New GAP8 SDK V3.0 release from GreenWaves Technologies NEW FEATURES NNTool New flow for neural networks which is replacing tf2gap8. This allows mapping high-level graphs (e.g. from Keras) directly to gap8 with automatic quantization. PMSIS New system layer to have portable Gap applications accross several operating systems. This comes [...]
GAPPoc : A family of GAP8-centric Proof Of Concept boards for edge AI Our GAP8 application processor chip is great at analyzing and understanding data from IoT sensors, from the simplest to the most complex, in a very tight power envelope – from a few tens of milliwatt in active [...]
GAP8 CNN Benchmarks The GAP8 CNN Benchmark package provides a test suite to evaluate the performance and energy efficiency of GAP8's cluster on a representative subset of Convolution Neural Networks (CNN) Layers. This guide shows you how to run the benchmarks and check cycle and energy results. Benchmarks Description Here [...]
New GAP8 SDK release from GreenWaves Technologies Release V2.1 of the GAP8 SDK is now available on Github athttps://github.com/GreenWaves-Technologies/gap_sdkThe headline changes in this SDK are …- The addition of an instruction accurate simulator for GAP8 based on the PULP GVSOC project. This simulator greatly simplifies development by allowing code to be [...]
Loic Lietar, CEO of GreenWaves Technologies, talks about GAP8, and RISC-V on IoT PodCast This week Loic Lietar, CEO of Greenwaves Technologies, talked about the new open-source RISC-V architecture and low-power IoT processor GAP8. Lietar explained what RISC-V is, how difficult it is to get the industry to adopt [...]
A 64mW DNN-based Visual Navigation Engine for Autonomous Nano-Drones Really interesting paper by Daniele Palossi on using GAP8 to autonomously navigate a microdrone. This is a great example of porting a significant CNN to GAP8. Eric Flamand, GreenWave's CTO assisted with the CNN model creation and use of [...]
GAP8 performance versus ARM M7 on Embedded CNNs ARM recently published a new CMSIS library for embedded convolutional neural networks (CNNs) CMSIS-NN. Firstly, it was great to see ARM supporting the market that GreenWaves and GAP8 are focused on. We particularly liked their statement that: "Neural Networks are [...]
GAP-8: A RISC-V SoC for AI at the Edge of the IoT Current ultra-low power smart sensing edge devices, operating for years on small batteries, are limited to low-bandwidth sensors, such as temperature or pressure. Enabling the next generation of edge devices to process data from richer sensors [...]
