Search Results - "Gemmeke, Tobias"

Efficiency Versus Accuracy: A Review of Design Techniques for DNN Hardware Accelerators by Latotzke, Cecilia, Gemmeke, Tobias

“…Deep neural networks (DNNs) have surpassed other algorithms in analyzing today's abundant data. Due to the security and delay requirements of the given…”
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Synthesizable Memory Arrays Based on Logic Gates for Subthreshold Operation in IoT by Xin Fan, Stuijt, Jan, Bo Liu, Gemmeke, Tobias

“…This paper identifies novel directions of standard-cell-based synthesizable memory design. A compact 18T-bitcell of OR-AND-Invert (OAI) and AND-OR-Invert (AOI)…”
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Toolflow for the algorithm-hardware co-design of memristive ANN accelerators by Wabnitz, Malte, Gemmeke, Tobias

“…The capabilities of artificial neural networks are rapidly evolving, so are the expectations for them to solve ever more challenging tasks in numerous everyday…”
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neuroAIx-Framework: design of future neuroscience simulation systems exhibiting execution of the cortical microcircuit model 20× faster than biological real-time by Kauth, Kevin, Stadtmann, Tim, Sobhani, Vida, Gemmeke, Tobias

“…Research in the field of computational neuroscience relies on highly capable simulation platforms. With real-time capabilities surpassed for established models…”
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Efficient ASIC Architecture for Low Latency Classic McEliece Decoding by Fallnich, Daniel, Lanius, Christian, Zhang, Shutao, Gemmeke, Tobias

“…Post-quantum cryptography addresses the increasing threat that quantum computing poses to modern communication systems. Among the available “quantum-resistant”…”
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From neuromorphic to neurohybrid: transition from the emulation to the integration of neuronal networks by Bruno, Ugo, Mariano, Anna, Rana, Daniela, Gemmeke, Tobias, Musall, Simon, Santoro, Francesca

“…The computation of the brain relies on the highly efficient communication among billions of neurons. Such efficiency derives from the brain’s plastic and…”
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Design of a fully integrated sensor system of a plain bearing by Paeßens, Janek, Kratz, Karl-Heinz, Gemmeke, Tobias, Kauth, Kevin, Baszenski, Thao, Lehmann, Benjamin, Jacobs, Georg

“…Recent years revealed a notable trend for rolling bearings to be increasingly replaced by plain bearings for particular applications. A prominent example is…”
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Vehicle Surroundings Perception Using Micro‐electromechanical Systems Inertial Sensors by Lahr, Martin, Loh, Johnson, Schwarz, Mike, Lemme, Max Christian, Gemmeke, Tobias

“…Sensors enable vehicles to perceive their surroundings even while parked. Camera‐based systems for vehicle surroundings perception are already available as of…”
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Scaling Logic Area With Multitier Standard Cells by Freye, Florian, Lanius, Christian, Shadmehri, Hossein Hashemi, Gohringer, Diana, Gemmeke, Tobias

“…While the footprint of digital complementary metal-oxide-semiconductor (CMOS) circuits has continued to decrease over the years, physical limitations for…”
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Memristive Devices for Time Domain Compute-in-Memory by Freye, Florian, Lou, Jie, Bengel, Christopher, Menzel, Stephan, Wiefels, Stefan, Gemmeke, Tobias

“…Analog compute schemes and compute-in-memory (CIM) have emerged in an effort to reduce the increasing power hunger of convolutional neural networks (CNNs),…”
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Sensor integrating plain bearings: design of an energy-autonomous, temperature-based condition monitoring system by Baszenski, Thao, Kauth, Kevin, Kratz, Karl-Heinz, Gutiérrez Guzmán, Francisco, Jacobs, Georg, Gemmeke, Tobias

“…Plain bearings are increasingly being used under mixed friction, resulting in a higher risk of wear-induced failure. Therefore, the relevance of condition…”
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Fully Digital, Standard-Cell-Based Multifunction Compute-in-Memory Arrays for Genome Sequencing by Lanius, Christian, Gemmeke, Tobias

“…The rapid advancement in genome sequencing technology has led to a significant increase in the number of genomic reads in recent years. Due to the immense size…”
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Stream Processing Architectures for Continuous ECG Monitoring Using Subsampling- Based Classifiers by Loh, Johnson, Gemmeke, Tobias

“…Monitoring of biomedical data, such as electrocardiogram (ECG) signals, requires accelerators, which can process data streams in a continuous manner…”
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A 22-nm 1,287-MOPS/W Structured Data-Path Array for Binary Ring-LWE PQC by Zhang, Shutao, Gemmeke, Tobias

“…A 0.0131-\mathrm{mm}^{2} structured data-path array for binary Ring-LWE (BRLWE) post-quantum cryptography (PQC) is fabricated in 22-nm CMOS with an energy…”
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Compiling All-Digital-Embedded Content Addressable Memories on Chip for Edge Application by Fan, Xin, Meyer, Niklas, Gemmeke, Tobias

“…A spectrum of emerging applications, including edge artificial intelligence, advocates the precompute-and-search scheme with embedded small-size content…”
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An Energy Efficient All-Digital Time-Domain Compute-in-Memory Macro Optimized for Binary Neural Networks by Lou, Jie, Freye, Florian, Lanius, Christian, Gemmeke, Tobias

“…The deployment of neural networks on edge devices has created a growing need for energy-efficient computing. In this paper, we propose an all-digital standard…”
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Approximation of Transcendental Functions With Guaranteed Algorithmic QoS by Multilayer Pareto Optimization by Fan, Xin, Zhang, Shutao, Gemmeke, Tobias

“…Design space exploration of approximate computing is deemed tough. While restricting the optimization to reduce approximate errors at the individual-function…”
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Towards Hardware Supported Domain Generalization in DNN-based Edge Computing Devices for Health Monitoring by Loh, Johnson, Dudchenko, Lyubov, Viga, Justus, Gemmeke, Tobias

“…Deep neural network (DNN) models have shown remarkable success in many real-world scenarios, such as object detection and classification. Unfortunately, these…”
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NoisyDECOLLE: Robust Local Learning for SNNs on Neuromorphic Hardware by Stadtmann, Tim, Wahl, Benedikt, Gemmeke, Tobias

“…Based on their biological archetype, spiking neural networks (SNNs) promise substantial energy savings at massively increased performance. However,…”
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Lossless Sparse Temporal Coding for SNN-based Classification of Time-Continuous Signals by Loh, Johnson, Gemmeke, Tobias

“…Ultra-low power classification systems using spiking neural networks (SNN) promise efficient processing for mobile devices. Temporal coding represents…”
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