mirror of
https://github.com/KevinMidboe/linguist.git
synced 2025-10-29 01:30:22 +00:00
57 lines
1.5 KiB
Perl
57 lines
1.5 KiB
Perl
if not terralib.cudacompile then
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print("CUDA not enabled, not performing test...")
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return
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end
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local tid = cudalib.nvvm_read_ptx_sreg_tid_x--terralib.intrinsic("llvm.nvvm.read.ptx.sreg.tid.x",{} -> int)
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local ntid = cudalib.nvvm_read_ptx_sreg_ntid_x -- terralib.intrinsic("llvm.nvvm.read.ptx.sreg.ntid.x",{} -> int)
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struct OneFloat {
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a : int;
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}
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fn = terra(result : &float, bar : int[5])
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result[tid()] = bar[0] + bar[1] + bar[2] + bar[3] + bar[4]
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end
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fn:setinlined(false)
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--our very simple cuda kernel
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--more work needs to be done to expose the right CUDA intrinsics
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--to do more complicated things
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foo = terra(result : &float)
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fn(result, array(tid(),tid()+1,tid()+2,tid()+3,tid()+4) )
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end
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terralib.includepath = terralib.includepath..";/usr/local/cuda/include"
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local C = terralib.includecstring [[
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#include "cuda_runtime.h"
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#include <stdlib.h>
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#include <stdio.h>
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]]
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local R = terralib.cudacompile({ bar = foo })
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terra doit(N : int)
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var data : &float
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C.cudaMalloc([&&opaque](&data),sizeof(float)*N)
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var launch = terralib.CUDAParams { 1,1,1, N,1,1, 0, nil }
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R.bar(&launch,data)
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var results : &float = [&float](C.malloc(sizeof(float)*N))
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C.cudaMemcpy(results,data,sizeof(float)*N,2)
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var result = 0.f
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for i = 0,N do
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result = result + results[i]
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end
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return result
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end
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local test = require("test")
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local N = 16
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function s(n) return (n - 1) * n / 2 end
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function ex(i) return s(N+i) - s(i) end
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local expected = ex(0) + ex(1) + ex(2) + ex(3) + ex(4)
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test.eq(doit(N),expected)
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