[jira] [Created] (ARROW-2447) [C++] Create a device abstraction

["Antoine Pitrou (JIRA)" <ji...@apache.org>]

Antoine Pitrou created ARROW-2447:
-------------------------------------

             Summary: [C++] Create a device abstraction
                 Key: ARROW-2447
                 URL: https://issues.apache.org/jira/browse/ARROW-2447
             Project: Apache Arrow
          Issue Type: Improvement
          Components: C++, GPU
    Affects Versions: 0.9.0
            Reporter: Antoine Pitrou


Right now, a plain Buffer doesn't carry information about where it actually lies. That information also cannot be passed around, so you get APIs like {{PlasmaClient}} which take or return device number integers, and have implementations which hardcode operations on CUDA buffers.

Here is a sketch for a proposed Device abstraction:

{code:c++}
class Device {
    enum DeviceKind { KIND_CPU, KIND_CUDA };

    virtual DeviceKind kind() const;
    //MemoryPool* default_memory_pool() const;
    //std::shared_ptr<Buffer> Allocate(...);
};

class CpuDevice : public Device {};

class CudaDevice : public Device {
    int device_num() const;
};

class Buffer {
    virtual DeviceKind device_kind() const;
    virtual std::shared_ptr<Device> device() const;
    virtual bool on_cpu() const {
        return true;
    }

    const uint8_t* cpu_data() const {
        return on_cpu() ? data() : nullptr;
    }
    uint8_t* cpu_mutable_data() {
        return on_cpu() ? mutable_data() : nullptr;
    }

    virtual CopyToCpu(std::shared_ptr<Buffer> dest) const;
    virtual CopyFromCpu(std::shared_ptr<Buffer> src);
};

class CudaBuffer : public Buffer {
    virtual bool on_cpu() const {
        return false;
    }
};

CopyBuffer(std::shared_ptr<Buffer> dest, const std::shared_ptr<Buffer> src);
{code}



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