Entries for tag "graphics", ordered from most recent. Entry count: 62.
# WinFontRender - my new library
Displaying text is a common problem in graphics applications where all you can do is to render textured quads. I've implemented my solution already back in 2007, as part of my old engine The Final Quest 7, which was my master thesis. I've recently come back to this code and improved it because I needed it for the personal project I now work on. Then I thought: Maybe it's a good idea to extract this code into a library? So here it is:
It does two things:
1. It renders characters of the font to a texture, tightly packed.
2. It calculates vertices needed to render given text.
Here are more details about the library:
# Programming FreeSync 2 support in Direct3D
AMD just showed Oasis demo, presenting usage of its FreeSync 2 HDR technology. If you wonder how could you implement same features in your Windows DirectX program or game (it doesn’t matter if you use D3D11 or D3D12), here is an article for you.
But first, a disclaimer: Although I already put it on my “About” page, I’d like to stress that this is my personal blog, so all opinions presented here are my own and do not reflect that of my employer.
Radeon FreeSync (its new, official web page is here: Radeon™ FreeSync™ Technology | FreeSync™ 2 HDR Games) is an AMD technology that covers two different things, which may cause some confusion. First is variable refresh rate, second is HDR. Both of them need to be supported by a monitor. The database of FreeSync compatible monitors and their parameters is: Freesync Monitors.
# Programming HDR monitor support in Direct3D
I got an HDR supporting monitor (LG 32GK850F), so I started learning how I can use its capabilities programatically. I still have much to learn, as there is a lot of theory to be ingested about color spaces etc., but in this blog post I’d like to go straight to the point: How to enable HDR in your C++ DirectX program? To test this, I used 3 graphics chips from 3 different PC GPU vendors. Below you can see results of my experiments.
# How to design API of a library for Vulkan?
In my previous blog post yesterday, I shared my thoughts on graphics APIs and libraries. Another problem that brought me to these thoughts is a question: How do you design an API for a library that implements a single algorithm, pass, or graphics effect, using Vulkan or DX12? It may seem trivial at first, like a task that just needs to be designed and implemented, but if you think about it more, it turns out to be a difficult issue. They are few software libraries like this in existence. I don’t mean here a complex library/framework/engine that “horizontally” wraps the entire graphics API and takes it to a higher level, like V-EZ, Nvidia Falcor, or Google Filament. I mean just a small, “vertical”, plug-in library doing one thing, e.g. implementing ambient occlusion effect, efficient texture mipmap down-sampling, rendering UI, or simulating particle physics on the GPU. Such library needs to interact efficiently with the rest of the user’s code to be part of a large program or game. Vulkan Memory Allocator is also not a good example of this, because it only manages memory, implements no render passes, involves no shaders, and it interacts with a command buffer only in its part related to memory defragmentation.
I met this problem at my work. Later I also discussed it in details with my colleague. There are multiple questions to consider:
VK_IMAGE_USAGE_flags. If the library should allocate them internally, how should it do it? By just grabbing new pieces of
VkDeviceMemoryblocks? What if the user prefers all GPU memory to be allocated using a complex allocator of his choice, like Vulkan Memory Allocator?
VkDescriptorPool, but what if the user prefers all the descriptors to be allocated from his own descriptor pool?
vkGetDeviceProcAddr, possibly with help of something like volk? The library should be able to use those.
VkAllocationCallbacks) to all Vulkan functions? The library should be able to do it.
This is a problem similar to what we have with any C++ libraries. There is no consensus about the implementation of various basic facilities, like strings, containers, asserts, mutexes etc., so every major framework or game engine implements its own. Even something so simple as min/max function is defined is multiple places. It is defined once in
<algorithm> header, but some developers don’t use STL.
<Windows.h> provides its own, but these are defined as macros, so they break any other, unless you
#define NOMINMAX before the include… A typical C++ nightmare. Smaller libraries are better just configurable or define their own everything, like the Vulkan Memory Allocator having its own assert, vector (can be switched to standard STL one), and 3 versions of read-write mutex.
All these issues make it easier for developers to just write a paper, describe their algorithm, possibly share a piece of code, pseudo-code or a shader, rather than provide ready to use library. This is a very bad situation. I hope that over time patterns emerge of how the API of a library implementing a single pass or effect using Vulkan/DX12 should look like. Recently my colleague shared an idea with me that if there was some higher-level API that would implement all these interactions between various parts (like resource allocation, image barriers) and we all commonly agreed on using it, then authoring libraries and stitching them together on top of it would be way easier. That’s another argument for the need of such new, higher-level graphics API.
# Thoughts on graphics APIs and libraries
Warning: This is a long rant. I’d like to share my personal thoughts and opinions on graphics APIs like Vulkan, Direct3D 12.
Some time ago I came up with a diagram showing how the graphics software technologies evolved over last decades – see my blog post “Lower-Level Graphics API - What Does It Mean?”. The new graphics APIs (Direct3D 12, Vulkan, Metal) are not only a clean start, so they abandon all the legacy garbage going back to ‘90s (like
glVertex), but they also take graphics programming to a new level. It is a lower level – they are more explicit, closer to the hardware, and better match how modern GPUs work. At least that’s the idea. It means simpler, more efficient, and less error-prone drivers. But they don’t make the game or engine programming simpler. Quite the opposite – more responsibilities are now moved to engine developers (e.g. memory management/allocation). Overall, it is commonly considered a good thing though, because the engine has higher-level knowledge of its use cases (e.g. which textures are critically important and which can be unloaded when GPU memory is full), so it can get better performance by doing it properly. All this is hidden in the engines anyway, so developers making their games don’t notice the difference.
Those of you, who – just like me – deal with those low-level graphics APIs in their everyday work, may wonder if these APIs provide the right level of abstraction. I know it will sound controversial, but sometimes I get a feeling they are at the exactly worst possible level – so low they are difficult to learn and use properly, while so high they still hide some implementation details important for getting a good performance. Let’s take image/texture barriers as an example. They were non-existent in previous APIs. Now we have to do them, which is a major pain point when porting old code to a new API. Do too few of them and you get graphical corruptions on some GPUs and not on the others. Do too many and your performance can be worse than it has been on DX11 or OGL. At the same time, they are an abstract concept that still hides multiple things happening under the hood. You can never be sure which barrier will flush some caches, stall the whole graphics pipeline, or convert your texture between internal compression formats on a specific GPU, unless you use some specialized, vendor-specific profiling tool, like Radeon GPU Profiler (RGP).
It’s the same with memory. In DX11 you could just specify intended resource usage (
D3D11_USAGE_DYNAMIC) and the driver chose preferred place for it. In Vulkan you have to query for memory heaps available on the current GPU and explicitly choose the one you decide best for your resource, based on low-level flags like
VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT etc. AMD exposes 4 memory types and 3 memory heaps. Nvidia has 11 types and 2 heaps. Intel integrated graphics exposes just 1 heap and 2 types, showing the memory is really unified, while AMD APU, also integrated, has same memory model as the discrete card. If you try to match these to what you know about physically existing video RAM and system RAM, it doesn’t make any sense. You could just pick the first
DEVICE_LOCAL memory for the fastest GPU access, but even then, you cannot be sure your resource will stay in video RAM. It may be silently migrated to system RAM without your knowledge and consent (e.g. if you go out of memory), which will degrade performance. What is more, there is no way to query for the amount of free GPU memory in Vulkan, unless you do hacks like using DXGI.
Hardware queues are no better. Vulkan claims to give explicit access to the pieces of GPU hardware, so you need to query for queues that are available. For example, Intel exposes only a single graphics queue. AMD lets you create up to 3 additional compute-only queues and 2 transfer queues. Nvidia has 8 compute queues and 1 transfer queue. Do they all really map to silicon that can work in parallel? I doubt it. So how many of them to use to get the best performance? There is no way to tell by just using Vulkan API. AMD promotes doing compute work in parallel with 3D rendering while Nvidia diplomatically advises to be “conscious” with it.
It's the same with presentation modes. You have to enumerate
VkPresentModeKHR-s available on the machine and choose the right one, along with number of images in the swapchain. These don't map intuitively to a typical user-facing setting of V-sync = on/off, as they are intended to be low level. Still you have no control and no way to check whether the driver does "blit" or "flip".
One could say the new APIs don’t deliver to their promise of being low level, explicit, and having predictable performance. It is impossible to deliver, unless the API is specific to one GPU, like there is on consoles. A common API over different GPUs is always high level, things happen under the hood, and there are still fast and slow paths. Isn’t all this complexity just for nothing? It may be true that comparing to previous generation APIs, drivers for the new ones need not launch additional threads in the background or perform shader compilation on first draw call, which greatly reduces chances of major hitching. (We will see how long this state will persist as the APIs and drivers evolve.) Still there is no way to predict or ensure minimum FPS/maximum frame time. We are talking about systems where multiple processes compete for resources. On modern PCs there is even no way to know how many cycles will a single instruction take! Cache memory, branch prediction, out-of-order execution – all of these mechanisms are there in the CPU to speed up average cases, but there can always be cases when it works slowly (e.g. cache miss). It’s the same with graphics. I think we should abandon the false hope of predictable performance as a thing of the past, just like rendering graphics pixel-perfect. We can optimize for the average, but we cannot ensure the minimum. After all, games are “soft real-time systems”.
Based on that, I am thinking if there is a room for a new graphics API or top of DX12 or Vulkan. I don’t mean whole game engine with physical simulation, handling sound, input controllers and all, like Unity or UE4. I mean an API just like DX11 or OGL, on a similar or higher abstraction level (if higher level, maybe the concept of persistent “frame graph” with explicit pass and resource dependencies is the way to go?). I also don’t think it’s enough to just reimplement any of those old APIs. The new one should take advantage of features of the explicit APIs (like parallel command buffer recording), while hiding the difficult parts (e.g. queues, memory types, descriptors, barriers), so it’s easier to use and harder to misuse. (An existing library similar to this concept is V-EZ from AMD.) I think it may still have good performance. The key thing needed for creation of such library is abandoning the assumption that developer must define everything up-front, with nothing allocated, created, or transferred on first use.
See also next post: "How to design API of a library for Vulkan?"
Update 2019-02-12: I want to thank all of you for the amazing feedback I received after publishing this post, especially on Twitter. Many projects have been mentioned that try to provide an API better than Vulkan or DX12 - e.g. Apple Metal, WebGPU, The Forge by Confetti.
# Vulkan sparse binding - a quick overview
On 13 December 2018 AMD released new version of graphics driver: 18.12.2. One could say there is nothing special about it – new drivers are released as often as every 2 weeks. But this version brings a change very important for Vulkan developers. AMD now catches up with competition – Nvidia and Intel – in supporting Vulkan sparse binding and sparse residency, which makes it usable in Windows PC games. I’d like to make it an opportunity to briefly describe what is it and how can you start using it, assuming you are a programmer who already knows a bit about C or C++ and Vulkan.
# "Co działa szybko, a co wolno w grafice 3D?" - talk at Collegium da Vinci
(EN) This post will be in Polish because it's an invitation for my talk, which will happen 7th December 2018 in Collegium da Vinci in Poznań, and it will be in Polish.
(PL) Wszystkich zainteresowanych tworzeniem gier (także w Unity czy Unreal Engine, niekoniecznie zaawansowanym programowaniem grafiki w C++) mam przyjemność zaprosić na mój wykład pt. „Co działa szybko, a co wolno w grafice 3D?”, który odbędzie się 7 grudnia 2018 na uczelni Collegium Da Vinci w Poznaniu, w ramach cyklu spotkań „INTERAKCJE”.
Opis: Grafika 3D jest istotną częścią współczesnych gier video, a jej wydajne renderowanie jest niezbędne do płynnego działania gier w czasie rzeczywistym. Znajomość podstaw tej dziedziny jest przydatna niezależnie od wybranej technologii (np. Unity, Unreal Engine czy własny silnik pisany w C++). Wykład stanowi przegląd technik stosowanych w grafice renderowanej z użyciem współczesnych GPU z podkreśleniem, które z nich mogą stanowić problem wydajnościowy oraz jakimi sposobami można uzyskać lepszą wydajność.
# Vulkan with DXGI - experiment results
In my previous post, I’ve described a way to get GPU memory usage in Windows Vulkan app by using DXGI. This API, designed for Direct3D, seems to work with Vulkan as well. In this post I would like to share detailed results of my experiment on two different platforms with two graphics cards from different vendors. But before that, a disclaimer: