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The difficulty of deploying various deep learning (DL) models on diverse DL hardwares has boosted the research and development of DL compilers in the community. Several DL compilers have been proposed from both industry and academia such as Tensorflow XLA and TVM. Similarly, the DL compilers take the DL models described in different DL frameworks as input, and then generate optimized codes for ...
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Posted on 31.10.2020. Labs on Chip Principles, Design and Technology (Devices The second generation of the Darwin Neural Processing Unit (Darwin NPU 2) as well as its corresponding toolchain and micro-operating system was released in Hangzhou recently. This research was led by Zhejiang University, with Hangzhou Dianzi University and Huawei Central Research Institute participating in the development and algorisms of the chip. Jul 19, 2019 · The Loihi programming toolchain includes a Python API. Intel says it is up to 1,000 faster and 10,000 times more efficient than CPUs for target applications that include sparse coding, graph search, path planning, simultaneous localization and mapping (SLAM) and constraint-satisfaction problems.
In each case, the Nengo DL on Loihi network consumed significantly less power. In comparison, the NVIDIA Jetson TX1 edge GPU consumed 7.3x more energy, the Intel Xeon E5-2630 CPU consumed 8.2x ...
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