Multi-GPU OpenCL Pipeliner and Load Balancer API for C#

[tugrul_448cores]

This is an open source project which I pushed to github days ago:

wiki: https://github.com/tugrul512bit/Cekirdekler/wiki

download: https://github.com/tugrul512bit/Cekirdekler/wiki

tutorial: https://www.codeproject.com/Articles/1181213/Easy-OpenCL-Multiple-Device-Load-Balancing-and-Pip

the API balances a workload on all selected OpenCL-enabled devices such as 2xHD7870 + 1xHD7970 + 3xHD7770 then if performance is not satisfactory, developer can enable pipelining switch and embarrassingly parallelize some C# codes.

Very simple example to compute sine of array elements:

ClNumberCruncher cr = new ClNumberCruncher(
     AcceleratorType.GPU|AcceleratorType.CPU, // 2 device types to distribute load 
     @"
      __kernel void loadBalanceTest(__global float * a)
      {
            int i=get_global_id(0); // workitem id: 0,1,2,3,....., 1M
            a[i]+=sin(i);  // sine function: somewhat hard to compute                 
      }
");

cr.performanceFeed = true; // report to consolet that what each device is doing

ClArray<float> a = new float[1024*1024]; // 1M elements = 4MB data
 a.partialRead = true;      // efficient array partitioning among all devices, just as work partitioning
for(int i=0;i<100;i++)
      a.compute(cr, 1, "loadBalanceTest", 1024*1024, 64); // 1M workitems, 64 local range