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ORCIDHolger Fröning
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- affiliation: Heidelberg University, Institute of Computer Engineering, Germany
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2020 – today
- 2024
[j18]Wolfgang Roth, Günther Schindler, Bernhard Klein, Robert Peharz, Sebastian Tschiatschek, Holger Fröning, Franz Pernkopf, Zoubin Ghahramani:
Resource-Efficient Neural Networks for Embedded Systems. J. Mach. Learn. Res. 25: 50:1-50:51 (2024)- [j17]Jonas Dann
, Daniel Ritter, Holger Fröning:
GraphScale: Scalable Processing on FPGAs for HBM and Large Graphs. ACM Trans. Reconfigurable Technol. Syst. 17(2): 22:1-22:23 (2024) - [c66]Vahdaneh Kiani, Oliver Jäkel, Holger Fröning:
CLAIRE-ROP: Rapid Partitioning-based Deformable Image Registration on Multi-GPU Accelerator. ICMHI 2024: 1-12 - [c65]Franz Kevin Stehle, Wainer Vandelli, Felix Zahn, Giuseppe Avolio, Holger Fröning:
DeepHYDRA: A Hybrid Deep Learning and DBSCAN-Based Approach to Time-Series Anomaly Detection in Dynamically-Configured Systems. ICS 2024: 272-285 - [c64]Hendrik Borras, Bernhard Klein, Holger Fröning:
Walking Noise: On Layer-Specific Robustness of Neural Architectures Against Noisy Computations and Associated Characteristic Learning Dynamics. ECML/PKDD (4) 2024: 38-55 - [i25]Yannick Emonds, Kai Xi, Holger Fröning:
Implications of Noise in Resistive Memory on Deep Neural Networks for Image Classification. CoRR abs/2401.05820 (2024) - [i24]Jonas Dann, Tobias Götz, Daniel Ritter, Jana Giceva, Holger Fröning:
GraphMatch: Subgraph Query Processing on FPGAs. CoRR abs/2402.17559 (2024) - [i23]Franz Kevin Stehle, Wainer Vandelli, Giuseppe Avolio, Felix Zahn, Holger Fröning:
DeepHYDRA: Resource-Efficient Time-Series Anomaly Detection in Dynamically-Configured Systems. CoRR abs/2405.07749 (2024) - [i22]Daniel Barley, Holger Fröning:
Less Memory Means smaller GPUs: Backpropagation with Compressed Activations. CoRR abs/2409.11902 (2024) - 2023
- [j16]Laura Promberger, Rainer Schwemmer, Holger Fröning:
Characterization of data compression across CPU platforms and accelerators. Concurr. Comput. Pract. Exp. 35(20) (2023) - [j15]Jonas Dann, Daniel Ritter, Holger Fröning:
Non-relational Databases on FPGAs: Survey, Design Decisions, Challenges. ACM Comput. Surv. 55(11): 225:1-225:37 (2023) - [c63]Yannick Emonds, Lorenz Braun, Holger Fröning:
CUDAsap: Statically-Determined Execution Statistics as Alternative to Execution-Based Profiling. CCGrid 2023: 119-130 - [c62]Joachim Meyer, Aksel Alpay, Sebastian Hack, Holger Fröning, Vincent Heuveline:
Implementation Techniques for SPMD Kernels on CPUs. IWOCL 2023: 1:1-1:12 - [c61]S. Kazem Shekofteh, Christian Alles, Holger Fröning:
Reducing Memory Requirements for the IPU using Butterfly Factorizations. SC Workshops 2023: 1255-1263 - [e5]Irena Koprinska, Paolo Mignone, Riccardo Guidotti, Szymon Jaroszewicz, Holger Fröning, Francesco Gullo, Pedro M. Ferreira, Damian Roqueiro, Gaia Ceddia, Slawomir Nowaczyk, João Gama, Rita P. Ribeiro, Ricard Gavaldà, Elio Masciari, Zbigniew W. Ras, Ettore Ritacco, Francesca Naretto, Andreas Theissler, Przemyslaw Biecek, Wouter Verbeke, Gregor Schiele, Franz Pernkopf, Michaela Blott, Ilaria Bordino, Ivan Luciano Danesi, Giovanni Ponti, Lorenzo Severini, Annalisa Appice, Giuseppina Andresini, Ibéria Medeiros, Guilherme Graça, Lee A. D. Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Diego Saldana Miranda, Konstantinos Sechidis, Arif Canakoglu, Sara Pidò, Pietro Pinoli, Albert Bifet, Sepideh Pashami:
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part I. Communications in Computer and Information Science 1752, Springer 2023, ISBN 978-3-031-23617-4 [contents] - [e4]Irena Koprinska, Paolo Mignone, Riccardo Guidotti, Szymon Jaroszewicz, Holger Fröning, Francesco Gullo, Pedro M. Ferreira, Damian Roqueiro, Gaia Ceddia, Slawomir Nowaczyk, João Gama, Rita P. Ribeiro, Ricard Gavaldà, Elio Masciari, Zbigniew W. Ras, Ettore Ritacco, Francesca Naretto, Andreas Theissler, Przemyslaw Biecek, Wouter Verbeke, Gregor Schiele, Franz Pernkopf, Michaela Blott, Ilaria Bordino, Ivan Luciano Danesi, Giovanni Ponti, Lorenzo Severini, Annalisa Appice, Giuseppina Andresini, Ibéria Medeiros, Guilherme Graça, Lee A. D. Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Diego Saldana Miranda, Konstantinos Sechidis, Arif Canakoglu, Sara Pidò, Pietro Pinoli, Albert Bifet, Sepideh Pashami:
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part II. Communications in Computer and Information Science 1753, Springer 2023, ISBN 978-3-031-23632-7 [contents] - [i21]S. Kazem Shekofteh, Christian Alles, Holger Fröning:
Reducing Memory Requirements for the IPU using Butterfly Factorizations. CoRR abs/2309.08946 (2023) - [i20]Lisa Kuhn, Bernhard Klein, Holger Fröning:
On the Non-Associativity of Analog Computations. CoRR abs/2309.14292 (2023) - [i19]S. Kazem Shekofteh, Christian Alles, Nils Kochendörfer, Holger Fröning:
On Performance Analysis of Graphcore IPUs: Analyzing Squared and Skewed Matrix Multiplication. CoRR abs/2310.00256 (2023) - [i18]Daniel Barley, Holger Fröning:
Compressing the Backward Pass of Large-Scale Neural Architectures by Structured Activation Pruning. CoRR abs/2311.16883 (2023) - 2022
- [j14]Dennis Rieber, Axel Acosta, Holger Fröning:
Joint Program and Layout Transformations to Enable Convolutional Operators on Specialized Hardware Based on Constraint Programming. ACM Trans. Archit. Code Optim. 19(1): 7:1-7:26 (2022) - [c60]Jonas Dann, Royden Wagner, Daniel Ritter, Christian Faerber, Holger Fröning:
PipeJSON: Parsing JSON at Line Speed on FPGAs. DaMoN 2022: 3:1-3:7 - [c59]Jonas Dann, Daniel Ritter, Holger Fröning:
GraphScale: Scalable Bandwidth-Efficient Graph Processing on FPGAs. FPL 2022: 24-32 - [c58]Joachim Meyer, Aksel Alpay, Holger Fröning, Vincent Heuveline:
Compiler-aided nd-range parallel-for implementations on CPU in hipSYCL. IWOCL 2022: 28:1-28:3 - [i17]Dennis Rieber, Moritz Reiber, Oliver Bringmann, Holger Fröning:
HW-Aware Initialization of DNN Auto-Tuning to Improve Exploration Time and Robustness. CoRR abs/2205.15568 (2022) - [i16]Jonas Dann, Daniel Ritter, Holger Fröning:
GraphScale: Scalable Bandwidth-Efficient Graph Processing on FPGAs. CoRR abs/2206.08432 (2022) - [i15]Torben Krieger, Bernhard Klein, Holger Fröning:
Towards Hardware-Specific Automatic Compression of Neural Networks. CoRR abs/2212.07818 (2022) - [i14]Hendrik Borras, Bernhard Klein, Holger Fröning:
Walking Noise: Understanding Implications of Noisy Computations on Classification Tasks. CoRR abs/2212.10430 (2022) - 2021
- [j13]Lorenz Braun, Sotirios Nikas, Chen Song, Vincent Heuveline, Holger Fröning:
A Simple Model for Portable and Fast Prediction of Execution Time and Power Consumption of GPU Kernels. ACM Trans. Archit. Code Optim. 18(1): 7:1-7:25 (2021) - [c57]Jonas Dann, Daniel Ritter, Holger Fröning:
Exploring Memory Access Patterns for Graph Processing Accelerators. BTW 2021: 101-122 - [c56]Bernhard Klein, Lisa Kuhn, Johannes Weis, Arne Emmel, Yannik Stradmann, Johannes Schemmel, Holger Fröning:
Towards Addressing Noise and Static Variations of Analog Computations Using Efficient Retraining. PKDD/ECML Workshops (1) 2021: 409-420 - [c55]Jonas Dann, Daniel Ritter, Holger Fröning:
Demystifying memory access patterns of FPGA-based graph processing accelerators. GRADES-NDA@SIGMOD 2021: 3:1-3:10 - [e3]Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee A. D. Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça:
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part I. Communications in Computer and Information Science 1524, Springer 2021, ISBN 978-3-030-93735-5 [contents] - [e2]Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee A. D. Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça:
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part II. Communications in Computer and Information Science 1525, Springer 2021, ISBN 978-3-030-93732-4 [contents] - [i13]Bernhard Klein, Christoph Gratl, Manfred Mücke, Holger Fröning:
Understanding Cache Boundness of ML Operators on ARM Processors. CoRR abs/2102.00932 (2021) - [i12]Dennis Rieber, Axel Acosta, Holger Fröning:
The Programming of Deep Learning Accelerators as a Constraint Satisfaction Problem. CoRR abs/2104.04731 (2021) - [i11]Jonas Dann, Daniel Ritter, Holger Fröning:
Demystifying Memory Access Patterns of FPGA-Based Graph Processing Accelerators. CoRR abs/2104.07776 (2021) - [i10]Matthias Hauck, Ismail Oukid, Holger Fröning:
Scheduling of Graph Queries: Controlling Intra- and Inter-query Parallelism for a High System Throughput. CoRR abs/2110.10797 (2021) - 2020
- [j12]S. Kazem Shekofteh, Hamid Noori, Mahmoud Naghibzadeh, Holger Fröning, Hadi Sadoghi Yazdi:
cCUDA: Effective Co-Scheduling of Concurrent Kernels on GPUs. IEEE Trans. Parallel Distributed Syst. 31(4): 766-778 (2020) - [c54]Markus Huber, Günther Schindler, Christian Schörkhuber, Wolfgang Roth, Franz Pernkopf, Holger Fröning:
Towards Real-Time Single-Channel Singing-Voice Separation with Pruned Multi-Scaled Densenets. ICASSP 2020: 806-810 - [c53]Felix Zahn, Holger Fröning:
On Network Locality in MPI-Based HPC Applications. ICPP 2020: 57:1-57:10 - [c52]Alexander Matz, Johannes Doerfert, Holger Fröning:
Automated Partitioning of Data-Parallel Kernels using Polyhedral Compilation. ICPP Workshops 2020: 13:1-13:10 - [c51]Laura Promberger, Rainer Schwemmer, Holger Fröning:
Assessing the Overhead of Offloading Compression Tasks. ICPP Workshops 2020: 15:1-15:10 - [c50]Wolfgang Roth, Franz Pernkopf, Günther Schindler, Holger Fröning:
On Resource-Efficient Bayesian Network Classifiers and Deep Neural Networks. ICPR 2020: 10297-10304 - [c49]Günther Schindler, Wolfgang Roth, Franz Pernkopf, Holger Fröning:
Parameterized Structured Pruning for Deep Neural Networks. LOD (2) 2020: 16-27 - [c48]Dennis Rieber, Holger Fröning:
Search Space Complexity of Iteration Domain Based Instruction Embedding for Deep Learning Accelerators. IoT Streams/ITEM@PKDD/ECML 2020: 213-228 - [c47]Kevin Stehle, Günther Schindler, Holger Fröning:
On the Difficulty of Designing Processor Arrays for Deep Neural Networks. IoT Streams/ITEM@PKDD/ECML 2020: 229-240 - [e1]João Gama, Sepideh Pashami, Albert Bifet, Moamar Sayed Mouchaweh, Holger Fröning, Franz Pernkopf, Gregor Schiele, Michaela Blott:
IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning - Second International Workshop, IoT Streams 2020, and First International Workshop, ITEM 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14-18, 2020, Revised Selected Papers. Communications in Computer and Information Science 1325, Springer 2020, ISBN 978-3-030-66769-6 [contents] - [i9]Wolfgang Roth, Günther Schindler, Matthias Zöhrer, Lukas Pfeifenberger, Robert Peharz, Sebastian Tschiatschek, Holger Fröning, Franz Pernkopf, Zoubin Ghahramani:
Resource-Efficient Neural Networks for Embedded Systems. CoRR abs/2001.03048 (2020) - [i8]Lorenz Braun, Sotirios Nikas, Chen Song, Vincent Heuveline, Holger Fröning:
A Simple Model for Portable and Fast Prediction of Execution Time and Power Consumption of GPU Kernels. CoRR abs/2001.07104 (2020) - [i7]Kevin Stehle, Günther Schindler, Holger Fröning:
On the Difficulty of Designing Processor Arrays for Deep Neural Networks. CoRR abs/2006.14008 (2020) - [i6]Jonas Dann, Daniel Ritter, Holger Fröning:
Non-Relational Databases on FPGAs: Survey, Design Decisions, Challenges. CoRR abs/2007.07595 (2020) - [i5]Lukas Pfeifenberger, Matthias Zöhrer, Günther Schindler, Wolfgang Roth, Holger Fröning, Franz Pernkopf:
Resource-Efficient Speech Mask Estimation for Multi-Channel Speech Enhancement. CoRR abs/2007.11477 (2020) - [i4]Wolfgang Roth, Günther Schindler, Holger Fröning, Franz Pernkopf:
On Resource-Efficient Bayesian Network Classifiers and Deep Neural Networks. CoRR abs/2010.11773 (2020) - [i3]Jonas Dann, Daniel Ritter, Holger Fröning:
Exploring Memory Access Patterns for Graph Processing Accelerators. CoRR abs/2010.13619 (2020)
2010 – 2019
- 2019
- [j11]Francisco J. Andujar, Juan A. Villar, José L. Sánchez, Francisco J. Alfaro, José Duato, Holger Fröning:
Constructing virtual 5-dimensional tori out of lower-dimensional network cards. Concurr. Comput. Pract. Exp. 31(2) (2019) - [j10]Felix Zahn, Steffen Lammel, Holger Fröning:
On link width scaling for energy-proportional direct interconnection networks. Concurr. Comput. Pract. Exp. 31(2) (2019) - [j9]S. Kazem Shekofteh, Hamid Noori, Mahmoud Naghibzadeh, Hadi Sadoghi Yazdi, Holger Fröning:
Metric Selection for GPU Kernel Classification. ACM Trans. Archit. Code Optim. 15(4): 68:1-68:27 (2019) - [c46]Alexander Matz, Holger Fröning:
Quantifying the NUMA Behavior of Partitioned GPGPU Applications. GPGPU@ASPLOS 2019: 53-62 - [c45]Felix Zahn, Pedro Yébenes, Jesús Escudero-Sahuquillo, Pedro Javier García, Holger Fröning:
Effects of Congestion Management on Energy Saving Techniques in Interconnection Networks. HiPINEB@HPCA 2019: 9-16 - [c44]Matthias Hauck, Marcus Paradies, Holger Fröning:
Software-Based Buffering of Associative Operations on Random Memory Addresses. IPDPS 2019: 943-952 - [c43]Wolfgang Roth, Günther Schindler, Holger Fröning, Franz Pernkopf:
Training Discrete-Valued Neural Networks with Sign Activations Using Weight Distributions. ECML/PKDD (2) 2019: 382-398 - [c42]Lorenz Braun, Holger Fröning:
CUDA Flux: A Lightweight Instruction Profiler for CUDA Applications. PMBS@SC 2019: 73-81 - [i2]Günther Schindler, Wolfgang Roth, Franz Pernkopf, Holger Fröning:
Parameterized Structured Pruning for Deep Neural Networks. CoRR abs/1906.05180 (2019) - 2018
- [j8]Holger Fröning, Federico Silla:
Heterogeneous and unconventional cluster architectures and applications. Concurr. Comput. Pract. Exp. 30(17) (2018) - [c41]Alejandro Santos, Wainer Vandelli, Pedro Javier García, Holger Fröning:
Buffer Provisioning for Large-Scale Data-Acquisition Systems. DEBS 2018: 100-111 - [c40]Felix Zahn, Armin Schoffer, Holger Fröning:
Evaluating Energy-Saving Strategies on Torus, K-Ary N-Tree, and Dragonfly. HiPINEB@HPCA 2018: 16-23 - [c39]Matthias Zöhrer, Lukas Pfeifenberger, Günther Schindler, Holger Fröning, Franz Pemkopf:
Resource Efficient Deep Eigenvector Beamforming. ICASSP 2018: 3354-3358 - [c38]Günther Schindler, Matthias Zöhrer, Franz Pernkopf, Holger Fröning:
Towards Efficient Forward Propagation on Resource-Constrained Systems. ECML/PKDD (1) 2018: 426-442 - [i1]Franz Pernkopf, Wolfgang Roth, Matthias Zöhrer, Lukas Pfeifenberger, Günther Schindler, Holger Fröning, Sebastian Tschiatschek, Robert Peharz, Matthew Mattina, Zoubin Ghahramani:
Efficient and Robust Machine Learning for Real-World Systems. CoRR abs/1812.02240 (2018) - 2017
- [j7]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) - [c37]Günther Schindler, Manfred Mücke, Holger Fröning:
Linking Application Description with Efficient SIMD Code Generation for Low-Precision Signed-Integer GEMM. Euro-Par Workshops 2017: 688-699 - [c36]Matthias Hauck, Marcus Paradies, Holger Fröning:
Can Modern Graph Processing Engines Run Concurrent Queries Efficiently? GRADES@SIGMOD/PODS 2017: 5:1-5:6 - [c35]Francisco J. Andujar, Juan A. Villar, José L. Sánchez, Francisco J. Alfaro, José Duato, Holger Fröning:
A Case Study on Implementing Virtual 5D Torus Networks Using Network Components of Lower Dimensionality. HiPINEB@HPCA 2017: 9-16 - [c34]Felix Zahn, Steffen Lammel, Holger Fröning:
Early Experiences with Saving Energy in Direct Interconnection Networks. HiPINEB@HPCA 2017: 33-40 - [c33]Alejandro Santos, Pedro Javier García, Wainer Vandelli, Holger Fröning:
Modeling and Validating Time, Buffering, and Utilization of a Large-Scale, Real-Time Data Acquisition System. HPCS 2017: 519-525 - [c32]Benjamin Klenk, Holger Fröning, Hans Eberle, Larry Dennison:
Relaxations for High-Performance Message Passing on Massively Parallel SIMT Processors. IPDPS 2017: 855-865 - [c31]Benjamin Klenk, Holger Fröning:
An Overview of MPI Characteristics of Exascale Proxy Applications. ISC 2017: 217-236 - 2016
- [j6]Federico Silla, Holger Fröning:
Heterogeneous cluster architectures and applications. Concurr. Comput. Pract. Exp. 28(8): 2319-2321 (2016) - [j5]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) - [j4]Tommaso Colombo, Holger Fröning, Pedro Javier García, Wainer Vandelli:
Optimizing the data-collection time of a large-scale data-acquisition system through a simulation framework. J. Supercomput. 72(12): 4546-4572 (2016) - [c30]Felix Zahn, Pedro Yébenes, Steffen Lammel, Pedro Javier García, Holger Fröning:
Analyzing the Energy (Dis-) Proportionality of Scalable Interconnection Networks. HiPINEB@HPCA 2016: 25-32 - [c29]Jeffrey S. Young, Julian Romera, Matthias Hauck, Holger Fröning:
Optimizing communication for a 2D-partitioned scalable BFS. HPEC 2016: 1-7 - [c28]Juri Schmidt, Holger Fröning, Ulrich Brüning:
Exploring Time and Energy for Complex Accesses to a Hybrid Memory Cube. MEMSYS 2016: 142-150 - [c27]Steffen Lammel, Felix Zahn, Holger Fröning:
SONAR: Automated Communication Characterization for HPC Applications. ISC Workshops 2016: 98-114 - 2015
- [j3]Javier Prades, Federico Silla, Holger Fröning, Mondrian Nüssle, José Duato:
On the design of a new dynamic credit-based end-to-end flow control mechanism for HPC clusters. Parallel Comput. 46: 32-59 (2015) - [c26]Tommaso Colombo, Holger Fröning, Pedro Javier García, Wainer Vandelli:
Modeling a Large Data-Acquisition Network in a Simulation Framework. CLUSTER 2015: 809-816 - [c25]Matthias Hauck, Marcus Paradies, Holger Fröning, Wolfgang Lehner, Hannes Rauhe:
Highspeed Graph Processing Exploiting Main-Memory Column Stores. Euro-Par Workshops 2015: 503-514 - [c24]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
- [j2]Federico Silla, Holger Fröning:
Special issue on unconventional cluster architectures and applications. Clust. Comput. 17(2): 291 (2014) - [c23]Lena Oden, Benjamin Klenk, Holger Fröning:
Energy-Efficient Collective Reduce and Allreduce Operations on Distributed GPUs. CCGRID 2014: 483-492 - [c22]Benjamin Klenk, Lena Oden, Holger Fröning:
Analyzing Put/Get APIs for Thread-Collaborative Processors. ICPP Workshops 2014: 411-418 - [c21]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 - [c20]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
- [c19]Holger Fröning, Mondrian Nüssle, Heiner Litz, Christian Leber, Ulrich Brüning:
On Achieving High Message Rates. CCGRID 2013: 498-505 - [c18]Lena Oden, Holger Fröning:
GGAS: Global GPU address spaces for efficient communication in heterogeneous clusters. CLUSTER 2013: 1-8 - [c17]Jeffrey S. Young, Se Hoon Shon, Sudhakar Yalamanchili, Alex Merritt, Karsten Schwan, Holger Fröning:
Oncilla: A GAS runtime for efficient resource allocation and data movement in accelerated clusters. CLUSTER 2013: 1-8 - [c16]Holger Fröning:
Data Movement Options in Accelerated Clusters. Euro-Par Workshops 2013: 418-422 - 2012
- [j1]Héctor Montaner, Federico Silla, Holger Fröning, José Duato:
A new degree of freedom for memory allocation in clusters. Clust. Comput. 15(2): 101-123 (2012) - [c15]Javier Prades, Federico Silla, José Duato, Holger Fröning, Mondrian Nüssle:
A New End-to-End Flow-Control Mechanism for High Performance Computing Clusters. CLUSTER 2012: 320-328 - 2011
- [c14]Héctor Montaner, Federico Silla, Holger Fröning, José Duato:
MEMSCALE: in-cluster-memory databases. CIKM 2011: 2569-2572 - [c13]Holger Fröning, Alexander Giese, Héctor Montaner, Federico Silla, José Duato:
Highly scalable barriers for future high-performance computing clusters. HiPC 2011: 1-10 - [c12]Héctor Montaner, Federico Silla, Holger Fröning, José Duato:
Unleash Your Memory-Constrained Applications: A 32-Node Non-coherent Distributed-Memory Prototype Cluster. HPCC 2011: 9-16 - [c11]Héctor Montaner, Federico Silla, Holger Fröning, José Duato:
MEMSCALETM: A Scalable Environment for Databases. HPCC 2011: 339-346 - [r1]Holger Fröning:
Network Interfaces. Encyclopedia of Parallel Computing 2011: 1292-1298 - 2010
- [c10]Héctor Montaner, Federico Silla, Holger Fröning, José Duato:
Getting Rid of Coherency Overhead for Memory-Hungry Applications. CLUSTER 2010: 48-57 - [c9]Holger Fröning, Heiner Litz:
Efficient hardware support for the Partitioned Global Address Space. IPDPS Workshops 2010: 1-6
2000 – 2009
- 2009
- [c8]Heiner Litz, Holger Fröning, Ulrich Brüning:
A HyperTransport 3 Physical Layer Interface for FPGAs. ARC 2009: 4-14 - [c7]Heiner Litz, Holger Fröning, Maximilian Thürmer, Ulrich Brüning:
An FPGA based verification platform for HyperTransport 3.x. FPL 2009: 631-634 - [c6]Holger Fröning, Heiner Litz, Ulrich Brüning:
Efficient Virtualization of High-Performance Network Interfaces. ICN 2009: 434-439 - [c5]Mondrian Nüssle, Benjamin Geib, Holger Fröning, Ulrich Brüning:
An FPGA-Based Custom High Performance Interconnection Network. ReConFig 2009: 113-118 - 2008
- [c4]Heiner Litz, Holger Fröning, Mondrian Nüssle, Ulrich Brüning:
VELO: A Novel Communication Engine for Ultra-Low Latency Message Transfers. ICPP 2008: 238-245 - 2007
- [b1]Holger Fröning:
Architectural improvements of interconnection network interfaces. University of Mannheim, Germany, 2007, pp. 1-214 - 2005
- [c3]Holger Fröning, Mondrian Nüssle, David Slogsnat, Patrick R. Haspel, Ulrich Brüning:
Performance Evaluation of the ATOLL Interconnect. Parallel and Distributed Computing and Networks 2005: 129-134 - [c2]Mondrian Nüssle, Holger Fröning, Ulrich Brüning:
Swordfish: A Simulator for High-Performance Networks. IASTED PDCS 2005: 530-535 - 2002
- [c1]Ulrich Brüning, Holger Fröning, Patrick R. Schulz, Lars Rzymianowicz:
ATOLL: Performance and Cost Optimization of a San Interconnect. IASTED PDCS 2002: 496-501
Coauthor Index
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