From: colepoirier@1ec9c8c87c85f09e4718cd80e0605065e33975f0 Date: Mon, 8 Jun 2020 00:14:11 +0000 (+0100) Subject: (no commit message) X-Git-Tag: convert-csv-opcode-to-binary~2512 X-Git-Url: https://git.libre-soc.org/?a=commitdiff_plain;h=c15a4a036d767605efa6c52eb2e3d8fc12386121;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 7b6529a57..65d9bbaa9 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 @@ -47,8 +47,11 @@ Delivering robust low power, high-performance hardware for IOT and Edge Compute * Systèmes Libres is developing graphics and compute drivers in conformance with the open standards Vulkan and OpenCL (**should we remove opencl until we have had a proper discussion of ROCM on bugzilla?**). Using open standards makes rebuilding or using existing algorithms a simple and easy process. 4. Systèmes Libres’ completely libre hardware-software stack enables an unprecedented level of insight into the entire system. + a. Developers can begin their investigations at the top analyzing high-level software, then down into firmware. + b. at the lowest level, they can examine detailed schematic diagrams. + c. The developer can easily see the function of individual components as well as all of the relationships in the system. # Part 3 - Security and Privacy in RTOS and Industrial IOT @@ -66,7 +69,7 @@ Delivering robust low power, high-performance hardware for IOT and Edge Compute * At the level of millions of sensors, power draw must be minimized to lower the overall power bill -* Our chip uses less energy that existing cpu-only microcontrollers, it uses an order of magnitude less power than existing cpu with a tacked on gpu microcontrollers (**numbers??** - no, because this isn't true. you have to focus *really* hard on optimisation to make this true). +* Our hybrid CPU-GPU chip uses less energy that existing microcontrollers that use a cpu with a tacked-on gpu (**numbers??**) # Part 5 – Cost