Search Results - "Stahl, Rafael"

DeeperThings: Fully Distributed CNN Inference on Resource-Constrained Edge Devices by Stahl, Rafael, Hoffman, Alexander, Mueller-Gritschneder, Daniel, Gerstlauer, Andreas, Schlichtmann, Ulf

“…Performing inference of Convolutional Neural Networks (CNNs) on Internet of Things (IoT) edge devices ensures both privacy of input data and possible run time…”
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Efficient Software-Implemented HW Fault Tolerance for TinyML Inference in Safety-critical Applications by Sharif, Uzair, Mueller-Gritschneder, Daniel, Stahl, Rafael, Schlichtmann, Ulf

“…TinyML research has mainly focused on optimizing neural network inference in terms of latency, code-size and energy-use for efficient execution on low-power…”
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Driver Generation for IoT Nodes With Optimization of the Hardware/Software Interface by Stahl, Rafael, Mueller-Gritschneder, Daniel, Schlichtmann, Ulf

“…The Internet of Things (IoT) connects many tiny low-cost devices, so-called IoT nodes. Designers need to implement smart functionality with highly limited…”
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The Scale4Edge RISC-V Ecosystem by Ecker, Wolfgang, Adelt, Peer, Mueller, Wolfgang, Heckmann, Reinhold, Krstic, Milos, Herdt, Vladimir, Drechsler, Rolf, Angst, Gerhard, Wimmer, Ralf, Mauderer, Andreas, Stahl, Rafael, Emrich, Karsten, Mueller-Gritschneder, Daniel, Becker, Bernd, Scholl, Philipp, Jentzsch, Eyck, Schlamelcher, Jan, Gruttner, Kim, Bernardo, Paul Palomero, Bringmann, Oliver, Damian, Mihaela, Oppermann, Julian, Koch, Andreas, Bormann, Jorg, Partzsch, Johannes, Mayr, Christian, Kunz, Wolfgang

“…This paper introduces the project Scale4Edge. The project is focused on enabling an effective RISC-V ecosystem for optimization of edge applications. We…”
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Fused Depthwise Tiling for Memory Optimization in TinyML Deep Neural Network Inference by Stahl, Rafael, Mueller-Gritschneder, Daniel, Schlichtmann, Ulf

“…Memory optimization for deep neural network (DNN) inference gains high relevance with the emergence of TinyML, which refers to the deployment of DNN inference…”
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MLonMCU: TinyML Benchmarking with Fast Retargeting by van Kempen, Philipp, Stahl, Rafael, Mueller-Gritschneder, Daniel, Schlichtmann, Ulf

“…While there exist many ways to deploy machine learning models on microcontrollers, it is non-trivial to choose the optimal combination of frameworks and…”
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Automated Redirection of Hardware Accesses for Host-Compiled Software Simulation by Stahl, Rafael, Mueller-Gritschneder, Daniel, Schlichtmann, Ulf

“…For host-compiled software simulation it is required that accesses from the target software to memory-mapped hardware are identified, so that they can be…”
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Neural Network-based Vehicle Image Classification for IoT Devices by Payvar, Saman, Khan, Mir, Stahl, Rafael, Mueller-Gritschneder, Daniel, Boutellier, Jani

“…Convolutional Neural Networks (CNNs) have previously provided unforeseen results in automatic image analysis and interpretation, an area which has numerous…”
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Instruction Extension of a RISC-V Processor Modeled with IP-XACT by Payvar, Saman, Pekkarinen, Esko, Stahl, Rafael, Mueller-Gritschneder, Daniel, Hamalainen, Timo D.

“…Short time-to-market and cost consideration of hardware design promotes reuse of ever more complex intellectual property even up to processors. In processor…”
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