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A:

You are sending more data than you expect to the server. Instead of sending the entire document (14227bytes) you are sending the first 14227bytes plus a trailing newline (1byte).
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The server has successfully received the request.

To fix the issue simply cut out the trailing newline. You can use the following method:
var newLine = Environment.NewLine;
var str = Convert.ToBase64String(this.Encoding.GetBytes(xmlDoc);
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string response = string.Concat(xmlDoc);

If you are seeing the error in the browser (requested resource not found) it is most likely that your server does not accept.NET provided request. Check with that again.

Q:

Running OpenCL Reductions on multiple devices

We are using OpenCL on our GPU’s to perform a specific task for us. What we are doing is essentially:
reduce(d_in,&d_out,(cl_uint)(cl_ulong)sizeof(cl_uint),sizeof(cl_long),d_in,0,0,0);

where

cl_ulong is a struct which holds a series of 4 unsigned ints
The value of d_in and d_out are of type cl_ulong
The reduction has been split into multiple threads
We want to run this across multiple devices (and possibly GPUs)

For the first part of this function, we are trying to reduce the number of operations needed to run our assignment by having a common d_in which is used as reference by all threads.
The problem is that we are now getting an OpenCL error when trying to run the code on the GPU’s. The error is:
CL_OUT_OF_RESOURCES – In order to reduce the workload further, reduce the size of the data.

If we have the OpenCL code in a single thread, we can run it on multiple devices, but in our case we want a reduce that will take place across different threads.
I have read the following regarding the usage of reductions:

OpenCL supports:
2D reductions
(for the