| GGAS: Global GPU address spaces for efficient communication in heterogeneous clusters L Oden, H Fröning 2013 IEEE International Conference on Cluster Computing (CLUSTER), 1-8, 2013 | 57 | 2013 |
| InfiniBand Verbs on GPU: a case study of controlling an InfiniBand network device from the GPU L Oden, H Fröning The International Journal of High Performance Computing Applications 31 (4 …, 2017 | 45 | 2017 |
| Why is MPI so slow? analyzing the fundamental limits in implementing MPI-3.1 K Raffenetti, A Amer, L Oden, C Archer, W Bland, H Fujita, Y Guo, ... Proceedings of the international conference for high performance computing …, 2017 | 39 | 2017 |
| Lessons learned from comparing C-CUDA and Python-Numba for GPU-Computing L Oden 2020 28th Euromicro International Conference on Parallel, Distributed and …, 2020 | 36 | 2020 |
| Gaspi–a partitioned global address space programming interface T Alrutz, J Backhaus, T Brandes, V End, T Gerhold, A Geiger, ... Facing the Multicore-Challenge III: Aspects of New Paradigms and …, 2013 | 32 | 2013 |
| Energy-efficient collective reduce and allreduce operations on distributed GPUs L Oden, B Klenk, H Fröning 2014 14th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2014 | 30 | 2014 |
| The coming decade of digital brain research-A vision for neuroscience at the intersection of technology and computing K Amunts, A Rowald, S Petkoski, MV Sanchez-Vives, M Axer, G De Bonis, ... Computational and Systems Neuroscience, 2022 | 26 | 2022 |
| A performance study of UCX over InfiniBand N Papadopoulou, L Oden, P Balaji 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2017 | 23 | 2017 |
| Analyzing put/get apis for thread-collaborative processors B Klenk, L Oden, H Froening 2014 43rd International Conference on Parallel Processing Workshops, 411-418, 2014 | 19 | 2014 |
| Hexe: A toolkit for heterogeneous memory management L Oden, P Balaji 2017 IEEE 23rd International Conference on Parallel and Distributed Systems …, 2017 | 18 | 2017 |
| Analyzing communication models for distributed thread-collaborative processors in terms of energy and time B Klenk, L Oden, H Froning 2015 IEEE International Symposium on Performance Analysis of Systems and …, 2015 | 18 | 2015 |
| GPI2 for GPUs: A PGAS framework for efficient communication in hybrid clusters L Oden Parallel Computing: Accelerating Computational Science and Engineering (CSE …, 2014 | 18 | 2014 |
| IO challenges for human brain atlasing using deep learning methods-an in-depth analysis L Oden, C Schiffer, H Spitzer, T Dickscheid, D Pleiter 2019 27th Euromicro International Conference on Parallel, Distributed and …, 2019 | 10 | 2019 |
| MPICH Installer’s Guide Version 3.2. 1 Version 7 (3), 2002-2007, 2005 | 8* | 2005 |
| Fall-detection on a wearable micro controller using machine learning algorithms L Oden, T Witt 2020 IEEE International Conference on Smart Computing (SMARTCOMP), 296-301, 2020 | 7 | 2020 |
| Energy-efficient stencil computations on distributed gpus using dynamic parallelism and gpu-controlled communication L Oden, B Klenk, H Fröning 2014 Energy Efficient Supercomputing Workshop, 31-40, 2014 | 6 | 2014 |
| MPICH User’s Guide, Version 3.2 A Amer, P Balaji, W Bland, W Gropp, R Latham, H Lu, L Oden, A Pena, ... Argonne National Laboratory, 2015 | 5 | 2015 |
| Improving cryptanalytic applications with stochastic runtimes on GPUs L Oden, J Keller 2021 IEEE International Parallel and Distributed Processing Symposium …, 2021 | 4 | 2021 |
| Direct Communication Methods for Distributed GPUs L Oden | 4 | 2015 |
| GPU-centric communication for improved efficiency B Klenk, L Oden, H Fröning International Workshop on Green Programming, Computing and Data Processing …, 2014 | 4 | 2014 |
Benjamin KlenkResearch Scientist, NVIDIA Corp.Bestätigte E-Mail-Adresse bei nvidia.com
