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// SPDX-License-Identifier: BSD-3-Clause
/*
* streams2d.cu - streams2 with per-array / per-range diagnostic reporting.
*
* Same workload as streams2.cu (two streams, cross-stream event ordering)
* but instead of one "bad" count it reports, per array and per 4 KB block,
* how many elements mismatched, and prints the device pointers so a host
* log can be correlated with what the engine read/wrote.
*
* Output lines:
* DEVICE <name> cc=<major>.<minor> sm=<count> mem=<bytes>
* PTR <name>=0x<hex> (d_a1 d_b1 d_c1 d_a2 d_b2 d_c2)
* DIFF c1 total=<n> blocks=<first block index with mismatches>
* DIFF c2 total=<n> blocks=<...>
* STREAMS n=<count> bad=<mismatches>
* TIMING ms=<elapsed>
* STATUS OK|FAIL
*
* Build: nvcc -O2 --cudart=static -o streams2d streams2d.cu
*/
#include <cstdio>
#include <cstdlib>
#include <cstdint>
#include <cuda_runtime.h>
#define CHECK(x) \
do { \
cudaError_t e_ = (x); \
if (e_ != cudaSuccess) { \
printf("CUDA_ERROR %s at line %d\n", \
cudaGetErrorString(e_), __LINE__); \
printf("STATUS FAIL\n"); \
return 1; \
} \
} while (0)
__global__ void vadd(const float *a, const float *b, float *c, int n)
{
int i = blockIdx.x * blockDim.x + threadIdx.x;
if (i < n)
c[i] = a[i] + b[i];
}
__global__ void scale(float *c, float s, int n)
{
int i = blockIdx.x * blockDim.x + threadIdx.x;
if (i < n)
c[i] = c[i] * s;
}
static void report_diff(const char *name, const float *got,
const float *exp, int n)
{
int i, bad = 0, first = -1, last = -1;
int blk_hits = 0, blk_first = -1;
int nb = (n + 1023) / 1024;
int b;
for (i = 0; i < n; i++) {
if (got[i] != exp[i]) {
bad++;
if (first < 0)
first = i;
last = i;
}
}
for (b = 0; b < nb; b++) {
int j, hit = 0;
for (j = b * 1024; j < (b + 1) * 1024 && j < n; j++)
if (got[j] != exp[j]) {
hit = 1;
break;
}
if (hit) {
blk_hits++;
if (blk_first < 0)
blk_first = b;
}
}
printf("DIFF %s total=%d first=%d last=%d blocks=%d/%d blk_first=%d\n",
name, bad, first, last, blk_hits, nb, blk_first);
if (first >= 0)
printf("DIFF %s sample got[%d]=%a exp[%d]=%a got[%d]=%a exp[%d]=%a\n",
name, first, got[first], first, exp[first], last,
got[last], last, exp[last]);
}
int main(void)
{
cudaDeviceProp prop;
const int n = 1 << 15;
const float s2 = 2.0f;
size_t bytes = (size_t)n * sizeof(float);
float *h_a1, *h_b1, *h_c1, *h_a2, *h_b2, *h_c2;
float *d_a1, *d_b1, *d_c1, *d_a2, *d_b2, *d_c2;
cudaStream_t s1, s2s;
cudaEvent_t ev_add1, ev_scale2, t0, t1;
float ms = 0.0f;
int bad = 0, i;
const int grid = (n + 255) / 256;
setvbuf(stdout, NULL, _IONBF, 0);
CHECK(cudaGetDeviceProperties(&prop, 0));
printf("DEVICE %s cc=%d.%d sm=%d mem=%llu\n", prop.name,
prop.major, prop.minor, prop.multiProcessorCount,
(unsigned long long)prop.totalGlobalMem);
h_a1 = (float *)malloc(bytes);
h_b1 = (float *)malloc(bytes);
h_c1 = (float *)malloc(bytes);
h_a2 = (float *)malloc(bytes);
h_b2 = (float *)malloc(bytes);
h_c2 = (float *)malloc(bytes);
if (!h_a1 || !h_b1 || !h_c1 || !h_a2 || !h_b2 || !h_c2)
return 1;
for (i = 0; i < n; i++) {
h_a1[i] = (float)(i % 1000) * 0.5f;
h_b1[i] = (float)(i % 997) * 0.25f;
h_a2[i] = (float)(i % 991) * 0.125f;
h_b2[i] = (float)(i % 983) * 0.0625f;
}
CHECK(cudaMalloc(&d_a1, bytes));
CHECK(cudaMalloc(&d_b1, bytes));
CHECK(cudaMalloc(&d_c1, bytes));
CHECK(cudaMalloc(&d_a2, bytes));
CHECK(cudaMalloc(&d_b2, bytes));
CHECK(cudaMalloc(&d_c2, bytes));
printf("PTR d_a1=%p d_b1=%p d_c1=%p d_a2=%p d_b2=%p d_c2=%p\n",
(void *)d_a1, (void *)d_b1, (void *)d_c1,
(void *)d_a2, (void *)d_b2, (void *)d_c2);
CHECK(cudaStreamCreate(&s1));
CHECK(cudaStreamCreate(&s2s));
CHECK(cudaEventCreate(&ev_add1));
CHECK(cudaEventCreate(&ev_scale2));
CHECK(cudaEventCreate(&t0));
CHECK(cudaEventCreate(&t1));
CHECK(cudaEventRecord(t0));
CHECK(cudaMemcpyAsync(d_a1, h_a1, bytes, cudaMemcpyHostToDevice, s1));
CHECK(cudaMemcpyAsync(d_b1, h_b1, bytes, cudaMemcpyHostToDevice, s1));
CHECK(cudaMemcpyAsync(d_a2, h_a2, bytes, cudaMemcpyHostToDevice, s2s));
CHECK(cudaMemcpyAsync(d_b2, h_b2, bytes, cudaMemcpyHostToDevice, s2s));
vadd<<<grid, 256, 0, s1>>>(d_a1, d_b1, d_c1, n);
vadd<<<grid, 256, 0, s2s>>>(d_a2, d_b2, d_c2, n);
CHECK(cudaGetLastError());
CHECK(cudaEventRecord(ev_add1, s1));
CHECK(cudaStreamWaitEvent(s2s, ev_add1, 0));
scale<<<grid, 256, 0, s2s>>>(d_c2, s2, n);
CHECK(cudaGetLastError());
CHECK(cudaEventRecord(ev_scale2, s2s));
CHECK(cudaStreamWaitEvent(s1, ev_scale2, 0));
CHECK(cudaMemcpyAsync(h_c1, d_c1, bytes, cudaMemcpyDeviceToHost, s1));
CHECK(cudaMemcpyAsync(h_c2, d_c2, bytes, cudaMemcpyDeviceToHost, s2s));
CHECK(cudaEventRecord(t1, s1));
CHECK(cudaStreamSynchronize(s1));
CHECK(cudaStreamSynchronize(s2s));
CHECK(cudaEventElapsedTime(&ms, t0, t1));
report_diff("c1", h_c1, h_a1, n);
{
float *exp2 = (float *)malloc(bytes);
for (i = 0; i < n; i++)
exp2[i] = (h_a2[i] + h_b2[i]) * s2;
report_diff("c2", h_c2, exp2, n);
for (i = 0; i < n; i++) {
if (h_c1[i] != h_a1[i] + h_b1[i])
bad++;
if (h_c2[i] != exp2[i])
bad++;
}
free(exp2);
}
printf("STREAMS n=%d bad=%d\n", n, bad);
printf("TIMING ms=%.3f\n", ms);
if (bad != 0) {
printf("STATUS FAIL\n");
return 1;
}
printf("STATUS OK\n");
return 0;
}
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