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README.md

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1. This is real **native OpenGL**, and you have direct access to GL resource IDs. This may be
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useful for resource sharing and compute interop:
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* [CUDA-GL interop](https://docs.nvidia.com/cuda/cuda-runtime-api/group__CUDART__OPENGL.html)).
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* [CUDA-GL interop](https://docs.nvidia.com/cuda/cuda-runtime-api/group__CUDART__OPENGL.html).
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* [OpenCL-GL interop](https://registry.khronos.org/OpenCL/sdk/3.0/docs/man/html/clEnqueueAcquireGLObjects.html) - see [example](/examples/boids).
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* [Context sharing](https://www.glfw.org/docs/latest/context_guide.html#context_sharing).
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1. The flag `isGles3` lets you use a **GL ES 3** preset, which is closest to "real" WebGL.

examples/boids/README.md

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1. For each iteration of the outer loop, the workgroup threads synchronize and
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copy 256 entries into local memory (1 entry per thread).
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1. Threads synchronize again, and each thread does 256 iterations,
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but only reading from shared (and not global) memory.
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1. Hence we use (the order of) N global reads, instead of N\*N. If N is **16384**, N\*N is **268,435,456**.
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but only reading from shared (and not **global**) memory.
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1. Hence we use (the order of) N **global** reads, instead of N\*N. If N is **16384**, N\*N is **268,435,456**.
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Although, we still do that amount of calculations either way.

package-lock.json

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