void StartJobParallelFor()
{
NativeArray <float> a = new NativeArray <float>(2, Allocator.TempJob);
NativeArray <float> b = new NativeArray <float>(2, Allocator.TempJob);
NativeArray <float> result = new NativeArray <float>(2, Allocator.TempJob);
a[0] = 1.1f;
b[0] = 2.2f;
a[1] = 3.3f;
b[1] = 4.4f;
MyParallelJob jobData = new MyParallelJob();
jobData.a = a;
jobData.b = b;
jobData.result = result;
// Schedule the job with one Execute per index in the results array and only 1 item per processing batch
JobHandle handle = jobData.Schedule(result.Length, 1);
// Wait for the job to complete
handle.Complete();
Debug.Log(result[0] + " " + result[1]);
// Free the memory allocated by the arrays
a.Dispose();
b.Dispose();
result.Dispose();
}
public static byte[] EndianSwap(byte[] inputBytes)
{
NativeArray <byte> a = new NativeArray <byte>(inputBytes.Length, Allocator.TempJob);
NativeArray <byte> result = new NativeArray <byte>(inputBytes.Length, Allocator.TempJob);
a.CopyFrom(inputBytes);
MyParallelJob jobData = new MyParallelJob();
jobData.a = a;
jobData.result = result;
// Schedule the job with one Execute per index in the results array and only 1 item per processing batch
JobHandle handle = jobData.Schedule(result.Length, 1);
// Wait for the job to complete
handle.Complete();
result.CopyTo(inputBytes);
a.Dispose();
result.Dispose();
return(inputBytes);
}
// Start is called before the first frame update
void Start()
{
NativeArray <byte> a = new NativeArray <byte>(16, Allocator.TempJob);
// NativeArray<float> b = new NativeArray<float>(2, Allocator.TempJob);
NativeArray <byte> result = new NativeArray <byte>(16, Allocator.TempJob);
for (int i = 0; i < 16; i++)
{
a[i] = (byte)('a' + i);
}
MyParallelJob jobData = new MyParallelJob();
jobData.a = a;
jobData.result = result;
// Schedule the job with one Execute per index in the results array and only 1 item per processing batch
JobHandle handle = jobData.Schedule(result.Length, 1);
// Wait for the job to complete
handle.Complete();
Debug.Log("done");
foreach (char x in result)
{
Debug.Log(x);
}
// Free the memory allocated by the arrays
a.Dispose();
result.Dispose();
}
private void ParallelCalc()
{
// record start time
float startTime = Time.realtimeSinceStartup;
var startTimea = DateTime.Now;
NativeArray <float> a = new NativeArray <float>(calcSize, Allocator.TempJob);
NativeArray <float> b = new NativeArray <float>(calcSize, Allocator.TempJob);
NativeArray <float> result = new NativeArray <float>(calcSize, Allocator.TempJob);
float startTime1 = Time.realtimeSinceStartup;
var startTime1a = DateTime.Now;
for (int i = 0; i < calcSize; i++)
{
a[i] = 0.005f * i;
b[i] = 0.007f * i;
}
MyParallelJob jobData = new MyParallelJob();
jobData.a = a;
jobData.b = b;
jobData.result = result;
// Schedule the job with one Execute per index in the results array and only 1 item per processing batch
JobHandle handle = jobData.Schedule(result.Length, 100);
// Wait for the job to complete
handle.Complete();
// record end time
float endTime = Time.realtimeSinceStartup;
var endTimea = DateTime.Now;;
//Debug.Log("TotalCount:" + result.Length);
float temp = result[calcSize - 1];
Debug.Log("The last Value:" + temp);
Debug.Log("TotalCount:" + result.Length + ",Parallel Use Time:" + (endTime - startTime) + ",Init Use Time:" + (startTime1 - startTime));
text.text += "ParallelCalc " + (endTime - startTime) + " ";
Debug.Log("TotalCount:" + result.Length + ",Parallel Use Time:" + (endTimea - startTimea).TotalMilliseconds + ",Init Use Time:" + (startTime1a - startTimea).TotalMilliseconds);
// Free the memory allocated by the arrays
a.Dispose();
b.Dispose();
result.Dispose();
}
