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But, even more commonly, if we're using too few, we may have opportunities to tune our code to get even more performance.
This contains a lot of useful information, but also has a lot of things we don't need to know to use OpenCL.
Download qxp 0 50This means we can use the same free tools from methods 1 and 2 to build binaries that run in the cloud if we want to avoid fees for building the FPGA code.
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Download qxp 0 50Open up the Quick Start Guide for Intel FPGA Development Tools on the Nimbix Cloud published by Intel.
Download qxp 0 50Figure 3 shows a summary for the vector add example.
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Download qxp 0 50If we forget this option, the compile will take several hours because it will do the full synthesis, place, and route for the FPGA.
FPGA to get this output.
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Download qxp 0 50Best Practices Guide from Intel does a good job of explaining how to use the reports.
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Download qxp 0 50The instructions are good, but we offer two additional tips.
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The OpenCL environment can be used to perform a compile that will generate the FPGA programming file and reports.
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Download qxp 0 50Quick Start Guide for Intel FPGA Development Tools on the Nimbix Cloud.
We need to run on a machine equipped with an FPGA.
Because compiling for an FPGA is much slower, and debug options are more limited, it's highly preferable to debug as much as possible using emulation before moving to an FPGA.
Download qxp 0 50OpenCL is a standard that extends C with a programming model for accelerating algorithms on heterogeneous systems.
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Download qxp 0 50These resource utilizations give us an idea of how well our OpenCL program is using the parallelism available on our FPGA.
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Download qxp 0 50The emulation method doesn't require an FPGA.
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On Windows, also initialize the Visual Studio variables to make sure everything is done consistently for 64 bits.
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Download qxp 0 50Since our goal is emulation, we'll use this option.
Let's consider a simple vector add to illustrate these three methods for trying out FPGA programming.
Download qxp 0 50Example of selecting an FPGA enabled machine from the pulldown menu of machine types.
More detailed reports are available after the full compile is done.
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These reports are created automatically by the aoc command.
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Intel FPGA platforms has links to accelerator boards.
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It might feel more natural to develop, debug, and build locally until we're ready to run on an FPGA.
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Download qxp 0 50We hope this article gets you started exploring the new world of programming FPGAs with OpenCL.
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Download qxp 0 50Multiple results, which previously had to be done manually, are now done automatically by the compiler and assembled so that we can view them in a browser.
Download qxp 0 50The FPGA code consists of kernels written in OpenCL.
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Best Practices Guide is an excellent place to learn more about how to think about FPGAs when writing in OpenCL, and it gives good information on reports and what they mean.
FPGA SDK for OpenCL.
There are mentions of this in some of the documentation for the FPGA tools, but not in places we'd be likely to read if we were only interested in OpenCL.
Download qxp 0 50There are many reports, tools, libraries, and extensions on the Intel and Altera websites, including free training resources.
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OpenCL also includes an application program interface (API) for the host (CPU) to communicate with the device (an FPGA in our case), traditionally over PCIe, or for one kernel to communicate with another without host interaction.
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Download qxp 0 50In the OpenCL programming model, the user schedules tasks to command queues.
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For designs that consist of multiple kernels, an incremental compile option is available that will automatically identify the kernels that have changed and only recompile the changes.
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The report below may be inaccurate.
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This allows us to debug our program before we wait for the longer compile time needed to generate the final code to run on an FPGA.
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An OpenCL compiler capable of performing over 300 optimizations on the kernel code and producing the entire FPGA image in one step.
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