$ ssh devcloud

source /data/intel_fpga/devcloudLoginToolSetup.sh

Which tool would you like to source?
1) Quartus Prime Lite
2) Quartus Prime Standard
3) Quartus Prime Pro
4) HLS
5) Arria 10 PAC Compilation and Programming - RTL AFU, OpenCL
6) Arria 10 - OneAPI, OpenVINO
7) Stratix 10 PAC Compilation and Programming - RTL AFU, OpenCL

Number: 6
sourcing /opt/intel/inteloneapi/setvars.sh
:: WARNING: setvars.sh has already been run. Skipping re-execution.
To force a re-execution of setvars.sh, use the '--force' option.
Using '--force' can result in excessive use of your environment variables.
[setupvars.sh] OpenVINO environment initialized

$ mkdir A10_ONEAPI
$ cd A10_ONEAPI/
$ oneapi-cli

$ cd vector-add

$ make run_emu -f Makefile.fpga
dpcpp -O2 -g -std=c++17 -fintelfpga src/vector-add-buffers.cpp -o vector-add-buffers.fpga_emu -DFPGA_EMULATOR=1
./vector-add-buffers.fpga_emu
Running on device: Intel(R) FPGA Emulation Device
Vector size: 10000
[0]: 0 + 0 = 0
[1]: 1 + 1 = 2
[2]: 2 + 2 = 4
…
[9999]: 9999 + 9999 = 19998
Vector add successfully completed on device.

$ make run_hw -f Makefile.fpga
dpcpp -O2 -g -std=c++17 -fintelfpga -c src/vector-add-buffers.cpp -o a.o -DFPGA=1
dpcpp -O2 -g -std=c++17 -fintelfpga a.o -o vector-add-buffers.fpga -Xshardware
aoc: Compiling for FPGA. This process may take several hours to complete.  Prior to
performing this compile, be sure to check the reports to ensure the design will meet your
performance targets.  If the reports indicate performance targets are not being met,
code edits may be required.  Please refer to the oneAPI FPGA Optimization Guide for
information on performance tuning applications for FPGAs.
Running on device: pac_a10 : Intel PAC Platform (pac_ee00000)
Vector size: 10000
[0]: 0 + 0 = 0
[1]: 1 + 1 = 2
[2]: 2 + 2 = 4
...
[9999]: 9999 + 9999 = 19998
Vector add successfully completed on device.

real 51m48.382s
user 239m9.249s
sys 6m48.382s

//************************************
// Vector add in DPC++ on device: returns sum in 4th parameter "sum_parallel".
//************************************
void VectorAdd(queue &q, const IntArray &a_array, const IntArray &b_array,
               IntArray &sum_parallel) {
  // Create the range object for the arrays managed by the buffer.
  range<1> num_items{a_array.size()};

  // Create buffers that hold the data shared between the host and the devices.
  // The buffer destructor is responsible to copy the data back to host when it
  // goes out of scope.
  buffer a_buf(a_array);
  buffer b_buf(b_array);
  buffer sum_buf(sum_parallel.data(), num_items);

  // Submit a command group to the queue by a lambda function that contains the
  // data access permission and device computation (kernel).
  q.submit([&](handler &h) {
    // Create an accessor for each buffer with access permission: read, write or
    // read/write. The accessor is a mean to access the memory in the buffer.
    auto a = a_buf.get_access<access::mode::read>(h);
    auto b = b_buf.get_access<access::mode::read>(h);

    // The sum_accessor is used to store (with write permission) the sum data.
    auto sum = sum_buf.get_access<access::mode::write>(h);

    // Use parallel_for to run vector addition in parallel on device. This
    // executes the kernel.
    //    1st parameter is the number of work items.
    //    2nd parameter is the kernel, a lambda that specifies what to do per
    //    work item. The parameter of the lambda is the work item id.
    // DPC++ supports unnamed lambda kernel by default.
    h.parallel_for(num_items, [=](id<1> i) { sum[i] = a[i] + b[i]; });
  });
}

5e:00.0 Processing accelerators: Intel Corporation Device 09c4
        Subsystem: Intel Corporation Device 0000
        Control: I/O- Mem+ BusMaster+ SpecCycle- MemWINV- VGASnoop- ParErr+ Stepping- SERR+ FastB2B- DisINTx+
        Status: Cap+ 66MHz- UDF- FastB2B- ParErr- DEVSEL=fast >TAbort- <TAbort- <MAbort- >SERR- <PERR- INTx-
        Latency: 0, Cache Line Size: 32 bytes
        Interrupt: pin A routed to IRQ 91
        NUMA node: 0
        Region 0: Memory at 38fffff00000 (64-bit, prefetchable) [size=512K]
        Region 2: Memory at 38ffffe00000 (64-bit, prefetchable) [size=1M]
        Capabilities: <access denied>
        Kernel driver in use: intel-fpga-pci
        Kernel modules: intel_fpga_pci