README.md

bnlearn-v4-quering-xilinx

Parallel Calculation of Local Scores in Bayesian Network Structure Learning using FPGA

• n30-m9-P0 : a single-core software execution (SW)
• n30-m9-P1024 : a single-core software execution using an FPGA accelerator with parallelism 1024 (HW(P=1024))
• n30-m9-P2048 : a single-core software execution using an FPGA accelerator with parallelism 2048 (HW(P=2048))

Requirement

Vitis 2020.2 + Alveo U50

Usage

1. make new Application Project with template "Vector Addition"

File
\> New 
\> Application Project 
\> Next 
\> Select a platform from repository (xilinx_u50_gen3x16_xdma_201920_3) 
\> Application Project name (enter any names you want)
\> SW acceleration templates (Vector Addition) 
\> Finish

2. add files

   1. replace {Project_name}_system/{Project_name}_kernels/src/krnl_vadd.cpp -> {Project_name}_system/{Project_name}_kernels/src/localscore_kernel.cpp
   2. replace {Project_name}_system/{Project_name}/src/vadd.cpp
   3. replace {Project_name}_system/{Project_name}/src/vadd.h
   4. add {Project_name}_system/{Project_name}/src/dataset/asia30.idt

3. Build HW (several hours)

4. Run

Author

• Ryota Miyagi
• Graduate School of Informatics, Kyoto University
• Email: [email protected]