Dataflow Function OpenCL (OpenCL Kernel)¶
This is simple example of vector addition to demonstrate Dataflow functionality in OpenCL Kernel. OpenCL Dataflow allows user to run multiple functions together to achieve higher throughput.
KEY CONCEPTS: Function/Task Level Parallelism
KEYWORDS: xcl_dataflow, xclDataflowFifoDepth
This example demonstrates the use of xcl_dataflow
attribute used to
implement task level parallelism in OpenCL kernels i.e. multiple
functions can be pipelied to increase the throughput of the design.
Kernel adder
uses 3 functions read_input
to read inputs from
global memory, compute_add
for addition of these inputs and
write_output
to write the results back to the global memory.
__attribute__ ((xcl_dataflow))
void adder(__global int *in, __global int *out, int inc, int size)
{
int buffer_in[BUFFER_SIZE];
int buffer_out[BUFFER_SIZE];
read_input(in,buffer_in,size);
compute_add(buffer_in,buffer_out,inc,size);
write_result(out,buffer_out,size);
}
DESIGN FILES¶
Application code is located in the src directory. Accelerator binary files will be compiled to the xclbin directory. The xclbin directory is required by the Makefile and its contents will be filled during compilation. A listing of all the files in this example is shown below
src/adder.cl
src/host.cpp
COMMAND LINE ARGUMENTS¶
Once the environment has been configured, the application can be executed by
./host <adder XCLBIN>