda Becerra, Raül Sirvent, Philipp Glock, Jordi Torres:
Evaluating the Benefits of Key-Value Databases for Scientific Applications. ICCS (1) 2019: 412-426 - [c12]Lena Oden, Christian Schiffer, Hannah Spitzer, Timo Dickscheid, Dirk Pleiter:
IO Challenges for Human Brain Atlasing Using Deep Learning Methods - An In-Depth Analysis. PDP 2019: 291-298 - 2017
- [j2]Lena Oden, Holger Fröning:
InfiniBand Verbs on GPU: a case study of controlling an InfiniBand network device from the GPU. Int. J. High Perform. Comput. Appl. 31(4): 274-284 (2017) - [c11]Nikela Papadopoulou, Lena Oden, Pavan Balaji:
A Performance Study of UCX over InfiniBand. CCGrid 2017: 345-354 - [c10]Lena Oden, Pavan Balaji:
Hexe: A Toolkit for Heterogeneous Memory Management. ICPADS 2017: 656-663 - [c9]Ken Raffenetti, Abdelhalim Amer, Lena Oden, Charles Archer, Wesley Bland, Hajime Fujita, Yanfei Guo, Tomislav Janjusic, Dmitry Durnov, Michael Blocksome, Min Si, Sangmin Seo, Akhil Langer, Gengbin Zheng, Masamichi Takagi, Paul K. Coffman, Jithin Jose, Sayantan Sur, Alexander Sannikov, Sergey Oblomov, Michael Chuvelev, Masayuki Hatanaka, Xin Zhao, Paul F. Fischer, Thilina Rathnayake, Matthew Otten, Misun Min, Pavan Balaji:
Why is MPI so slow?: analyzing the fundamental limits in implementing MPI-3.1. SC 2017: 62 - 2016
- [j1]Lena Oden, Benjamin Klenk, Holger Fröning:
Analyzing GPU-controlled communication with dynamic parallelism in terms of performance and energy. Parallel Comput. 57: 125-134 (2016) - 2015
- [c8]Benjamin Klenk, Lena Oden, Holger Fröning:
Analyzing communication models for distributed thread-collaborative processors in terms of energy and time. ISPASS 2015: 318-327 - 2014
- [b1]Lena Oden:
Direct communication methods for distributed GPUs. University of Heidelberg, Germany, 2014, pp. 1-197 - [c7]Lena Oden, Benjamin Klenk, Holger Fröning:
Energy-Efficient Collective Reduce and Allreduce Operations on Distributed GPUs. CCGRID 2014: 483-492 - [c6]Benjamin Klenk, Lena Oden, Holger Fröning:
Analyzing Put/Get APIs for Thread-Collaborative Processors. ICPP Workshops 2014: 411-418 - [c5]Lena Oden, Holger Fröning, Franz-Josef Pfreundt:
Infiniband-Verbs on GPU: A Case Study of Controlling an Infiniband Network Device from the GPU. IPDPS Workshops 2014: 976-983 - [c4]Lena Oden, Benjamin Klenk, Holger Fröning:
Energy-efficient stencil computations on distributed GPUs using dynamic parallelism and GPU-controlled communication. E2SC@SC 2014: 31-40 - 2013
- [c3]Lena Oden, Holger Fröning:
GGAS: Global GPU address spaces for efficient communication in heterogeneous clusters. CLUSTER 2013: 1-8 - [c2]Lena Oden:
GPI2 for GPUs: A PGAS framework for efficient communication in hybrid clusters. PARCO 2013: 461-470 - 2012
- [c1]Thomas Alrutz, Jan Backhaus, Thomas Brandes, Vanessa End, Thomas Gerhold, Alfred Geiger, Daniel Grünewald, Vincent Heuveline, Jens Jägersküpper, Andreas Knüpfer, Olaf Krzikalla, Edmund Kügeler, Carsten Lojewski, Guy Lonsdale, Ralph Müller-Pfefferkorn, Wolfgang E. Nagel, Lena Oden, Franz-Josef Pfreundt, Mirko Rahn, Michael Sattler, Mareike Schmidtobreick, Annika Schiller, Christian Simmendinger, Thomas Soddemann, Godehard Sutmann, Henning Weber, Jan-Philipp Weiss:
GASPI - A Partitioned Global Address Space Programming Interface. Facing the Multicore-Challenge 2012: 135-136
Coauthor Index
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