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Jürgen Teich
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- affiliation: University of Erlangen-Nuremberg, Germany
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2020 – today
- 2024
- [j126]Martín Letras, Joachim Falk, Jürgen Teich:
Exploring Multi-Reader Buffers and Channel Placement During Dataflow Network Mapping to Heterogeneous Many-Core Systems. IEEE Access 12: 39748-39769 (2024) - [j125]Christian Heidorn, Muhammad Sabih, Nicolai Meyerhöfer, Christian Schinabeck, Jürgen Teich, Frank Hannig:
Hardware-Aware Evolutionary Explainable Filter Pruning for Convolutional Neural Networks. Int. J. Parallel Program. 52(1-2): 40-58 (2024) - [j124]Jan Spieck, Stefan Wildermann, Jürgen Teich:
A Scenario-Based DVFS-Aware Hybrid Application Mapping Methodology for MPSoCs. ACM Trans. Design Autom. Electr. Syst. 29(4): 1-43 (2024) - [j123]Jens Trautmann, Paul Krüger, Andreas Becher, Stefan Wildermann, Jürgen Teich:
Design, Calibration, and Evaluation of Real-time Waveform Matching on an FPGA-based Digitizer at 10 GS/s. ACM Trans. Reconfigurable Technol. Syst. 17(2): 24:1-24:28 (2024) - [c497]Patrick Plagwitz, Frank Hannig, Jürgen Teich, Oliver Keszöcze:
SNN vs. CNN Implementations on FPGAs: An Empirical Evaluation. ARC 2024: 3-18 - [c496]Dominik Walter, Thomas Adamtschuk, Frank Hannig, Jürgen Teich:
Analysis and Optimization of Block LU Decomposition for Execution on Tightly Coupled Processor Arrays. ASAP 2024: 97-106 - [c495]Khalil Esper, Stefan Wildermann, Jürgen Teich:
Range-Based Run-time Requirement Enforcement of Non-Functional Properties on MPSoCs. DATE 2024: 1-2 - [c494]Muhammad Sabih, Batuhan Sesli, Frank Hannig, Jürgen Teich:
Accelerating DNNs Using Weight Clustering on RISC-V Custom Functional Units. DATE 2024: 1-2 - [c493]Tobias Hahn, Daniel Schüll, Stefan Wildermann, Jürgen Teich:
ABACUS: ASIP-Based Avro Schema-Customizable Parser Acceleration on FPGAs. DDECS 2024: 79-85 - [c492]Nils Wilbert, Stefan Wildermann, Jürgen Teich:
To Keep or Not to Keep - The Volatility of Replacement Policy Metadata in Hybrid Caches. DIMES@SOSP 2024: 17-24 - [c491]Patrick Plagwitz, Frank Hannig, Jürgen Teich, Oliver Keszöcze:
DSL-Based SNN Accelerator Design Using Chisel. DSD 2024: 176-184 - [c490]Paul Krüger, Stefan Wildermann, Jürgen Teich:
CRESTS: Chronology-based Reconstruction for Side-Channel Trace Segmentation for XTS-AES on Complex Targets. EuroSec@EUROSYS 2024: 37-43 - [c489]Tobias Hahn, Stefan Wildermann, Jürgen Teich:
JSON-CooP: A JSON Decompression/Parsing Co-Design for FPGAs. FPL 2024: 11-18 - [c488]Khalil Esper, Jürgen Teich:
History-Based Run-Time Requirement Enforcement of Non-Functional Properties on MPSoCs. NG-RES@HiPEAC 2024: 4:1-4:11 - [c487]Dominik Walter, Marcel Brand, Christian Heidorn, Michael Witterauf, Frank Hannig, Jürgen Teich:
ALPACA: An Accelerator Chip for Nested Loop Programs. ISCAS 2024: 1-5 - [c486]Pierre-Louis Sixdenier, Stefan Wildermann, Jürgen Teich:
GRES: Guaranteed Remaining Energy Scheduling of Energy-harvesting Sensors by Quality Adaptation. MECO 2024: 1-5 - [c485]Abrarul Karim, Joachim Falk, Dennis Schmidt, Jürgen Teich:
Self-Powering Dataflow Networks - Concepts and Implementation. MEMOCODE 2024: 69-74 - [c484]Christian Heidorn, Frank Hannig, Dominik Riedelbauch, Christoph Strohmeyer, Jürgen Teich:
Efficient Deployment of Neural Networks for Thermal Monitoring on AURIX TC3xx Microcontrollers. VEHITS 2024: 64-75 - [i45]Christian Heidorn, Frank Hannig, Dominik Riedelbauch, Christoph Strohmeyer, Jürgen Teich:
OpTC - A Toolchain for Deployment of Neural Networks on AURIX TC3xx Microcontrollers. CoRR abs/2404.15833 (2024) - [i44]Mark Deutel, Frank Hannig, Christopher Mutschler, Jürgen Teich:
On-Device Training of Fully Quantized Deep Neural Networks on Cortex-M Microcontrollers. CoRR abs/2407.10734 (2024) - [i43]Mark Deutel, Christopher Mutschler, Jürgen Teich:
microYOLO: Towards Single-Shot Object Detection on Microcontrollers. CoRR abs/2408.15865 (2024) - 2023
- [j122]Alberto Bosio, Mario Barbareschi, Alessandro Savino, Jie Han, Jürgen Teich:
Special Issue on Approximate Computing: Challenges, Methodologies, Algorithms, and Architectures for Dependable and Secure Systems. IEEE Des. Test 40(3): 5-7 (2023) - [j121]Chetana Pradhan, Martín Letras, Jürgen Teich:
Efficient Table-based Function Approximation on FPGAs Using Interval Splitting and BRAM Instantiation. ACM Trans. Embed. Comput. Syst. 22(4): 73:1-73:24 (2023) - [j120]Jan Spieck, Stefan Wildermann, Jürgen Teich:
A Learning-based Methodology for Scenario-aware Mapping of Soft Real-time Applications onto Heterogeneous MPSoCs. ACM Trans. Design Autom. Electr. Syst. 28(1): 4:1-4:40 (2023) - [j119]Khalil Esper, Stefan Wildermann, Jürgen Teich:
Automatic Synthesis of FSMs for Enforcing Non-functional Requirements on MPSoCs Using Multi-objective Evolutionary Algorithms. ACM Trans. Design Autom. Electr. Syst. 28(6): 98:1-98:20 (2023) - [c483]Tobias Hahn, Daniel Schüll, Stefan Wildermann, Jürgen Teich:
An FPGA Avro Parser Generator for Accelerated Data Stream Processing. BTW 2023: 729-749 - [c482]Jörg Henkel, Lokesh Siddhu, Lars Bauer, Jürgen Teich, Stefan Wildermann, Mehdi B. Tahoori, Mahta Mayahinia, Jerónimo Castrillón, Asif Ali Khan, Hamid Farzaneh, João Paulo C. de Lima, Jian-Jia Chen, Christian Hakert, Kuan-Hsun Chen, Chia-Lin Yang, Hsiang-Yun Cheng:
Special Session - Non-Volatile Memories: Challenges and Opportunities for Embedded System Architectures with Focus on Machine Learning Applications. CASES 2023: 11-20 - [c481]Pierre-Louis Sixdenier, Stefan Wildermann, Martin Ottens, Jürgen Teich:
Seque: Lean and Energy-aware Data Management for IoT Gateways. EDGE 2023: 133-139 - [c480]Muhammad Sabih, Mikail Yayla, Frank Hannig, Jürgen Teich, Jian-Jia Chen:
Robust and Tiny Binary Neural Networks using Gradient-based Explainability Methods. EuroMLSys@EuroSys 2023: 87-93 - [c479]Tobias Hahn, Stefan Wildermann, Jürgen Teich:
SPEAR-JSON: Selective Parsing of JSON to Enable Accelerated Stream Processing on FPGAs. FPL 2023: 189-196 - [c478]Martín Letras, Joachim Falk, Jürgen Teich:
Throughput and Memory Optimization for Parallel Implementations of Dataflow Networks Using Multi-Reader Buffers. NG-RES@HiPEAC 2023: 6:1-6:13 - [c477]Khalil Esper, Jan Spieck, Pierre-Louis Sixdenier, Stefan Wildermann, Jürgen Teich:
RAVEN: Reinforcement Learning for Generating Verifiable Run-Time Requirement Enforcers for MPSoCs. NG-RES@HiPEAC 2023: 7:1-7:16 - [c476]Mark Deutel, Philipp Woller, Christopher Mutschler, Jürgen Teich:
Energy-efficient Deployment of Deep Learning Applications on Cortex-M based Microcontrollers using Deep Compression. MBMV 2023: 1-12 - [c475]Jan Spieck, Pierre-Louis Sixdenier, Khalil Esper, Stefan Wildermann, Jürgen Teich:
Hybrid Genetic Reinforcement Learning for Generating Run-Time Requirement Enforcers. MEMOCODE 2023: 23-35 - [i42]Mark Deutel, Georgios D. Kontes, Christopher Mutschler, Jürgen Teich:
Augmented Random Search for Multi-Objective Bayesian Optimization of Neural Networks. CoRR abs/2305.14109 (2023) - [i41]Patrick Plagwitz, Frank Hannig, Jürgen Teich, Oliver Keszöcze:
To Spike or Not to Spike? A Quantitative Comparison of SNN and CNN FPGA Implementations. CoRR abs/2306.12742 (2023) - [i40]Martín Letras, Joachim Falk, Jürgen Teich:
Exploring Multi-Reader Buffers and Channel Placement during Dataflow Network Mapping to Heterogeneous Many-core Systems. CoRR abs/2311.17473 (2023) - 2022
- [j118]Behnaz Pourmohseni, Stefan Wildermann, Fedor Smirnov, Paul E. Meyer, Jürgen Teich:
Task Migration Policy for Thermal-Aware Dynamic Performance Optimization in Many-Core Systems. IEEE Access 10: 33787-33802 (2022) - [j117]Samer Alhaddad, Jens Förstner, Stefan Groth, Daniel Grünewald, Yevgen Grynko, Frank Hannig, Tobias Kenter, Franz-Josef Pfreundt, Christian Plessl, Merlind Schotte, Thomas Steinke, Jürgen Teich, Martin Weiser, Florian Wende:
The HighPerMeshes framework for numerical algorithms on unstructured grids. Concurr. Comput. Pract. Exp. 34(14) (2022) - [j116]Jorge Echavarria, Stefan Wildermann, Oliver Keszöcze, Faramarz Khosravi, Andreas Becher, Jürgen Teich:
Design and error analysis of accuracy-configurable sequential multipliers via segmented carry chains. it Inf. Technol. 64(3): 89-98 (2022) - [j115]Jan Sommer, M. Akif Özkan, Oliver Keszöcze, Jürgen Teich:
Efficient Hardware Acceleration of Sparsely Active Convolutional Spiking Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 3767-3778 (2022) - [j114]Jan Spieck, Stefan Wildermann, Jürgen Teich:
On Transferring Application Mapping Knowledge Between Differing MPSoC Architectures. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 4289-4300 (2022) - [j113]Marcel Brand, Frank Hannig, Oliver Keszöcze, Jürgen Teich:
Precision- and Accuracy-Reconfigurable Processor Architectures - An Overview. IEEE Trans. Circuits Syst. II Express Briefs 69(6): 2661-2666 (2022) - [j112]Jens Trautmann, Arthur Beckers, Lennert Wouters, Stefan Wildermann, Ingrid Verbauwhede, Jürgen Teich:
Semi-Automatic Locating of Cryptographic Operations in Side-Channel Traces. IACR Trans. Cryptogr. Hardw. Embed. Syst. 2022(1): 345-366 (2022) - [j111]Franz-Josef Streit, Paul Krüger, Andreas Becher, Stefan Wildermann, Jürgen Teich:
Design and Evaluation of a Tunable PUF Architecture for FPGAs. ACM Trans. Reconfigurable Technol. Syst. 15(1): 7:1-7:27 (2022) - [c474]Jens Trautmann, Nikolaos Patsiatzis, Andreas Becher, Stefan Wildermann, Jürgen Teich:
Putting IMT to the Test: Revisiting and Expanding Interval Matching Techniques and their Calibration for SCA. ASHES@CCS 2022: 65-74 - [c473]Tobias Hahn, Andreas Becher, Stefan Wildermann, Jürgen Teich:
Raw Filtering of JSON Data on FPGAs. DATE 2022: 250-255 - [c472]Muhammad Sabih, Frank Hannig, Jürgen Teich:
DyFiP: explainable AI-based dynamic filter pruning of convolutional neural networks. EuroMLSys@EuroSys 2022: 109-115 - [c471]Jens Trautmann, Jürgen Teich, Stefan Wildermann:
Characterization of Side Channels on FPGA-based Off-The-Shelf Boards against Automated Attacks. FCCM 2022: 1-9 - [c470]Patrick Plagwitz, Frank Hannig, Jürgen Teich:
TRAC: Compilation-Based Design of Transformer Accelerators for FPGAs. FPL 2022: 17-23 - [c469]Jens Trautmann, Nikolaos Patsiatzis, Andreas Becher, Jürgen Teich, Stefan Wildermann:
Real-Time Waveform Matching with a Digitizer at 10 GS/s. FPL 2022: 94-100 - [c468]Jan Sommer, M. Akif Özkan, Oliver Keszöcze, Jürgen Teich:
DSP-Packing: Squeezing Low-precision Arithmetic into FPGA DSP Blocks. FPL 2022: 160-166 - [c467]Tobias Hahn, Stefan Wildermann, Jürgen Teich:
Auto-Tuning of Raw Filters for FPGAs. FPL 2022: 167-175 - [c466]Muhammad Sabih, Ashutosh Mishra, Frank Hannig, Jürgen Teich:
MOSP: Multi-Objective Sensitivity Pruning of Deep Neural Networks. IGSC 2022: 1-8 - [c465]Khalil Esper, Stefan Wildermann, Jürgen Teich:
Multi-Requirement Enforcement of Non-Functional Properties on MPSoCs Using Enforcement FSMs - A Case Study. NG-RES@HiPEAC 2022: 2:1-2:13 - [c464]Peter Brand, Benjamin Hackenberg, Joachim Falk, Jürgen Teich:
Grant Prediction-based Dynamic Power Management for 5G to Reduce Mobile Device Energy Consumption. IWCMC 2022: 647-652 - [c463]Christian Heidorn, Nicolai Meyerhöfer, Christian Schinabeck, Frank Hannig, Jürgen Teich:
Hardware-Aware Evolutionary Filter Pruning. SAMOS 2022: 283-299 - [c462]Pierre-Louis Sixdenier, Stefan Wildermann, Daniel Ziegler, Jürgen Teich:
SIDAM: A Design Space Exploration Framework for Multi-sensor Embedded Systems Powered by Energy Harvesting. SAMOS 2022: 329-345 - [i39]Jan Sommer, M. Akif Özkan, Oliver Keszöcze, Jürgen Teich:
DSP-Packing: Squeezing Low-precision Arithmetic into FPGA DSP Blocks. CoRR abs/2203.11028 (2022) - [i38]Jan Sommer, M. Akif Özkan, Oliver Keszöcze, Jürgen Teich:
Efficient Hardware Acceleration of Sparsely Active Convolutional Spiking Neural Networks. CoRR abs/2203.12437 (2022) - [i37]Chetana Pradhan, Martín Letras, Jürgen Teich:
Efficient Table-based Function Approximation on FPGAs using Interval Splitting and BRAM Instantiation. CoRR abs/2204.02443 (2022) - [i36]Tobias Hahn, Andreas Becher, Stefan Wildermann, Jürgen Teich:
Raw Filtering of JSON Data on FPGAs. CoRR abs/2205.05464 (2022) - [i35]Mark Deutel, Philipp Woller, Christopher Mutschler, Jürgen Teich:
Deployment of Energy-Efficient Deep Learning Models on Cortex-M based Microcontrollers using Deep Compression. CoRR abs/2205.10369 (2022) - [i34]Jens Trautmann, Nikolaos Patsiatzis, Andreas Becher, Jürgen Teich, Stefan Wildermann:
Real-Time Waveform Matching with a Digitizer at 10 GS/s. CoRR abs/2206.10368 (2022) - 2021
- [j110]Frank Hannig, Jürgen Teich:
Open Source Hardware. Computer 54(10): 111-115 (2021) - [j109]Marcel Brand, Michael Witterauf, Éricles Sousa, Alexandru Tanase, Frank Hannig, Jürgen Teich:
*-Predictable MPSoC execution of real-time control applications using invasive computing. Concurr. Comput. Pract. Exp. 33(14) (2021) - [j108]Lekshmi Beena Gopalakrishnan Nair, Andreas Becher, Stefan Wildermann, Klaus Meyer-Wegener, Jürgen Teich:
Speculative Dynamic Reconfiguration and Table Prefetching Using Query Look-Ahead in the ReProVide Near-Data-Processing System. Datenbank-Spektrum 21(1): 55-64 (2021) - [j107]M. Akif Özkan, Burak Ok, Bo Qiao, Jürgen Teich, Frank Hannig:
HipaccVX: wedding of OpenVX and DSL-based code generation. J. Real Time Image Process. 18(3): 765-777 (2021) - [j106]Michael Witterauf, Dominik Walter, Frank Hannig, Jürgen Teich:
Symbolic Loop Compilation for Tightly Coupled Processor Arrays. ACM Trans. Embed. Comput. Syst. 20(5): 49:1-49:31 (2021) - [j105]Faramarz Khosravi, Alexander Raß, Jürgen Teich:
Efficient Computation of Probabilistic Dominance in Multi-objective Optimization. ACM Trans. Evol. Learn. Optim. 1(4): 15:1-15:26 (2021) - [j104]Peter Brand, Joachim Falk, Jonathan Ah Sue, Johannes Brendel, Ralph Hasholzner, Jürgen Teich:
Adaptive Predictive Power Management for Mobile LTE Devices. IEEE Trans. Mob. Comput. 20(8): 2518-2535 (2021) - [j103]Martín Letras, Joachim Falk, Tobias Schwarzer, Jürgen Teich:
Multi-objective Optimization of Mapping Dataflow Applications to MPSoCs Using a Hybrid Evaluation Combining Analytic Models and Measurements. ACM Trans. Design Autom. Electr. Syst. 26(3): 18:1-18:33 (2021) - [c461]Franz-Josef Streit, Stefan Wildermann, Michael Pschyklenk, Jürgen Teich:
Providing Tamper-Secure SoC Updates Through Reconfigurable Hardware. ARC 2021: 242-253 - [c460]Jürgen Teich, Pouya Mahmoody, Behnaz Pourmohseni, Sascha Roloff, Wolfgang Schröder-Preikschat, Stefan Wildermann:
Run-Time Enforcement of Non-functional Program Properties on MPSoCs. A Journey of Embedded and Cyber-Physical Systems 2021: 125-149 - [c459]Peter Brand, Joachim Falk, Tanja Maier, Jürgen Teich:
Simulating Realistic IoT Network Traffic Using Similarity-based DSE. CSCI 2021: 1377-1380 - [c458]Jorge Echavarria, Stefan Wildermann, Jürgen Teich:
Approximate Logic Synthesis of Very Large Boolean Networks. DATE 2021: 1552-1557 - [c457]Muhammad Sabih, Frank Hannig, Jürgen Teich:
Fault-Tolerant Low-Precision DNNs using Explainable AI. DSN Workshops 2021: 166-174 - [c456]Alberto Bosio, Ian O'Connor, Marcello Traiola, Jorge Echavarria, Jürgen Teich, Muhammad Abdullah Hanif, Muhammad Shafique, Said Hamdioui, Bastien Deveautour, Patrick Girard, Arnaud Virazel, Koen Bertels:
Emerging Computing Devices: Challenges and Opportunities for Test and Reliability*. ETS 2021: 1-10 - [c455]Patrick Plagwitz, Frank Hannig, Martin Ströbel, Christoph Strohmeyer, Jürgen Teich:
A Safari through FPGA-based Neural Network Compilation and Design Automation Flows. FCCM 2021: 10-19 - [c454]Franz-Josef Streit, Paul Krüger, Andreas Becher, Jens Schlumberger, Stefan Wildermann, Jürgen Teich:
Choice - A Tunable PUF-Design for FPGAs. FPL 2021: 38-44 - [c453]Christian Heidorn, Dominik Walter, Yunus Emre Candir, Frank Hannig, Jürgen Teich:
Hand Sign Recognition via Deep Learning on Tightly Coupled Processor Arrays. FPL 2021: 388 - [c452]Khalil Esper, Stefan Wildermann, Jürgen Teich:
A Comparative Evaluation of Latency-Aware Energy Optimization Approaches in Many-Core Systems (Invited Paper). NG-RES@HiPEAC 2021: 1:1-1:12 - [c451]Marcello Traiola, Jorge Echavarria, Alberto Bosio, Jürgen Teich, Ian O'Connor:
Design Space Exploration of Approximation-Based Quadruple Modular Redundancy Circuits. ICCAD 2021: 1-9 - [c450]Bo Qiao, Jürgen Teich, Frank Hannig:
An Efficient Approach for Image Border Handling on GPUs via Iteration Space Partitioning. IPDPS Workshops 2021: 387-396 - [c449]Peter Brand, Joachim Falk, Eduard Potwigin, Jürgen Teich:
Multi-Step Ahead Grant Prediction for Dynamic Power Management in Cellular Modems. ISNCC 2021: 1-6 - [c448]Martín Letras, Joachim Falk, Jürgen Teich:
Decision Tree-based Throughput Estimation to Accelerate Design Space Exploration for Multi-Core Applications. MBMV 2021: 1-11 - [c447]Khalil Esper, Stefan Wildermann, Jürgen Teich:
Enforcement FSMs: specification and verification of non-functional properties of program executions on MPSoCs. MEMOCODE 2021: 21-31 - [c446]Dominik Walter, Jürgen Teich:
LION: real-time I/O transfer control for massively parallel processor arrays. MEMOCODE 2021: 32-43 - [c445]Jan Spieck, Stefan Wildermann, Jürgen Teich:
Domain-Adaptive Soft Real-Time Hybrid Application Mapping for MPSoCs. MLCAD 2021: 1-6 - [c444]Jens Schlumberger, Stefan Wildermann, Jürgen Teich:
CORSICA: A Framework for Conducting Real-World Side-Channel Analysis. NTMS 2021: 1-5 - [c443]Armin Schuster, Christian Heidorn, Marcel Brand, Oliver Keszöcze, Jürgen Teich:
Design Space Exploration of Time, Energy, and Error Rate Trade-offs for CNNs Using Accuracy-Programmable Instruction Set Processors. PKDD/ECML Workshops (1) 2021: 375-389 - [c442]Oliver Keszöcze, Marcel Brand, Michael Witterauf, Christian Heidorn, Jürgen Teich:
Aarith: an arbitrary precision number library. SAC 2021: 529-534 - [c441]Stefan Groth, Jürgen Teich, Frank Hannig:
Efficient Application of Tensor Core Units for Convolving Images. SCOPES 2021: 1-6 - [i33]Michael Witterauf, Dominik Walter, Frank Hannig, Jürgen Teich:
Symbolic Loop Compilation for Tightly Coupled Processor Arrays. CoRR abs/2101.04395 (2021) - [i32]Jorge Echavarria, Stefan Wildermann, Oliver Keszöcze, Faramarz Khosravi, Andreas Becher, Jürgen Teich:
On the Approximation of Accuracy-configurable Sequential Multipliers via Segmented Carry Chains. CoRR abs/2105.05588 (2021) - 2020
- [j102]Sandra Mattauch, Katja Lohmann, Frank Hannig, Daniel Lohmann, Jürgen Teich:
A bibliometric approach for detecting the gender gap in computer science. Commun. ACM 63(5): 74-80 (2020) - [j101]M. Akif Özkan, Arsène Pérard-Gayot, Richard Membarth, Philipp Slusallek, Roland Leißa, Sebastian Hack, Jürgen Teich, Frank Hannig:
AnyHLS: High-Level Synthesis With Partial Evaluation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(11): 3202-3214 (2020) - [c440]Bo Wang, Aneek Imtiaz, Joachim Falk, Michael Glaß, Jürgen Teich:
Exploration of Power Domain Partitioning with Concurrent Task Mapping and Scheduling for Application-Specific Multi-core SoCs. ARCS 2020: 153-167 - [c439]Marcel Brand, Michael Witterauf, Alberto Bosio, Jürgen Teich:
Anytime Floating-Point Addition and Multiplication-Concepts and Implementations. ASAP 2020: 157-164 - [c438]Jürgen Teich, Behnaz Pourmohseni, Oliver Keszöcze, Jan Spieck, Stefan Wildermann:
Run-Time Enforcement of Non-Functional Application Requirements in Heterogeneous Many-Core Systems. ASP-DAC 2020: 629-636 - [c437]Stefan Groth, Daniel Grünewald, Jürgen Teich, Frank Hannig:
A runtime system for finite element methods in a partitioned global address space. CF 2020: 39-48 - [c436]Jorge Echavarria, Stefan Wildermann, Oliver Keszöcze, Jürgen Teich:
Probabilistic Error Propagation through Approximated Boolean Networks. DAC 2020: 1-6 - [c435]Bo Qiao, M. Akif Özkan, Jürgen Teich, Frank Hannig:
The Best of Both Worlds: Combining CUDA Graph with an Image Processing DSL. DAC 2020: 1-6 - [c434]Jan Spieck, Stefan Wildermann, Jürgen Teich:
Scenario-Based Soft Real-Time Hybrid Application Mapping for MPSoCs. DAC 2020: 1-6 - [c433]Fedor Smirnov, Behnaz Pourmohseni, Jürgen Teich:
Using Learning Classifier Systems for the DSE of Adaptive Embedded Systems. DATE 2020: 957-962 - [c432]Lekshmi B. G., Andreas Becher, Klaus Meyer-Wegener, Stefan Wildermann, Jürgen Teich:
SQL Query Processing Using an Integrated FPGA-based Near-Data Accelerator in ReProVide. EDBT 2020: 639-642 - [c431]Samer Alhaddad, Jens Förstner, Stefan Groth, Daniel Grünewald, Yevgen Grynko, Frank Hannig, Tobias Kenter, Franz-Josef Pfreundt, Christian Plessl, Merlind Schotte, Thomas Steinke, Jürgen Teich, Martin Weiser, Florian Wende:
HighPerMeshes - A Domain-Specific Language for Numerical Algorithms on Unstructured Grids. Euro-Par Workshops 2020: 185-196 - [c430]Bertrand Simon, Joachim Falk, Nicole Megow, Jürgen Teich:
Energy Minimization in DAG Scheduling on MPSoCs at Run-Time: Theory and Practice. NG-RES@HiPEAC 2020: 2:1-2:13 - [c429]Behnaz Pourmohseni, Fedor Smirnov, Stefan Wildermann, Jürgen Teich:
Real-Time Task Migration for Dynamic Resource Management in Many-Core Systems. NG-RES@HiPEAC 2020: 5:1-5:14 - [c428]Franz-Josef Streit, Florian Fritz, Andreas Becher, Stefan Wildermann, Stefan Werner, Martin Schmidt-Korth, Michael Pschyklenk, Jürgen Teich:
Secure Boot from Non-Volatile Memory for Programmable SoC Architectures. HOST 2020: 102-110 - [c427]Dominik Walter, Michael Witterauf, Jürgen Teich:
Real-time Scheduling of I/O Transfers for Massively Parallel Processor Arrays. MEMOCODE 2020: 1-11 - [c426]Bo Qiao, Oliver Reiche, Jürgen Teich, Frank Hannig:
Unveiling kernel concurrency in multiresolution filters on GPUs with an image processing DSL. GPGPU@PPoPP 2020: 11-20 - [c425]Christian Heidorn, Frank Hannig, Jürgen Teich:
Design space exploration for layer-parallel execution of convolutional neural networks on CGRAs. SCOPES 2020: 26-31 - [c424]Bo Qiao, Oliver Reiche, M. Akif Özkan, Jürgen Teich, Frank Hannig:
Efficient parallel reduction on GPUs with Hipacc. SCOPES 2020: 58-61 - [c423]Arvind Thumatti K. R., Marcel Brand, Christian Heidorn, Srinivas Boppu, Frank Hannig, Jürgen Teich:
Hardware Implementation of Hyperbolic Tangent Activation Function for Floating Point Formats. VDAT 2020: 1-6 - [c422]