Algorithm Acceleration - 2023.2 English

In this section… 1 Introductory reference module in which we run the CPU version of the algorithm in ./cpu_src 4 Alveo U50 modules, located under the ./docs directory Instructions in local readme files for each module

• Introduction — CPU Run: The C++ implementation of the algorithm

  • Run a C++ non-accelerated version of Cholesky algorithm

• Module 1: Setting up the design and establish a performance baseline

  • Understand the host OpenCL APIs that help connect to the kernel implemented onto an AMD device

  • Verify results through emulation both at the software level (sw_emu) and the hardware level (hw_emu)

  • Evaluate the performance by visualizing the timeline trace with Vitis Analyzer

  • Launch Vitis HLS to review the kernel optimizations

• Module 2: This version of the code explicitely applies the PIPELINE and INTERFACE directive

  • Learn about these pragmas and their impact on designs

• Module 3: Change double data types to float

  • Run hardware emulation and then Vitis Analyzer and Vitis HLS

  • Measure the impact on physical resources required to implement the design and performance

• Module 4: Back to using double, the task parallelism pragma is applied to improve results

  • Re-arrange code to enable the task parallelism optimization DATAFLOW pragma

  • Evaluate the performance improvement with Vitis Analyzer

  • Use Vitis HLS to confirm the new micro-architecture created by dataflow

  • Generate the binary (xclbin) to program the card and measure the actual performance

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