TL;DR: GAP-8 is proposed: a multi-GOPS fully programmable RISC-V IoT-edge computing engine, featuring a 8-core cluster with CNN accelerator, coupled with an ultra-low power MCU with 30 μW state-retentive sleep power.

My defense is, at times a Gap-8, a 10-1, and sometimes even a 9-1-1 or a 7-3-1. It depends on the offensive formation. The name gap-8 is from the old days when the offense was almost always in a full house T-formation with two tight ends and the defense was truly in a gap-8.

GAP8 Hardware Reference Manual - Amazon Web Services ... dma

2018年2月27日 · GreenWaves Technologies, a fabless semiconductor startup based in Grenoble, France, has designed GAP8 IoT application processor based on RISC-V architecture, and optimized for image and audio algorithms including convolutional neural network (CNN) inference with high energy efficiency thanks to an 8-core computational cluster combined with a ...

2018年2月28日 · Fabless startup Greenwaves Technologies has announced the availability of its GAP8 IoT application processor to handle low-power AI processing in sensor devices.

GVSOC is a lightweight and flexible instruction set simulator which can simulate GreenWaves' GAP series processors. GVSOC allows execution of programs on a virtual platform without any hardware limits. Thanks to device models, full application with …

To address this challenge, we propose GAP-8: a multi-GOPS fully programmable RISC-V IoT-edge computing engine, featuring a 8-core cluster with CNN accelerator, coupled with an ultra-low power MCU with 30 μW state-retentive sleep power.

2024年8月10日 · To address this challenge, GREENWAVES propose GAP-8: a multi-GOPS fully programmable RISC-V IoT-edge computing engine, featuring a 8-core cluster with CNN accelerator, coupled with an ultra-low power MCU with 30 μW state-retentive sleep power. GAP-8 delivers up to 10.

GAP8 is a fully programmable RISC-V IoT-edge computing engine, featuring a 8-core cluster with CNN accelerator, coupled with an ultra-low power MCU with 30 uW state-retentive sleep power. GAP-8 delivers up to 10 GMAC/s for CNN inference (90 MHz, 1.0V) at the energy efficiency of 600 GMAC/s/W within a worst-case power envelope of 75 mW.

29th International Conference on Application-specific Systems, Architectures and Processors (ASAP), Milan, Italy, July 10-12, 2018