GamePhysicsCookbook
SIMDCompressionAndIntersection
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| GamePhysicsCookbook | SIMDCompressionAndIntersection | |
|---|---|---|
| 1 | 1 | |
| 781 | 410 | |
| - | - | |
| 0.0 | 2.0 | |
| over 3 years ago | 10 months ago | |
| C++ | C++ | |
| - | Apache License 2.0 |
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GamePhysicsCookbook
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How do you use OpenGL without glew or any other libraries?
The other answers are correct, but there's really no particular upside to loading every OpenGL extension you want to use individually yourself. You can still use an extension loader like glad with your win32 program. Here's an example that shows when you should call gladloadgl in a win32 app
SIMDCompressionAndIntersection
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What scientists must know about hardware to write fast code
If you’re working with time series data and using a vectorized algorithm implemented with SIMD instructions you can achieve decompression speeds approaching 15 GB/s [1].
Anecdotally when working with biological signals at my day job, compression is a massive win and an absolute no brainer tradeoff when shuffling data across the network or even just storing in memory.
That said, I think your first point is still reasonable for certain types of data and compression algorithms.
[1] https://github.com/lemire/SIMDCompressionAndIntersection
What are some alternatives?
ImGuizmo - Immediate mode 3D gizmo for scene editing and other controls based on Dear Imgui
lzbench - lzbench is an in-memory benchmark of open-source LZ77/LZSS/LZMA compressors
OpenGL-Registry - OpenGL, OpenGL ES, and OpenGL ES-SC API and Extension Registry
xsimd - C++ wrappers for SIMD intrinsics and parallelized, optimized mathematical functions (SSE, AVX, AVX512, NEON, SVE))
glad - Multi-Language Vulkan/GL/GLES/EGL/GLX/WGL Loader-Generator based on the official specs.
TurboPFor - Fastest Integer Compression
std_find_simd - std::find simd version
Vc - SIMD Vector Classes for C++
highway - Performance-portable, length-agnostic SIMD with runtime dispatch