Using the latest Raspberry Pi boards allows to drastically improve the actual performance speed-up of the computational processes at the edge, such as collecting and pre-processing data in real-time, before delivering it to a data center for processing, on exascale. The next generation of innovative Raspberry Pi 4B+ IoT boards, based on the powerful ARM’s multi-core symmetric 64-bit RISC-V CPUs, provides an unleashed performance and, thus, the ultimate productivity parallel computing itself. This project provides useful guidelines, tips, and tutorials for building a modern parallel code in C++17/2x0, implemented using CL/SYCL programming model, and running it on the next generation of Raspberry Pi 4B IoT boards, based on the innovative ARM Cortex-A72, Quad-core, 64-bit RISC-V CPUs.Īn audience of readers will find out about setting up a Raspberry 4B IoT board, out-of-the-box, and using it for parallel computing, delivering a parallel code in C++17, with the Khronos CL/triSYCL and Aksel Alpay’s hipSYCL project’s open-source distributions, installing and configuring the GNU’s Compiler Collection (GCC) and LLVM/Clang-9.x.x Arm/Aarch64-toolchains, for building the parallel code’s executables and running it in Raspbian Buster 10.6 OS.

Raspberry Pi OS is a community project under active development, with an emphasis on improving the stability and performance of as many Debian packages as possible.Īll features for the Raspberry Pi OS can be found here and the installation instructions can be found here.Building and running a parallel code in C++17, implemented using Khronos CL/SYCL-model specification, on Raspberry Pi IoT boards. Raspberry Pi OS comes with over 35,000 packages: precompiled software bundled in a nice format for easy installation on your Raspberry Pi.

Raspberry Pi OS is a free operating system based on Debian, optimized for the Raspberry Pi hardware. Raspberry Pi OS is the recommended operating system for normal use on a Raspberry Pi.

If you have a Raspberry Pi this is the official operating system for you.

Virtualbox alternative for raspberry pi