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Domenik Helms
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2020 – today
- 2024
- [i1]Nils Quetschlich, Tobias Forster, Adrian Osterwind, Domenik Helms, Robert Wille:
Towards Equivalence Checking of Classical Circuits Using Quantum Computing. CoRR abs/2408.14539 (2024) - 2023
- [c30]Quentin Dariol, Sébastien Le Nours, Domenik Helms, Ralf Stemmer, Sébastien Pillement, Kim Grüttner:
Fast Yet Accurate Timing and Power Prediction of Artificial Neural Networks Deployed on Clock-Gated Multi-Core Platforms. DroneSE/RAPIDO@HiPEAC 2023: 79-86 - 2022
- [c29]Pierpaolo Morì, Manoj Rohit Vemparala, Nael Fasfous, Saptarshi Mitra, Sreetama Sarkar, Alexander Frickenstein, Lukas Frickenstein, Domenik Helms, Naveen Shankar Nagaraja, Walter Stechele, Claudio Passerone:
Accelerating and pruning CNNs for semantic segmentation on FPGA. DAC 2022: 145-150 - [c28]Arunachalam Thirunavukkarasu, Domenik Helms:
Using Network Architecture Search for Optimizing Tensor Compression. IESS 2022: 139-150 - [c27]Adrian Osterwind, Julian Droste-Rehling, Manoj Rohit Vemparala, Domenik Helms:
Hardware Execution Time Prediction for Neural Network Layers. PKDD/ECML Workshops (1) 2022: 582-593 - [c26]Quentin Dariol, Sébastien Le Nours, Sébastien Pillement, Ralf Stemmer, Domenik Helms, Kim Grüttner:
A Hybrid Performance Prediction Approach for Fully-Connected Artificial Neural Networks on Multi-core Platforms. SAMOS 2022: 250-263 - 2020
- [c25]Alwyn Burger, Chao Qian, Gregor Schiele, Domenik Helms:
An Embedded CNN Implementation for On-Device ECG Analysis. PerCom Workshops 2020: 1-6
2010 – 2019
- 2018
- [j2]Domenik Helms, Reef Eilers, Malte Metzdorf, Wolfgang Nebel:
Leakage Models for High-Level Power Estimation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(8): 1627-1639 (2018) - 2017
- [c24]Nils Koppaetzky, Malte Metzdorf, Reef Eilers, Domenik Helms, Wolfgang Nebel:
Timing modeling at RT-level by separation of design- and stress related aging impacts. PATMOS 2017: 1-6 - [c23]Sunil Malipatlolla, Ahmet Unutulmaz, Domenik Helms, Wolfgang Nebel:
User dependent aging prediction model for automotive controllers with power electronics. PATMOS 2017: 1-6 - 2016
- [c22]Ahmet Unutulmaz, Domenik Helms, Reef Eilers, Malte Metzdorf, Ben Kaczer, Wolfgang Nebel:
Analysis of NBTI effects on high frequency digital circuits. DATE 2016: 223-228 - [c21]Nils Koppaetzky, Malte Metzdorf, Reef Eilers, Domenik Helms, Wolfgang Nebel:
RT level timing modeling for aging prediction. DATE 2016: 297-300 - 2014
- [c20]Patrick Knocke, Ralph Görgen, Jörg Walter, Domenik Helms, Wolfgang Nebel:
Using Early Power and Timing Estimations of Massively Heterogeneous Computation Platforms to Create Optimized HPC Applications. EUC 2014: 162-169 - [c19]Reef Eilers, Malte Metzdorf, Domenik Helms, Wolfgang Nebel:
Efficient NBTI modeling technique considering recovery effects. ISLPED 2014: 177-182 - 2013
- [c18]Lars Kosmann, Axel Reimer, Domenik Helms, Wolfgang Nebel:
Profilbasierte Energieabschätzung integrierter Schaltungen auf algorithmischer Ebene. MBMV 2013: 131-140 - [c17]Kai Hylla, Philipp A. Hartmann, Domenik Helms, Wolfgang Nebel:
Early Power & Timing Estimation of Custom Hardware Blocks based on Automatically Generated Combinatorial Macros. MBMV 2013: 147-158 - 2012
- [c16]Reef Eilers, Malte Metzdorf, Sven Rosinger, Domenik Helms, Wolfgang Nebel:
Phase Space Based NBTI Model. PATMOS 2012: 52-61 - 2011
- [c15]Sven Rosinger, Malte Metzdorf, Domenik Helms, Wolfgang Nebel:
Behavioral-level thermal- and aging-estimation flow. LATW 2011: 1-6
2000 – 2009
- 2009
- [j1]Sven Rosinger, Domenik Helms, Wolfgang Nebel:
RTL power modeling and estimation of sleep transistor based power gating. J. Embed. Comput. 3(3): 189-196 (2009) - [c14]Domenik Helms, Kai Hylla, Wolfgang Nebel:
Hybrid logical-statistical simulation with thermal and IR-drop mapping for degradation and variation prediction. ISLPED 2009: 33-38 - 2008
- [c13]Wolfgang Nebel, Domenik Helms:
On leakage currents: sources and reduction for transistors, gates, memories and digital systems. ISLPED 2008: 349-350 - [c12]Ruzica Jevtic, Carlos Carreras, Domenik Helms:
A Comparison of Approaches for High-Level Power Estimation of LUT-Based DSP Components. ReConFig 2008: 361-366 - 2007
- [c11]Domenik Helms, Wolfgang Nebel:
Logic design techniques for 65 to 45nm and below for reducing total energy and solving technology variations problems. ICECS 2007: 919-922 - [c10]Domenik Helms, Olaf Meyer, Marko Hoyer, Wolfgang Nebel:
Voltage- and ABB-island optimization in high level synthesis. ISLPED 2007: 153-158 - [c9]Marko Hoyer, Domenik Helms, Wolfgang Nebel:
Modelling the Impact of High Level Leakage Optimization Techniques on the Delay of RT-Components. PATMOS 2007: 171-180 - [c8]Sven Rosinger, Domenik Helms, Wolfgang Nebel:
RTL Power Modeling and Estimation of Sleep Transistor Based Power Gating. PATMOS 2007: 278-287 - 2006
- [c7]Domenik Helms, Günter Ehmen, Wolfgang Nebel:
Analysis and modeling of subthreshold leakage of RT-components under PTV and state variation. ISLPED 2006: 220-225 - [c6]Domenik Helms, Marko Hoyer, Wolfgang Nebel:
Accurate PTV, State, and ABB Aware RTL Blackbox Modeling of Subthreshold, Gate, and PN-Junction Leakage. PATMOS 2006: 56-65 - 2005
- [c5]Arne Schulz, Andreas Schallenberg, Domenik Helms, Milan Schulte, Axel Reimer, Wolfgang Nebel:
A High Level Constant Coefficient Multiplier Power Model for Power Estimation on High Levels of Abstraction. PATMOS 2005: 146-155 - 2004
- [c4]Domenik Helms, Eike Schmidt, Wolfgang Nebel:
Leakage in CMOS Circuits - An Introduction. PATMOS 2004: 17-35 - 2003
- [c3]Ansgar Stammermann, Domenik Helms, Milan Schulte, Arne Schulz, Wolfgang Nebel:
Binding, Allocation and Floorplanning in Low Power High-Level Synthesis. ICCAD 2003: 544-550 - [c2]Ansgar Stammermann, Domenik Helms, Milan Schulte, Arne Schulz, Wolfgang Nebel:
Interconnect Driven Low Power High-Level Synthesis. PATMOS 2003: 131-140 - 2002
- [c1]Domenik Helms, Eike Schmidt, Arne Schulz, Ansgar Stammermann, Wolfgang Nebel:
An Improved Power Macro-Model for Arithmetic Datapath Components. PATMOS 2002: 16-24
Coauthor Index
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last updated on 2024-10-07 22:22 CEST by the dblp team
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