README Erfan's Tasks

README.md

@@ -93,9 +93,137 @@ TODO aspect ratio + images alignment + more more images
 
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+
 # Features
 
-< features > 
+### 🧩 The Nabla Core Profile
+
+Nabla exposes [a curated set of Vulkan extensions and features](https://github.com/Devsh-Graphics-Programming/Nabla/blob/master/src/nbl/video/vulkan/profiles/NablaCore.json) compatible across the GPUs we aim to support on Windows, Linux, (coming soon MacOS, iOS as well as Android)
+
+Vulkan evolves fast—just when you think you've figured out [sync](), you realize there's [sync2](). Keeping up with new extensions, best practices, and hardware quirks is exhausting.
+Instead of digging through [gpuinfo.org](gpuinfo.org) or [Vulkan specs](), Nabla gives you a well-thought-out set of extensions—so you can focus on what you want to achieve, not get lost in extreme details.
+
+### 🧩 Physical Device Selection and Filteration
+
+Nabla allows you to select the best GPU for your compute or graphics workload.
+
+```c++
+void filterDevices(core::set<video::IPhysicalDevice*>& physicalDevices)
+{
+  nbl::video::SPhysicalDeviceFilter deviceFilter = {};
+  deviceFilter.minApiVersion = { 1,3,0 };
+  deviceFilter.minConformanceVersion = {1,3,0,0};
+  deviceFilter.requiredFeatures.rayQuery = true;
+  deviceFilter(physicalDevices);
+}
+```
+
+### 🧩 SPIR-V and Vulkan as First-Class Citizens
+
+Nabla treats **SPIR-V** and **Vulkan** as the preferred, reference standard—everything else is built around them, with all other backends adapting to them.
+
+### 🧩 Integration of Renderdoc
+
+Built-in support for capturing frames and debugging with [Renderdoc](https://renderdoc.org/).
+ This is how one debugs headless or async GPU workloads that are not directly involved in producing a swapchain frame to be captured by Renderdoc.
+
+```c++
+const IQueue::SSubmitInfo submitInfo = {
+    .waitSemaphores = {},
+    .commandBuffers = {&cmdbufInfo,1},
+    .signalSemaphores = {&signalInfo,1}
+};
+m_api->startCapture(); // Start Renderdoc Capture
+queue->submit({&submitInfo,1});
+m_api->endCapture(); // End Renderdoc Capture
+```
+
+### 🧩 Nabla Event Handler: Seamless GPU-CPU Synchronization
+
+Nabla Event Handler's extensive usage of [Timeline Semaphores]() enables CPU Callbacks on GPU conditions.
+
+You can enqueue callbacks that trigger upon submission completion (workload finish), enabling amongst others, async readback of submission side effects, or deallocating an allocation after a workload is finished.
+
+```c++
+// This doesn't actually free the memory from the pool, the memory is queued up to be freed only after the `scratchSemaphore` reaches a value a future submit will signal
+memory_pool->deallocate(&offset,&size,nextSubmit.getFutureScratchSemaphore());
+```
+
+### 🧩 GPU Object Lifecycle Tracking
+
+Nabla uses [reference counting]() to track the lifecycle of GPU objects. Descriptor sets and command buffers are responsible for maintaining reference counts on the resources (e.g., buffers, textures) they use. The queue itself also tracks command buffers, ensuring that objects remain alive as long as they are pending execution. This system guarantees the correct order of deletion and makes it difficult for GPU objects to go out of scope and be destroyed before the GPU has finished using them.
+
+### 🧩 HLSL2021 Standard Template Library
+
+- 🔄 Reusable: Unified single-source C++/HLSL libraries eliminate code duplication with reimplementation of STL's `type_traits`, `limits`, `functional`, `tgmath`, etc.
+
+- 🐞 Shader Logic, CPU-Tested: A subset of HLSL compiles as both C++ and SPIR-V, enabling CPU-side debugging of GPU logic, ensuring correctness in complex tasks like FFT, Prefix Sum, etc. (See our examples: [1. BxDF Unit Test](https://github.com/Devsh-Graphics-Programming/Nabla-Examples-and-Tests/blob/d7f7a87fa08a56a16cd1bcc7d4d9fd48fc8c278c/66_HLSLBxDFTests/app_resources/tests.hlsl#L436), [2. Math Funcs Unit Test](https://github.com/Devsh-Graphics-Programming/Nabla-Examples-and-Tests/blob/fd92730f0f5c8a120782c928309cb10e776c25db/22_CppCompat/main.cpp#L407))
+
+- 🔮 Future-Proof: C++20 concepts in HLSL enable safe and documented polymorphism.
+
+- 🧠 Insane: Boost Preprocessor and Template Metaprogramming in HLSL!
+
+- 🛠️ Real-World Problem Solvers: The library offers GPU-optimized solutions for tasks like Prefix Sum, Binary Search, FFT, Global Sort, and even emulated `shaderFloat64` when native GPU support is unavailable!
+
+
+### 🧩 Full Embrace of [Buffer Device Address]() and [Descriptor Indexing]()
+
+By utilizing Buffer Device Addresses (BDAs), Nabla enables more direct access to memory through 64-bit GPU virtual addresses. Synergized with Descriptor Indexing, this approach enhances flexibility by enabling more dynamic, scalable resource binding without relying on traditional descriptor sets.
+
+### 🧩 Minimally Invasive Design
+
+Nabla's minimally invasive and flexible design with api handle acquisitions and multi-window support make it ideal for custom rendering setups and low-level GPU programming without unnecessary constraints such as assuming a main thread or a single window.
+
+This allows simpler porting of legacy OpenGL and DirectX applications.
+
+[TDOO:Insert Image]
+
+
+### 🧩 Designed for Interoperation
+Nabla is built with interoperation in mind, supporting memory export and import between different compute and graphics APIs.
+
+----
+
+[TODO]:
+- Cancellable Future based Async I/O
+- Virtual File System (archive mounting, our alternative to #embed, everything is referenced by absolute - path)
+- IUtiltities  Using Fixed-sized staging memory for easier cpu-gpu transfers? format promotion?
+----
+
+### 🧩 Asset System
+The asset system in Nabla maintains a 1:1 mapping between CPU and GPU representations, where every CPU asset has a direct GPU counterpart.
+The system also allows for coordination between loaders—for instance, the OBJ loader can trigger the MTL loader, and the MTL loader in turn invokes image loaders, ensuring smooth asset dependency management.
+
+### 🧩 Asset Converter (CPU to GPU)
+The Asset Converter transforms CPU objects (`asset::IAsset`) into GPU objects (`video::IBackendObject`) while eliminating duplicates with Merkle Trees. Instead of relying on pointer comparisons, it hashes asset contents to detect and reuse identical GPU objects.
+
+### 🧩 Unit-Tested BxDFs for Physically Based Rendering
+A statically polymorphic library for defining Bidirectional Scattering Distribution Functions (BxDFs) in HLSL and C++. Each BxDF is rigorously unit-tested in C++ as well as HLSL. This is part of Nabla’s HLSL-C++ compatible library.
+
+### 🔧 In Progress: Property Pools (GPU Entity Component System)
+*Property Pools* group related properties together in a Structure Of Arrays (SoA) manner, allowing efficient, cache-friendly access to data on the GPU. The system enables transferring properties (Components) between the CPU and GPU, with the `PropertyPoolHandler` managing scattered updates with a special compute shader. Handles are assigned for each object and remain constant as data is added or removed.
+
+### 🧩 SPIR-V Introspection and Layout Creation
+
+SPIR-V introspection in Nabla eliminates most of the boilerplate code required to set up descriptor and pipeline layouts, simplifying resource binding to shaders.
+
+### 🧩 Nabla Extensions
+- [ImGui integration](https://github.com/Devsh-Graphics-Programming/Nabla/tree/master/include/nbl/ext/ImGui) – `MultiDrawIndirect` based and draws in as little as a single drawcall.
+- [Fast Fourier Transform Extension](https://github.com/Devsh-Graphics-Programming/Nabla/tree/master/include/nbl/ext/FFT) – for image processing and all kind of frequncy-domain fun.
+- [Workgroup Prefix Sum](https://github.com/Devsh-Graphics-Programming/Nabla/tree/master/include/nbl/builtin/hlsl/workgroup) – Efficient parallel prefix sum computation.
+- [Blur](https://github.com/Devsh-Graphics-Programming/Nabla/blob/ff07cd71c4e21bc51fa416ccd151b2e92efea028/include/nbl/builtin/hlsl/prefix_sum_blur/blur.hlsl#L3) – Optimized GPU-based image blurring.
+- [Counting Sort](https://github.com/Devsh-Graphics-Programming/Nabla/blob/ff07cd71c4e21bc51fa416ccd151b2e92efea028/include/nbl/builtin/hlsl/sort/counting.hlsl) – High-performance, GPU-accelerated sorting algorithm.
+- [WIP] Autoexposure – Adaptive brightness adjustment for HDR rendering.
+- [WIP] Tonemapping
+- [WIP] GPU MPMC Queue – Multi-producer, multi-consumer GPU queue.
+- [WIP] OptiX interoperability for ray tracing.
+- [WIP] Global Scan – High-speed parallel scanning across large datasets.
+
+### 🚀 Coming Soon
+- Full CUDA interoperability support.
+- Scene Loaders
+- GPU-Driven Scene Graph
+- Material Compiler 2.0 for efficient scheduling of BxDF graph evaluation
 
 # FAQ