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Holger Fröning
Holger Fröning
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Titel
Zitiert von
Zitiert von
Jahr
High-performance computing using FPGAs
W Vanderbauwhede, K Benkrid
Springer 3, 33-38, 2013
1642013
Resource-efficient neural networks for embedded systems
W Roth, G Schindler, B Klein, R Peharz, S Tschiatschek, H Fröning, ...
arXiv preprint arXiv:2001.03048, 2020
61*2020
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
572013
An overview of MPI characteristics of exascale proxy applications
B Klenk, H Fröning
High Performance Computing: 32nd International Conference, ISC High …, 2017
552017
The HTX-board: a rapid prototyping station
H Fröning, M Nüssle, D Slogsnat, H Litz, U Brüning
3rd annual FPGAworld Conference, 2006
482006
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
452017
VELO: A novel communication engine for ultra-low latency message transfers
H Litz, H Froening, M Nuessle, U Bruening
2008 37th International Conference on Parallel Processing, 238-245, 2008
452008
A simple model for portable and fast prediction of execution time and power consumption of GPU kernels
L Braun, S Nikas, C Song, V Heuveline, H Fröning
ACM Transactions on Architecture and Code Optimization (TACO) 18 (1), 1-25, 2020
442020
Efficient hardware support for the partitioned global address space
H Fröning, H Litz
2010 IEEE International Symposium on Parallel & Distributed Processing …, 2010
422010
Optimizing the data-collection time of a large-scale data-acquisition system through a simulation framework
T Colombo, H Fröning, PJ Garcìa, W Vandelli
The Journal of Supercomputing 72, 4546-4572, 2016
412016
On achieving high message rates
H Fröning, M Nüssle, H Litz, C Leber, U Brüning
2013 13th IEEE/ACM International Symposium on Cluster, Cloud, and Grid …, 2013
352013
Cuda flux: A lightweight instruction profiler for cuda applications
L Braun, H Fröning
2019 IEEE/ACM Performance Modeling, Benchmarking and Simulation of High …, 2019
312019
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
302014
An FPGA-based custom high performance interconnection network
M Nüssle, B Geib, H Fröning, U Brüning
2009 International Conference on Reconfigurable Computing and FPGAs, 113-118, 2009
292009
Relaxations for high-performance message passing on massively parallel SIMT processors
B Klenk, H Fröening, H Eberle, L Dennison
2017 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2017
282017
Exploring time and energy for complex accesses to a hybrid memory cube
J Schmidt, H Fröning, U Brüning
Proceedings of the Second International Symposium on Memory Systems, 142-150, 2016
222016
cCUDA: Effective co-scheduling of concurrent kernels on GPUs
SK Shekofteh, H Noori, M Naghibzadeh, H Fröning, HS Yazdi
IEEE Transactions on Parallel and Distributed Systems 31 (4), 766-778, 2019
202019
Training discrete-valued neural networks with sign activations using weight distributions
W Roth, G Schindler, H Fröning, F Pernkopf
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2020
192020
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
192014
Early experiences with saving energy in direct interconnection networks
F Zahn, S Lammel, H Fröning
2017 IEEE 3rd International Workshop on High-Performance Interconnection …, 2017
182017
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