Merge remote-tracking branch 'origin/dev' into issue/HAST-325

Lombiq · Oct 1, 2023 · 089f5b3 · 089f5b3
2 parents bc6b666 + 222aa37
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diff --git a/Directory.Build.props b/Directory.Build.props
@@ -3,7 +3,7 @@
 
   <!-- Prevents error NETSDK1152 (Found multiple publish output files with the same relative path) when publishing. This
        error shows up in projects that have multiple indirect dependencies on Hast.Vitis.HardwareFramework that copies
-       HardwareFramework/opencl/src to the build directory -->
+       HardwareFramework/opencl/src to the build directory. -->
   <PropertyGroup>
     <ErrorOnDuplicatePublishOutputFiles>false</ErrorOnDuplicatePublishOutputFiles>
   </PropertyGroup>

diff --git a/Docs/Benchmarks.md b/Docs/Benchmarks.md
@@ -6,9 +6,9 @@ Here are some basic performance benchmarks on how Hastlayer-accelerated code com
 
 All the algorithms are [samples in the Hastlayer solution](../Samples) and available for you to check.
 
-- [`ImageContrastModifier`](../Samples/Hast.Samples.SampleAssembly/ImageContrastModifier.cs): Algorithm for changing the contrast of an image. It's an archetype of parallelized image processing algorithms, also analogous to other kind of 2D algorithms, e.g. camera images, frames of a video, radar images, particle detector data.
-- [`MonteCarloPiEstimator`](../Samples/Hast.Samples.SampleAssembly/MonteCarloPiEstimator.cs): Algorithm to calculate Pi with a random [Monte Carlo method](https://en.wikipedia.org/wiki/Monte_Carlo_method) in a parallelized manner. It's an archetype of parallelized Monte Carlo simulations, i.e. simulations that work with random sampling of data. These are used [a variety of applications](https://en.wikipedia.org/wiki/Monte_Carlo_method#Applications).
-- [`ParallelAlgorithm`](../Samples/Hast.Samples.SampleAssembly/ParallelAlgorithm.cs): An embarrassingly parallel algorithm that is well suited to be accelerated with Hastlayer. It's an archetype of [embarrassingly parallel](https://en.wikipedia.org/wiki/Embarrassingly_parallel) algorithms. A [variety of algorithms](https://en.wikipedia.org/wiki/Embarrassingly_parallel#Examples) are in this class.
+- [`ImageContrastModifier`](../src/Samples/Hast.Samples.SampleAssembly/ImageContrastModifier.cs): Algorithm for changing the contrast of an image. It's an archetype of parallelized image processing algorithms, also analogous to other kind of 2D algorithms, e.g. camera images, frames of a video, radar images, particle detector data.
+- [`MonteCarloPiEstimator`](../src/Samples/Hast.Samples.SampleAssembly/MonteCarloPiEstimator.cs): Algorithm to calculate Pi with a random [Monte Carlo method](https://en.wikipedia.org/wiki/Monte_Carlo_method) in a parallelized manner. It's an archetype of parallelized Monte Carlo simulations, i.e. simulations that work with random sampling of data. These are used [a variety of applications](https://en.wikipedia.org/wiki/Monte_Carlo_method#Applications).
+- [`ParallelAlgorithm`](../src/Samples/Hast.Samples.SampleAssembly/ParallelAlgorithm.cs): An embarrassingly parallel algorithm that is well suited to be accelerated with Hastlayer. It's an archetype of [embarrassingly parallel](https://en.wikipedia.org/wiki/Embarrassingly_parallel) algorithms. A [variety of algorithms](https://en.wikipedia.org/wiki/Embarrassingly_parallel#Examples) are in this class.
 
 ## Notes on measurements
 

diff --git a/src/HardwareFrameworks/Vitis b/src/HardwareFrameworks/Vitis
diff --git a/src/Hastlayer/Hast.Vitis/Docs/ZynqReadme.md b/src/Hastlayer/Hast.Vitis/Docs/ZynqReadme.md
@@ -40,7 +40,7 @@ That won't have an effect on the build machine because no file will be on that p
 
 Then rename each file replacing the _003494f20d9b2a7a3a8cc1d42a18a5ce6313962e565ad03d38cffd1505c391ee_ with _my-payload_ and copy them to the SD card using SFTP (_/media/sd-mmcblk0p1/_ directory).
 
-You can see an example of `HardwareGenerationConfiguration.SingleBinaryPath` usage in _Samples/Hast.Samples.Consumer/Program.cs_.
+You can see an example of `HardwareGenerationConfiguration.SingleBinaryPath` usage in _src/Samples/Hast.Samples.Consumer/Program.cs_.
 
 
 ## SD Card Preparation Steps