unimore/hpc-2022-g3
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hpc-2022-g3/OpenMP
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README.md

PolyBench/GPU-OpenMP 1.0

Copyright (c) 2013 the University of Delaware. Contact: William Killian killian@udel.edu

Copyright (c) 2011-2012 the Ohio State University. Contact: Louis-Noel Pouchet pouchet@cse.ohio-state.edu

Available Benchmarks

datamining

  • datamining/correlation
  • datamining/covariance

linear-algebra/kernels

  • linear-algebra/kernels/2mm
  • linear-algebra/kernels/3mm
  • linear-algebra/kernels/atax
  • linear-algebra/kernels/bicg
  • linear-algebra/kernels/cholesky
  • linear-algebra/kernels/doitgen
  • linear-algebra/kernels/gemm
  • linear-algebra/kernels/gemver
  • linear-algebra/kernels/gesummv
  • linear-algebra/kernels/mvt
  • linear-algebra/kernels/symm
  • linear-algebra/kernels/syr2k
  • linear-algebra/kernels/syrk
  • linear-algebra/kernels/trisolv
  • linear-algebra/kernels/trmm

linear-algebra/solvers

  • linear-algebra/solvers/durbin
  • linear-algebra/solvers/dynprog
  • linear-algebra/solvers/gramschmidt
  • linear-algebra/solvers/lu
  • linear-algebra/solvers/ludcmp

stencils

  • stencils/adi
  • stencils/convolution-2d
  • stencils/convolution-3d
  • stencils/fdtd-2d
  • stencils/jacobi-1d-imper
  • stencils/jacobi-2d-imper
  • stencils/seidel-2d

Modifying Codes

Parameters such as the input sizes, data type, and threshold for GPU-CPU output comparison can be modified using constants within the codes and .h files. After modifying, run make clean then make on relevant code for modifications to take effect in resulting executable.

Parameter Configuration

Input Size

By default the STANDARD_DATASET as defined in the .cuh/.h file is used as the input size. The dataset choice can be adjusted from STANDARD_DATASET to other options (MINI_DATASET, SMALL_DATASET, etc) in the .cuh/.h file, the dataset size can be adjusted by defining the input size manually in the .cuh/.h file, or the input size can be changed by simply adjusting the STANDARD_DATASET so the program has different input dimensions.

DATA_TYPE (in .cuh/.h files):

By default, the DATA_TYPE used in these codes are float that can be changed to double by changing the DATA_TYPE typedef. Note that in OpenCL, the DATA_TYPE needs to be changed in both the .h and .cl files, as the .cl files contain the kernel code and is compiled separately at run-time.

Other available options

These are passed as macro definitions during compilation time (e.g -Dname_of_the_option) or can be added with a #define to the code.

  • POLYBENCH_STACK_ARRAYS (only applies to allocation on host): use stack allocation instead of malloc [default: off]

  • POLYBENCH_DUMP_ARRAYS: dump all live-out arrays on stderr [default: off]

  • POLYBENCH_CYCLE_ACCURATE_TIMER: Use Time Stamp Counter to monitor the execution time of the kernel [default: off]

  • MINI_DATASET, SMALL_DATASET, STANDARD_DATASET, LARGE_DATASET, EXTRALARGE_DATASET: set the dataset size to be used [default: STANDARD_DATASET]

  • POLYBENCH_USE_C99_PROTO: Use standard C99 prototype for the functions.

  • POLYBENCH_USE_SCALAR_LB: Use scalar loop bounds instead of parametric ones.