Haiku can be compiled for devices using the RISC-V 64bit processor architecture. (RV64GC)
Please ensure that you have obtained a copy of Haiku’s source code as described in Get the Haiku Source Code if you have not already done so.
Unstable The state of the RISC-V port is early. Only the bootloader currently runs. Create a compiler toolchain Building the RISCV64 compiler toolchain is quite easy using Haiku’s configure tool.
Haiku can be compiled for devices using the SPARC 64bit processor architecture.
Please ensure that you have obtained a copy of Haiku’s source code as described in Get the Haiku Source Code if you have not already done so.
Unstable The state of the SPARC port is early. Only the bootloader currently runs. Create a compiler toolchain Building the SPARC compiler toolchain is quite easy using Haiku’s configure tool.
Virtual instances of operating systems are perfect for all kinds of testing purposes that need to be done in a safe and isolated environment. Installing Haiku in a virtual machine is a solution for people who do not want to install it on their physical computers, but wish to become familiar with it.
This guide will describe the process of running Haiku in a virtual machine (VM) using QEMU 4.1.0 and an .
DigitalOcean is one of the most popular KVM Cloud providers that allow the end user to upload raw disk images. As they don’t allow booting from ISO, we will need to use VirtualBox or other virtualization software for installing Haiku. This guide assumes that you already have a DigitalOcean account, you’re at least partly familiar with the interface and that you have already installed Haiku in a VM. You will need to obtain a disk image (*.
For information about Haiku's participation in GSoC this year, please see this page.
Qualifying students can apply for a Haiku project (see the list of suggested projects below). For details about how to apply, please check out Students: How to Apply for a Haiku Idea.
The most successful Google Summer of Code projects are often those proposed by the students themselves. The following list represents some of our ideas and wishes for the project.
Vultr allows one to upload a custom iso on their instances. With this, many new possibilities are open - such as setting up a buildbot, automated testing, benchmarking and more. This task assumes you have a Vultr account and that you are aware that it will charge you for setting up and running an instance.
Preparing a direct ISO link Vultr doesn’t allow one to upload a custom iso from a local machine.
For Google Code-In 2019, Vrondir created a video on how to install Haiku in KVM [79 MiB].
Virtual instances of operating systems are perfect for all kinds of testing purposes that need to be done in a safe and isolated environment. Therefore, installing Haiku in a virtual machine is an ideal solution for people who do not want to install it on their physical computers but want to become familiar with it.
In 2017, Max Levchuk created a tutorial video for VMware ESXi [5 MiB].
Virtualizing an operating system might be a good way to give it a test run, or to use it alongside your main OS. ESXi is a platform that allows easy deployment of virtual machines on baremetal servers, and setting up a Haiku ESXi VM might be a good idea if you intend to develop Haiku or applications for it.
Appendix C - References Asiliant Technologies: register specs for Chips and Technologies chipsets for laptops: https://en.wikipedia.org/wiki/Chips_and_Technologies. Be Incorporated http://www.beincorporated.com. BeOS API documentation: The Be Book https://www.haiku-os.org/legacy-docs/bebook BeOS R4 Graphics Driver Kit, alpha release 2, 1999-03-30, most likely written by Trey Boudreau. BeOS R5 Personal Edition, updates, and developer tools, free for non-commercial use. BeTVOut: TVout for nVidia cards under BeOS., Rudolf Cornelissen: http://betvout.sourceforge.net. FreeBSD http://www.freebsd.org. Haiku (OpenBeOS): http://www.haiku-os.org. Haiku (OpenBeOS) Matrox driver, Rudolf Cornelissen: http://rudolfs-place.
4. Accelerant As opposed to the kernel driver, the accelerant runs in user space. The accelerant provides functions that are needed to control a graphics card. These functions are used by the app_server and/or applications directly. There are a number of reasons for the graphicsdriver being divided into a kernel- and userspace part: Speed: When controlling the graphics card configuration (so programming the ‘registers’) is done using memory mapped I/O this can be done using pointers.
