From: colepoirier@1ec9c8c87c85f09e4718cd80e0605065e33975f0 Date: Mon, 8 Jun 2020 01:04:38 +0000 (+0100) Subject: (no commit message) X-Git-Tag: convert-csv-opcode-to-binary~2509 X-Git-Url: https://git.libre-soc.org/?a=commitdiff_plain;h=910a14d9f4e8087692fb4e87092ac770f621cecb;p=libreriscv.git --- diff --git a/systemes_libre/Systemes_Libres_Amazon_Alexa_IOT_Pitch_10-JUN-2020.mdwn b/systemes_libre/Systemes_Libres_Amazon_Alexa_IOT_Pitch_10-JUN-2020.mdwn index 1808703da..0dfa405b3 100644 --- a/systemes_libre/Systemes_Libres_Amazon_Alexa_IOT_Pitch_10-JUN-2020.mdwn +++ b/systemes_libre/Systemes_Libres_Amazon_Alexa_IOT_Pitch_10-JUN-2020.mdwn @@ -20,14 +20,11 @@ Delivering robust low power, high-performance hardware for IOT and Edge Compute b. Power: 2 separate cores (CPU, GPU) leads to much higher power consumption - c. Cost: BOM and manufacturing/assembly costs (No: because usually - they're "embedded" (shared memory bus architecture, same die) - - d. Capability: In RTOS devices, can't make effective use of the GPU + c. Capability: In RTOS devices, can't make effective use of the GPU - e. the drivers involve an inter-core RPC mechanism: which is unacceptably high latency and complexity + d. the drivers involve an inter-core RPC mechanism: which is unacceptably high latency and complexity - f. Furthermore, current RTOS microcontrollers have much lower mathematical numerically intensive computational performance at the same power and silicon area compared to our chip. + e. Furthermore, current RTOS microcontrollers have much lower mathematical numerically intensive computational performance at the same power and silicon area compared to our chip. 2. Time/Ease of Use/Development: Proprietary development tools and documentation result in an often difficult and long development cycle, especially when rebuilding and optimizing arithmetically intensive algorithms for embedded systems.