Computesim, learn compute shaders and control flow

What it does

Learn and understand compute shader operations and control flow. - planetis-m/compute-sim

A compute shader simulator for learning and debugging GPU compute shaders. # Compile with appropriate thread pool size and optimization settings # -d:ThreadPoolSize=MaxConcurrentWorkGroups*(ceilDiv(workgroupSize, SubgroupSize)+1) # -d:danger --threads:on --mm:arc import std / math, computesim type Buffers = object input: seq [ int32 ] atomicSum: int32 proc reduce (b: ptr Buffers ; numElements: uint32 ) {. computeShader .} = let gid = gl_GlobalInvocationID.x let value = if gid < numElements: b.input[gid] else : 0 # First reduce within subgroup using efficient subgroup operation let sum = subgroupAdd (value) # Only one thread per subgroup needs to add to global sum if gl_SubgroupInvocationID…from github.com

In the maker’s words, at launch

Hey HN, I wrote a compute shader emulator that started as a 50-line script to help me understand reduction shaders. What makes this implementation interesting is its technical approach; I've leveraged Nim's macros and closure iterators to simulate lockstep execution of logical threads. The emulator runs GPU compute…

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