From 961dc65a8f1bce4dbcb02d44b714903ee49f86d2 Mon Sep 17 00:00:00 2001
From: Uzair Mohammed <uzair.hamed@gmail.com>
Date: Thu, 12 Dec 2024 01:31:08 -0800
Subject: [PATCH] Cleaned up code

---
 vecadd_cpu.cpp                 | 6 +++---
 vecadd_gpu_1t.cu               | 6 +++---
 vecadd_gpu_256t.cu             | 6 +++---
 vecadd_gpu_256t_mb.cu          | 7 +++----
 vecadd_gpu_256t_mb_prefetch.cu | 7 +++----
 5 files changed, 15 insertions(+), 17 deletions(-)

diff --git a/vecadd_cpu.cpp b/vecadd_cpu.cpp
index 0807046..9911309 100644
--- a/vecadd_cpu.cpp
+++ b/vecadd_cpu.cpp
@@ -9,7 +9,7 @@ void add(int n, float *x, float *y) {
 }
 
 int main(void) {
-  int N = 1 << 29; // Setting problem size to 1<<29 (536,870,912 elements)
+  int N = 1 << 29;
 
   float *x = new float[N];
   float *y = new float[N];
@@ -20,10 +20,10 @@ int main(void) {
     y[i] = 2.0f;
   }
 
-  // Timer starts before the add function call
+  // Start chrono timer
   auto start_time = std::chrono::high_resolution_clock::now();
 
-  // Run kernel on the elements on the CPU
+  // Run kernel on N << 29 elements on the CPU
   add(N, x, y);
 
   // Timer ends after the add function call
diff --git a/vecadd_gpu_1t.cu b/vecadd_gpu_1t.cu
index 5e83d59..e444f85 100644
--- a/vecadd_gpu_1t.cu
+++ b/vecadd_gpu_1t.cu
@@ -1,6 +1,6 @@
-#include <iostream>
 #include <cmath>
 #include <cuda_runtime.h>
+#include <iostream>
 
 // function to add the elements of two arrays
 __global__ void add(int n, float *x, float *y) {
@@ -9,7 +9,7 @@ __global__ void add(int n, float *x, float *y) {
 }
 
 int main(void) {
-  int N = 1 << 29; // Setting problem size to 1<<29 (536,870,912 elements)
+  int N = 1 << 29;
 
   float *x, *y;
 
@@ -40,4 +40,4 @@ int main(void) {
   cudaFree(y);
 
   return 0;
-}
\ No newline at end of file
+}
diff --git a/vecadd_gpu_256t.cu b/vecadd_gpu_256t.cu
index 090be88..5480e44 100644
--- a/vecadd_gpu_256t.cu
+++ b/vecadd_gpu_256t.cu
@@ -1,6 +1,6 @@
-#include <iostream>
 #include <cmath>
 #include <cuda_runtime.h>
+#include <iostream>
 
 // function to add the elements of two arrays
 __global__ void add(int n, float *x, float *y) {
@@ -11,7 +11,7 @@ __global__ void add(int n, float *x, float *y) {
 }
 
 int main(void) {
-  int N = 1 << 29; // Setting problem size to 1<<29 (536,870,912 elements)
+  int N = 1 << 29;
 
   float *x, *y;
 
@@ -42,4 +42,4 @@ int main(void) {
   cudaFree(y);
 
   return 0;
-}
\ No newline at end of file
+}
diff --git a/vecadd_gpu_256t_mb.cu b/vecadd_gpu_256t_mb.cu
index c34e260..fcd48e2 100644
--- a/vecadd_gpu_256t_mb.cu
+++ b/vecadd_gpu_256t_mb.cu
@@ -1,6 +1,6 @@
-#include <iostream>
 #include <cmath>
 #include <cuda_runtime.h>
+#include <iostream>
 
 // function to add the elements of two arrays
 __global__ void add(int n, float *x, float *y) {
@@ -11,7 +11,7 @@ __global__ void add(int n, float *x, float *y) {
 }
 
 int main(void) {
-  int N = 1 << 29; // Setting problem size to 1<<29 (536,870,912 elements)
+  int N = 1 << 29;
 
   float *x, *y;
 
@@ -30,7 +30,6 @@ int main(void) {
   // Number of blocks in the grid
   int numberOfBlocks = (N + threadsPerBlock - 1) / threadsPerBlock;
 
-  // Print out the number of thread blocks
   std::cout << "Number of thread blocks: " << numberOfBlocks << std::endl;
 
   // Run kernel on the elements on the GPU with multiple blocks and threads
@@ -50,4 +49,4 @@ int main(void) {
   cudaFree(y);
 
   return 0;
-}
\ No newline at end of file
+}
diff --git a/vecadd_gpu_256t_mb_prefetch.cu b/vecadd_gpu_256t_mb_prefetch.cu
index ef6721c..6a1f709 100644
--- a/vecadd_gpu_256t_mb_prefetch.cu
+++ b/vecadd_gpu_256t_mb_prefetch.cu
@@ -1,6 +1,6 @@
-#include <iostream>
 #include <cmath>
 #include <cuda_runtime.h>
+#include <iostream>
 
 // function to add the elements of two arrays
 __global__ void add(int n, float *x, float *y) {
@@ -11,7 +11,7 @@ __global__ void add(int n, float *x, float *y) {
 }
 
 int main(void) {
-  int N = 1 << 29; // Setting problem size to 1<<29 (536,870,912 elements)
+  int N = 1 << 29;
 
   float *x, *y;
 
@@ -35,7 +35,6 @@ int main(void) {
   // Number of blocks in the grid
   int numberOfBlocks = (N + threadsPerBlock - 1) / threadsPerBlock;
 
-  // Print out the number of thread blocks
   std::cout << "Number of thread blocks: " << numberOfBlocks << std::endl;
 
   // Run kernel on the elements on the GPU with multiple blocks and threads
@@ -55,4 +54,4 @@ int main(void) {
   cudaFree(y);
 
   return 0;
-}
\ No newline at end of file
+}