From c1247137da40b526babd443e38c2d4ba46c6e2ad Mon Sep 17 00:00:00 2001
From: Jan Siwiec <jan.siwiec@vsb.cz>
Date: Thu, 8 Jun 2023 10:10:44 +0200
Subject: [PATCH] Update amd.md
---
docs.it4i/cs/amd.md | 30 +++++++++++++++---------------
1 file changed, 15 insertions(+), 15 deletions(-)
diff --git a/docs.it4i/cs/amd.md b/docs.it4i/cs/amd.md
index 2e4df0505..f1d707605 100644
--- a/docs.it4i/cs/amd.md
+++ b/docs.it4i/cs/amd.md
@@ -10,7 +10,7 @@ salloc -N 1 -c 64 -A PROJECT-ID -p p03-amd --gres=gpu:4 --time=08:00:00
where:
- `-N 1` means allocating one server,
-- `-c 64` means allocation 64 cores,
+- `-c 64` means allocation 64 cores,
- `-A` is your project,
- `-p p03-amd` is AMD partition,
- `--gres=gpu:4` means allocating all 4 GPUs of the node,
@@ -96,7 +96,7 @@ int main()
for(long long i = 0; i < count; i++)
printf(" %7.2f", h_y[i]);
printf("\n");
-
+
// allocation of memory on the GPU device
float * d_x;
float * d_y;
@@ -162,7 +162,7 @@ Y: 0.00 110.00 220.00 330.00 440.00 550.00 660.00 770.00 880.00 990.
## HIP and ROCm Libraries
-The list of official AMD libraries can be found here: [https://docs.amd.com/category/libraries][2].
+The list of official AMD libraries can be found here: [https://docs.amd.com/category/libraries][2].
The libraries are installed in the same directory as ROCm
@@ -211,7 +211,7 @@ For this example we use `hipblas.hip.cpp`.
int main()
-{
+{
srand(9600);
int width = 10;
@@ -241,7 +241,7 @@ int main()
for(int i = 0; i < width; i++)
printf("%6.3f ", h_x[i]);
printf("\n");
-
+
float * h_y;
hipHostMalloc(&h_y, height * sizeof(*h_y));
for(int i = 0; i < height; i++)
@@ -251,7 +251,7 @@ int main()
printf("%6.3f ", h_x[i]);
printf("\n");
-
+
// initialization of data in GPU memory
float * d_A;
@@ -263,7 +263,7 @@ int main()
float * d_x;
hipMalloc(&d_x, width * sizeof(*d_x));
hipMemcpy(d_x, h_x, width * sizeof(*d_x), hipMemcpyHostToDevice);
-
+
float * d_y;
hipMalloc(&d_y, height * sizeof(*d_y));
hipMemcpy(d_y, h_y, height * sizeof(*d_y), hipMemcpyHostToDevice);
@@ -282,8 +282,8 @@ int main()
for(int i = 0; i < height; i++)
printf("%6.3f ", h_y[i]);
printf("\n");
-
-
+
+
// calculation of the result on the GPU using the hipBLAS library
hipblasHandle_t blas_handle;
@@ -293,7 +293,7 @@ int main()
hipDeviceSynchronize();
hipblasDestroy(blas_handle);
-
+
// copy the GPU result to CPU memory and print it
hipMemcpy(h_y, d_y, height * sizeof(*d_y), hipMemcpyDeviceToHost);
@@ -356,8 +356,8 @@ int main()
for(int c = 0; c < size; c++)
printf("%6.3f ", h_A[r * h_A_ld + c]);
printf("\n");
- }
-
+ }
+
std::vector<float> h_b(size);
for(int i = 0; i < size; i++)
h_b[i] = (10.0 * rand()) / RAND_MAX;
@@ -378,7 +378,7 @@ int main()
float * d_b;
hipMalloc(&d_b, size * sizeof(float));
-
+
float * d_x;
hipMalloc(&d_x, size * sizeof(float));
@@ -390,7 +390,7 @@ int main()
hipMemcpy2D(d_A, d_A_pitch, h_A.data(), h_A_pitch, size * sizeof(float), size, hipMemcpyHostToDevice);
hipMemcpy(d_b, h_b.data(), size * sizeof(float), hipMemcpyHostToDevice);
-
+
// solving the system using hipSOLVER
@@ -403,7 +403,7 @@ int main()
float * workspace;
int wss = std::max(wss_trf, wss_trs);
hipMalloc(&workspace, wss * sizeof(float));
-
+
hipsolverSgetrf(solverHandle, size, size, d_A, d_A_ld, workspace, wss, d_piv, info);
hipsolverSgetrs(solverHandle, HIPSOLVER_OP_N, size, 1, d_A, d_A_ld, d_piv, d_b, size, workspace, wss, info);
--
GitLab