kkraus14 commented on code in PR #37365:
URL: https://github.com/apache/arrow/pull/37365#discussion_r1305841038
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cpp/src/arrow/gpu/cuda_context.h:
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@@ -140,6 +142,71 @@ class ARROW_EXPORT CudaDevice : public Device {
/// \param[in] size The buffer size in bytes
Result<std::shared_ptr<CudaHostBuffer>> AllocateHostBuffer(int64_t size);
+ /// \brief EXPERIMENTAL: Wrapper for CUstreams
+ ///
+ /// Does not *own* the CUstream object which must be separately constructed
+ /// and freed using cuStreamCreate and cuStreamDestroy (or equivalent).
+ /// Default construction will use the cuda default stream, and does not allow
+ /// construction from literal 0 or nullptr.
+ class ARROW_EXPORT Stream : public Device::Stream {
+ public:
+ explicit Stream(std::shared_ptr<CudaContext> ctx) noexcept
+ : context_{std::move(ctx)}, stream_{} {}
+
+ ~Stream() = default;
+ explicit Stream(std::shared_ptr<CudaContext> ctx, CUstream stream) noexcept
+ : context_{std::move(ctx)}, stream_{stream} {}
Review Comment:
The device object. You could have different memory managers of the same
device using the same stream, so I think it logically should be associated to
the device.
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