Jungfraujoch/image_analysis/indexing/CUDAMemHelpers.h

// SPDX-FileCopyrightText: 2025 Filip Leonarski, Paul Scherrer Institute <filip.leonarski@psi.ch>
// SPDX-License-Identifier: GPL-3.0-only

#pragma once

#include <cuda_runtime.h>
#include <cufft.h>
#include <stdexcept>
#include <vector>
#include "../common/JFJochException.h"

class CudaStream {
    cudaStream_t stream_ = nullptr;
public:
    // Non-blocking by default: a stream created with cudaStreamDefault synchronises against the legacy
    // NULL stream, so any NULL-stream operation anywhere in the process serialises every worker's GPU
    // work against every other's. With one engine per worker thread that costs most of the parallelism.
    CudaStream(unsigned int flags = cudaStreamNonBlocking) {
        if (cudaStreamCreateWithFlags(&stream_, flags) != cudaSuccess)
            throw JFJochException(JFJochExceptionCategory::GPUCUDAError,
                                  "Failed to create CUDA stream");
    }
    ~CudaStream() {
        if (stream_) cudaStreamDestroy(stream_);
    }
    // Move-only type
    CudaStream(CudaStream&& other) noexcept : stream_(other.stream_) { other.stream_ = nullptr; }
    CudaStream& operator=(CudaStream&& other) noexcept {
        if (this != &other) {
            if (stream_) cudaStreamDestroy(stream_);
            stream_ = other.stream_;
            other.stream_ = nullptr;
        }
        return *this;
    }
    CudaStream(const CudaStream&) = delete;
    CudaStream& operator=(const CudaStream&) = delete;

    operator cudaStream_t() const { return stream_; }
    cudaStream_t get() const { return stream_; }
};

// A timing event, so a phase that is queued on a stream can still report how long the device spent
// on it. cudaEventDisableTiming is deliberately NOT used - timing is the whole point here.
class CudaEvent {
    cudaEvent_t event_ = nullptr;
public:
    CudaEvent() {
        if (cudaEventCreate(&event_) != cudaSuccess)
            throw JFJochException(JFJochExceptionCategory::GPUCUDAError,
                                  "Failed to create CUDA event");
    }
    ~CudaEvent() {
        if (event_) cudaEventDestroy(event_);
    }
    CudaEvent(CudaEvent&& other) noexcept : event_(other.event_) { other.event_ = nullptr; }
    CudaEvent& operator=(CudaEvent&& other) noexcept {
        if (this != &other) {
            if (event_) cudaEventDestroy(event_);
            event_ = other.event_;
            other.event_ = nullptr;
        }
        return *this;
    }
    CudaEvent(const CudaEvent&) = delete;
    CudaEvent& operator=(const CudaEvent&) = delete;

    operator cudaEvent_t() const { return event_; }
    cudaEvent_t get() const { return event_; }
};

class CudaFFTPlan {
    cufftHandle plan_ = 0;
public:
    CudaFFTPlan() = default;

    CudaFFTPlan(
            int rank,
            const int* n,
            const int* inembed, int istride, int idist,
            const int* onembed, int ostride, int odist,
            cufftType type, int batch)
    {
        if (cufftPlanMany(&plan_, rank, const_cast<int*>(n),
                          const_cast<int*>(inembed), istride, idist,
                          const_cast<int*>(onembed), ostride, odist,
                          type, batch) != CUFFT_SUCCESS)
            throw JFJochException(JFJochExceptionCategory::GPUCUDAError,
                                  "Failed to create CUFFT plan with cufftPlanMany");
    }

    // Convenience overload for vector input
    CudaFFTPlan(
            int rank,
            const std::vector<int>& n,
            const std::vector<int>& inembed, int istride, int idist,
            const std::vector<int>& onembed, int ostride, int odist,
            cufftType type, int batch)
            : CudaFFTPlan(rank, n.data(), inembed.data(), istride, idist, onembed.data(), ostride, odist, type, batch)
    {}

    ~CudaFFTPlan() {
        if (plan_) cufftDestroy(plan_);
    }
    // Move-only type
    CudaFFTPlan(CudaFFTPlan&& other) noexcept : plan_(other.plan_) { other.plan_ = 0; }
    CudaFFTPlan& operator=(CudaFFTPlan&& other) noexcept {
        if (this != &other) {
            if (plan_) cufftDestroy(plan_);
            plan_ = other.plan_;
            other.plan_ = 0;
        }
        return *this;
    }
    CudaFFTPlan(const CudaFFTPlan&) = delete;
    CudaFFTPlan& operator=(const CudaFFTPlan&) = delete;

    operator cufftHandle() const { return plan_; }
    cufftHandle get() const { return plan_; }
};

template <typename T>
class CudaDevicePtr {
    T* ptr_ = nullptr;
public:
    CudaDevicePtr() = default;

    explicit CudaDevicePtr(size_t count) {
        if (cudaMalloc(&ptr_, count * sizeof(T)) != cudaSuccess)
            throw JFJochException(JFJochExceptionCategory::GPUCUDAError,
                                  "Failed to allocate device memory");
    }
    ~CudaDevicePtr() {
        if (ptr_) cudaFree(ptr_);
    }
    // Move-only type
    CudaDevicePtr(CudaDevicePtr&& other) noexcept : ptr_(other.ptr_) { other.ptr_ = nullptr; }
    CudaDevicePtr& operator=(CudaDevicePtr&& other) noexcept {
        if (this != &other) {
            if (ptr_) cudaFree(ptr_);
            ptr_ = other.ptr_;
            other.ptr_ = nullptr;
        }
        return *this;
    }
    CudaDevicePtr(const CudaDevicePtr&) = delete;
    CudaDevicePtr& operator=(const CudaDevicePtr&) = delete;

    T* get() const { return ptr_; }
    operator T*() const { return ptr_; }
};

template <typename T>
class CudaHostPtr {
    T* ptr_ = nullptr;
public:
    CudaHostPtr() = default;
    explicit CudaHostPtr(size_t count) {
        if (cudaMallocHost(&ptr_, count * sizeof(T)) != cudaSuccess)
            throw JFJochException(JFJochExceptionCategory::GPUCUDAError,
                                  "Failed to allocate pinned host memory");
    }
    ~CudaHostPtr() {
        if (ptr_) cudaFreeHost(ptr_);
    }
    // Move-only type
    CudaHostPtr(CudaHostPtr&& other) noexcept : ptr_(other.ptr_) { other.ptr_ = nullptr; }
    CudaHostPtr& operator=(CudaHostPtr&& other) noexcept {
        if (this != &other) {
            if (ptr_) cudaFreeHost(ptr_);
            ptr_ = other.ptr_;
            other.ptr_ = nullptr;
        }
        return *this;
    }
    CudaHostPtr(const CudaHostPtr&) = delete;
    CudaHostPtr& operator=(const CudaHostPtr&) = delete;

    T* get() const { return ptr_; }
    operator T*() const { return ptr_; }
};

template <typename T>
class CudaRegisteredVector {
    std::vector<T>* vec_ = nullptr;
    bool registered_ = false;

    static void registerPtr(void* ptr, size_t bytes, unsigned int flags) {
        cudaError_t err = cudaHostRegister(ptr, bytes, flags);
        if (err != cudaSuccess)
            throw JFJochException(JFJochExceptionCategory::GPUCUDAError, "cudaHostRegister failed");
    }
    static void unregisterPtr(void* ptr) {
        cudaError_t err = cudaHostUnregister(ptr);
        if (err != cudaSuccess)
            throw JFJochException(JFJochExceptionCategory::GPUCUDAError, "cudaHostUnregister failed");
    }

public:
    // Non-owning wrapper. Does NOT provide accessors to the vector.
    CudaRegisteredVector() = default;

    CudaRegisteredVector(std::vector<T>& vec, unsigned int flags = cudaHostRegisterDefault)
        : vec_(&vec)
    {
        if (!vec.empty()) {
            registerPtr(vec.data(), vec.size() * sizeof(T), flags);
            registered_ = true;
        }
    }

    ~CudaRegisteredVector() {
        if (registered_ && vec_ && !vec_->empty()) {
            unregisterPtr(vec_->data());
        }
    }

    // Move-only
    CudaRegisteredVector(CudaRegisteredVector&& other) noexcept
        : vec_(other.vec_), registered_(other.registered_) {
        other.vec_ = nullptr;
        other.registered_ = false;
    }

    CudaRegisteredVector& operator=(CudaRegisteredVector&& other) noexcept {
        if (this != &other) {
            // Clean current registration
            if (registered_ && vec_ && !vec_->empty()) {
                unregisterPtr(vec_->data());
            }
            vec_ = other.vec_;
            registered_ = other.registered_;
            other.vec_ = nullptr;
            other.registered_ = false;
        }
        return *this;
    }

    CudaRegisteredVector(const CudaRegisteredVector&) = delete;
    CudaRegisteredVector& operator=(const CudaRegisteredVector&) = delete;

    // Re-register after vector capacity/size change. Caller must ensure
    // the vector is not registered at the moment of mutation.
    void rebind(std::vector<T>& vec, unsigned int flags = cudaHostRegisterDefault) {
        // Unregister previous if needed
        if (registered_ && vec_ && !vec_->empty()) {
            unregisterPtr(vec_->data());
        }
        vec_ = &vec;
        if (!vec.empty()) {
            registerPtr(vec.data(), vec.size() * sizeof(T), flags);
            registered_ = true;
        } else {
            registered_ = false;
        }
    }

    // Explicit unregister (optional).
    void unregister() {
        if (registered_ && vec_ && !vec_->empty()) {
            unregisterPtr(vec_->data());
            registered_ = false;
        }
    }

    bool isRegistered() const { return registered_; }
};