Setting up Haiku on Google Compute Engine

Pre-created Haiku r1/beta4 images are available on Google Cloud Platform’s Compute Engine. To deploy a Haiku VM to Google Compute Engine, all you need is the gcloud CLI tool. Preparing gcloud cli Follow the directions to install gcloud Deploying Haiku To deploy a Haiku VM, you simply need to leverage the official Haiku, Inc. image via the gcloud sdk There is a cost to deploying VM’s to Google Cloud. Make sure you understand the costs before deploying systems.

Emulating Haiku in KVM

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.

Emulating Haiku In ESXi

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

Appendix C - References Asiliant Technologies: register specs for Chips and Technologies chipsets for laptops: Be Incorporated BeOS API documentation: The Be Book 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: FreeBSD Haiku (OpenBeOS): 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.


5 - Flags <td width="40%" valign="top"> <b>Chart Legend</b> <ul> <li><b>Name</b> - The name as defined in the BeOS header files.</li> <li><b>API Construct</b> - The construct used in classes and functions.</li> <li><b>C</b> - The command, from API of appserver or accelerant.</li> <li><b>S</b> - Status, from accelerant to API.</li> <li><b>P</b> - The app_server is target.</li> <li><b>A</b> - The accelerant is source or target.</li> </ul> </td> A flag is basically a single tray.


7 - Conclusion Writing video drivers is nice to do a while. It is very instructive and (yet) good to do when the whole structure is addressed. Sometimes writing video drivers requires the necessary imagination from the programmer, because it is difficult to test some (combinations) of things or make them testable. Also, the retrieval and understanding of the specifications is sometimes a challenge. Even if there is some documentation from a chip or card manufacturer, you still need to be puzzled regularly.

Writing The Driver

6 - Writing The Video Driver When writing a video driver, a number of issues are important: -A plan is required to indicate the order in which the components can be constructed; -There must be possibilities for testing the driver; And -The driver must be constructed in such a way that its stability is ensured as well as possible. This chapter will deal with these issues. The information given here is an important tool in actually building a video driver.


This year, 2 of our 3 interns in GSoC and Outreachy completed their projects Rajagopalan Gandhagaran - Webkit2 port Preetpal Kaur (Outreachy) - Input preferences Bharati Ramana Joshi - Btrfs write support (repeated communication issues preventing the project from moving onwards)


This year, all 4 of our GSoC students completed their projects! Cruxbox - XFS filesystem support Preetpal Kaur - Input preferences Leorize - Services kit rewrite Suhel Mehta - UFS2 filesystem support