| Position: |
Position in Design of Open-source Hardware Accelerators for Deep Learning |
| Institution: |
Institut national de recherche en informatique et en automatique |
| Location: |
Rocquencourt, Île‐de‐France, France |
| Duties: |
Deep Learning (DL) is one of the most intensively and widely used predictive models in the field of Machine Learning. Convolutional Neural Networks (CNNs) (2) have shown to achieve state-of-the-art accuracy in computer vision (1) and have even surpassed the error rate of the human visual cortex. These neural network techniques have quickly spread beyond computer vision to other domains |
| Requirements: |
The recruited person is expected to develop complex processor architectures leveraging C++ and High-Level Synthesis. We also expect to have prototype implementations of the developed techniques on FPGA and ASIC |
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| Text: |
Position in Design of Open-source Hardware Accelerators for Deep Learning Deep Learning (DL) is one of the most intensively and widely used predictive models in the field of Machine Learning. Convolutional Neural Networks (CNNs) (2) have shown to achieve state-of-the-art accuracy in computer vision (1) and have even surpassed the error rate of the human visual cortex. These neural network techniques have quickly spread beyond computer vision to other domains The recruited person is expected to develop complex processor architectures leveraging C++ and High-Level Synthesis. We also expect to have prototype implementations of the developed techniques on FPGA and ASIC |
