Next Generation IoT Architectures_Hans Salomonsson
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VEDLIoT Toolchain for Efficient Deep Learning on heterogeneous hardware, Hans Salomonsson, EU-IoT Training Workshops Series – "Next Generation IoT Architectures”, November 2021
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Next Generation IoT Architectures_Hans Salomonsson
- 1. Hans Salomonsson CEO @ EmbeDL EU-IoT Training Workshops Series: Next Generation IoT Architectures 8. Nov 2021 VEDLIoT - Toolchain for Efficient Deep Learning on heterogenous hardware
- 2. 2 Research Hardware: Scalable, heterogeneous, distributed Accelerators: Efficiency boost by FPGA and ASIC technology Toolchain: Optimizing Deep Learning for IoT Use cases Industrial IoT Automotive Smart Home Open call At project mid-term Early use and evaluation of VEDLIoT technology Very Efficient Deep Learning IoT – VEDLIoT Call: H2020-ICT2020-1 Topic: ICT-56-2020 Next Generation Internet of Things Duration: 1. November 2020 – 31. Oktober 2023 Coordinator: Bielefeld University (Germany) Consortium: 12 partners from 4 EU countries (Germany, Poland, Portugal and Sweden) and one associated country (Switzerland). More info: https://www.vedliot.eu/ https://twitter.com/VEDLIoT https://www.linkedin.com/company/vedliot/
- 3. 3 Deep Learning IoT Architecture t.RECS u.RECS Edge RECS|Box Optimized Deep Learning Model (inference) Cloud Embedded
- 4. 4 VEDLIoT Hardware Platform Heterogeneous, modular, scalable microserver system Supporting the full spectrum of IoT from embedded over the edge towards the cloud Different technology concepts for improving x86 GPU ML-ASIC ARM v8 GPU SoC FPGA SoC RISC-V FPGA VEDLIOT Cognitive IoT Platform Performance Cost-effectiveness Maintainability Reliability Energy-Efficiency Safety
- 6. 6 VEDLIoT‘s Deep Learning Toolchain • Image Classification • Object Detection • Semantic Segmentation • Instance Segmentation • Extractive Question Answering Model Zoo Optimization Engine Compilers & Runtime APIs Heterogeneous Hardware Platforms
- 7. 7 Model ZOO
- 8. 8 Model ZOO
- 9. 9 Model ZOO
- 10. 10 Efficent deep learning for IoT
- 14. 14 1&3 Flexible and adaptable Accelerators for Deep Learning DL Model DL Model CPU, GPU- SoC, ML-SoC FPGA-SoC End of Moore’s law & dark silicon – Domain Specific Architectures (DSA) Efficient, flexible, scalable accelerators for the compute continuum Algotecture Optimized DL algorithms Optimized toolchain Optimized computer architecture Heterogeneous DL Accelerator Algotecture/ Co-Designed DL Accelerator Optimizer & Compiler Co-Design
- 15. 15 The fun has just started! Follow our work! https://twitter.com/VEDLIoT https://www.linkedin.com/company/vedliot/ https://vedliot.eu Be part of it Open call at project mid-term Allow early use and evaluation of VEDLIoT technology
- 16. 16 Thank you for your attention. Me Hans Salomonsson EmbeDL, Sweden hans@embedl.ai Contact Jens Hagemeyer, Carola Haumann Bielefeld University, Germany chaumann@cor-lab.uni-bielefeld.de jhagemey@cit-ec.uni-bielefeld.de