STREAM

STREAM for FPGA

This repository contains the STREAM benchmark for FPGA and its OpenCL kernels. This version adds basic support for the Xilinx Vitis toolcchain.

The implementation is based on the STREAM benchmark 5.10 by John D. McCaplin, Ph.D. available at https://www.cs.virginia.edu/stream/.

Build

CMake is used as the build system. The targets below can be used to build the benchmark and its kernels:

Target	Description
STREAM_FPGA_VENDOR	Builds the host application linking with the Intel SDK
STREAM_FPGA_test_VENDOR	Compile the tests and its dependencies linking with the Intel SDK

More over there are additional targets to generate kernel reports and bitstreams. The provided kernel is optimized for the Bittware 520N board with four external channels. The code might need to be modified for other boards since the external channel descriptor string might be different. Also the number of channels is hardcoded and has to be modified for other boards. The kernel targets are:

Target	Description
stream_kernels_VENDOR	Synthesizes the kernel (takes several hours!)
stream_kernels_report_VENDOR	Just compile kernel and create logs and reports
stream_kernels_emulate_VENDOR	Create a n emulation kernel
stream_kernels_single_VENDOR	Synthesizes the kernel (takes several hours!)
stream_kernels_single_report_VENDOR	Just compile kernel and create logs and reports
stream_kernels_single_emulate_VENDOR	Create a n emulation kernel

For the host code as well as the kernels VENDOR can be intel or xilinx. The report target for xilinx is missing but reports will be generated when the kernel is synthesized. The stream_kernels_single targets build a single kernel for all four vector operations. In that case the operation will be defined by an additional operation type input parameter. To use this kernel, run the host code with the parameter --single-kernel.

You can build for example the host application by running

mkdir build && cd build
cmake ..
make STREAM_FPGA_intel

You will find all executables and kernel files in the bin folder of your build directory. Next to the common configuration options given in the README of the benchmark suite you might want to specify the following additional options before build:

Name	Default	Description
DATA_TYPE	float	Data type used for host and device code
VECTOR_COUNT	16	If >1 OpenCL vector types of the given size are used in the device code
DEFAULT_ARRAY_LENGTH	134217728	Length of each input array
GLOBAL_MEM_UNROLL	1	Loop unrolling factor for all loops in the device code
NUM_REPLICATIONS	1	Replicates the kernels the given number of times
DEVICE_BUFFER_SIZE	16384	Number of values that are stored in the local memory in the single kernel approach

Moreover the environment variable INTELFPGAOCLSDKROOT has to be set to the root of the Intel FPGA SDK installation.

Additionally it is possible to set the used compiler and other build tools in the CMakeCache.txt located in the build directory after running cmake.

Execution

For execution of the benchmark run:

./STREAM_FPGA_intel -f path_to_kernel.aocx

For more information on available input parameters run

$./STREAM_FPGA_intel -h

Implementation of the STREAM benchmark proposed in the HPCC benchmark suite for FPGA.
Version: 2.6

MPI Version:  3.1
Config. Time: Thu Dec 08 10:43:26 UTC 2022
Git Commit:   86e0064-dirty

Usage:
  ./bin/STREAM_FPGA_intel [OPTION...]

  -f, --file arg          Kernel file name
  -n, arg                 Number of repetitions (default: 10)
  -i,                     Use memory Interleaving
      --skip-validation   Skip the validation of the output data. This will
                          speed up execution and helps when working with
                          special data types.
      --device arg        Index of the device that has to be used. If not
                          given you will be asked which device to use if there
                          are multiple devices available. (default: 0)
      --platform arg      Index of the platform that has to be used. If not
                          given you will be asked which platform to use if
                          there are multiple platforms available. (default: 0)
      --platform_str arg  Name of the platform that has to be used (default:
                          )
  -r, arg                 Number of used kernel replications (default: 4)
      --dump-json arg     dump benchmark configuration and results to this
                          file in json format (default: )
      --test              Only test given configuration and skip execution
                          and validation
  -h, --help              Print this help
  -s, arg                 Size of the data arrays (default: 134217728)
      --multi-kernel      Use the legacy multi kernel implementation

To execute the unit and integration tests for Intel devices run

CL_CONTEXT_EMULATOR_DEVICE=1 ./STREAM_FPGA_test_intel -f KERNEL_FILE_NAME

in the bin folder within the build directory. It will run an emulation of the kernel and execute some functionality tests.

Result interpretation

The output of the host application is similar to the original STREAM benchmark:

Function            Best Rate           Avg time            Min time            Max time
PCI_write           2.68152e+04 MB/s    6.36535e-02 s       6.00633e-02 s       8.45139e-02 s
PCI_read            2.47220e+04 MB/s    6.72553e-02 s       6.51490e-02 s       6.82519e-02 s
Copy                4.75583e+04 MB/s    2.32275e-02 s       2.25774e-02 s       2.55071e-02 s
Scale               5.35745e+04 MB/s    2.13423e-02 s       2.00420e-02 s       2.42722e-02 s
Add                 5.36221e+04 MB/s    3.33479e-02 s       3.00364e-02 s       3.68116e-02 s
Triad               4.84564e+04 MB/s    3.46477e-02 s       3.32384e-02 s       3.70085e-02 s

In addition it also measures the bandwidth of the connection between host and device. It is distinguished between writing to and reading from the devices memory. The buffers are written to the device before every iteration and read back after each iteration.

Exemplary Results

The benchmark was executed on Bittware 520N cards for different Intel® Quartus® Prime versions. The detailed results of the runs are given in results.txt and as CSV files in the subfolder csv_result_export.

Single Precision

Double Precision

Usage of the Global Ring

It is possible to force a ring interconnect for the global memory with the compiler command -global-ring. To test the impact of this type of interconnect, the benchmark was also synthesized with the additional parameters -global-ring -duplicate-ring for all SDK versions supporting this option.

The raw data of these runs can be found in the folder csv_result_export.

Single Precision

Double Precision

{
  "config_time": "Wed Dec 14 08:43:42 UTC 2022",
  "device": "Intel(R) FPGA Emulation Device",
  "environment": {
    "LD_LIBRARY_PATH": "/opt/software/pc2/EB-SW/software/Python/3.9.5-GCCcore-10.3.0/lib:/opt/software/pc2/EB-SW/software/libffi/3.3-GCCcore-10.3.0/lib64:/opt/software/pc2/EB-SW/software/GMP/6.2.1-GCCcore-10.3.0/lib:/opt/software/pc2/EB-SW/software/SQLite/3.35.4-GCCcore-10.3.0/lib:/opt/software/pc2/EB-SW/software/Tcl/8.6.11-GCCcore-10.3.0/lib:/opt/software/pc2/EB-SW/software/libreadline/8.1-GCCcore-10.3.0/lib:/opt/software/pc2/EB-SW/software/libarchive/3.5.1-GCCcore-10.3.0/lib:/opt/software/pc2/EB-SW/software/cURL/7.76.0-GCCcore-10.3.0/lib:/opt/software/pc2/EB-SW/software/bzip2/1.0.8-GCCcore-10.3.0/lib:/opt/software/pc2/EB-SW/software/ncurses/6.2-GCCcore-10.3.0/lib:/opt/software/pc2/EB-SW/software/ScaLAPACK/2.1.0-gompi-2021a-fb/lib:/opt/software/pc2/EB-SW/software/FFTW/3.3.9-gompi-2021a/lib:/opt/software/pc2/EB-SW/software/FlexiBLAS/3.0.4-GCC-10.3.0/lib:/opt/software/pc2/EB-SW/software/OpenBLAS/0.3.15-GCC-10.3.0/lib:/opt/software/pc2/EB-SW/software/OpenMPI/4.1.1-GCC-10.3.0/lib:/opt/software/pc2/EB-SW/software/PMIx/3.2.3-GCCcore-10.3.0/lib:/opt/software/pc2/EB-SW/software/libfabric/1.12.1-GCCcore-10.3.0/lib:/opt/software/pc2/EB-SW/software/UCX/1.10.0-GCCcore-10.3.0/lib:/opt/software/pc2/EB-SW/software/libevent/2.1.12-GCCcore-10.3.0/lib:/opt/software/pc2/EB-SW/software/OpenSSL/1.1/lib:/opt/software/pc2/EB-SW/software/hwloc/2.4.1-GCCcore-10.3.0/lib:/opt/software/pc2/EB-SW/software/libpciaccess/0.16-GCCcore-10.3.0/lib:/opt/software/pc2/EB-SW/software/libxml2/2.9.10-GCCcore-10.3.0/lib:/opt/software/pc2/EB-SW/software/XZ/5.2.5-GCCcore-10.3.0/lib:/opt/software/pc2/EB-SW/software/numactl/2.0.14-GCCcore-10.3.0/lib:/opt/software/pc2/EB-SW/software/binutils/2.36.1-GCCcore-10.3.0/lib:/opt/software/pc2/EB-SW/software/zlib/1.2.11-GCCcore-10.3.0/lib:/opt/software/pc2/EB-SW/software/GCCcore/10.3.0/lib64:/opt/software/slurm/21.08.6/lib:/opt/software/FPGA/IntelFPGA/opencl_sdk/21.2.0/hld/host/linux64/lib:/opt/software/FPGA/IntelFPGA/opencl_sdk/20.4.0/hld/board/bittware_pcie/s10/linux64/lib"
  },
  "errors": {
    "a_average_error": 0,
    "a_average_relative_error": 0,
    "a_expected": 1153300692992,
    "b_average_error": 0,
    "b_average_relative_error": 0,
    "b_expected": 230660145152,
    "c_average_error": 0,
    "c_average_relative_error": 0,
    "c_expected": 307546849280,
    "epsilon": 1.1920928955078125e-07
  },
  "execution_time": "Wed Dec 14 09:29:17 UTC 2022",
  "git_commit": "be1a4e9-dirty",
  "mpi": {
    "subversion": 1,
    "version": 3
  },
  "name": "STREAM",
  "results": {
    "Add_avg_t": {
      "unit": "s",
      "value": 0.0530118015
    },
    "Add_best_rate": {
      "unit": "MB/s",
      "value": 30506.44534004568
    },
    "Add_max_t": {
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      "value": 0.053374228
    },
    "Add_min_t": {
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      "value": 0.052795818
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    "Copy_avg_t": {
      "unit": "s",
      "value": 0.0389517071
    },
    "Copy_best_rate": {
      "unit": "MB/s",
      "value": 27731.67753145461
    },
    "Copy_max_t": {
      "unit": "s",
      "value": 0.040187928
    },
    "Copy_min_t": {
      "unit": "s",
      "value": 0.038718964
    },
    "PCI_read_avg_t": {
      "unit": "s",
      "value": 0.0597715322
    },
    "PCI_read_best_rate": {
      "unit": "MB/s",
      "value": 27479.82304062059
    },
    "PCI_read_max_t": {
      "unit": "s",
      "value": 0.063351971
    },
    "PCI_read_min_t": {
      "unit": "s",
      "value": 0.058610739
    },
    "PCI_write_avg_t": {
      "unit": "s",
      "value": 0.0685080558
    },
    "PCI_write_best_rate": {
      "unit": "MB/s",
      "value": 25765.843668891466
    },
    "PCI_write_max_t": {
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      "value": 0.120777629
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    "PCI_write_min_t": {
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      "value": 0.062509606
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    "Scale_avg_t": {
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      "value": 0.03978323250000001
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    "Scale_best_rate": {
      "unit": "MB/s",
      "value": 27084.469403573872
    },
    "Scale_max_t": {
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      "value": 0.039983335
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    "Scale_min_t": {
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    "Triad_avg_t": {
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      "value": 0.052600337100000005
    },
    "Triad_best_rate": {
      "unit": "MB/s",
      "value": 30701.997665172144
    },
    "Triad_max_t": {
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      "value": 0.052735936
    },
    "Triad_min_t": {
      "unit": "s",
      "value": 0.052459542
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  },
  "settings": {
    "Array Size": 134217728,
    "Communication Type": false,
    "Data Type": false,
    "Kernel File": false,
    "Kernel Replications": 4,
    "Kernel Type": false,
    "MPI Ranks": 1,
    "Repetitions": 10,
    "Test Mode": false
  },
  "timings": {
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    ],
    "PCI_read": [
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    ]
  },
  "validated": true,
  "version": "2.6"
}