Files
Jungfraujoch/image_analysis/azint/AzIntEngineGPU.h
T
leonarski_f e51a45a5ea
Build Packages / build:rpm (rocky8_nocuda) (push) Successful in 12m40s
Build Packages / build:rpm (ubuntu2404_nocuda) (push) Successful in 14m26s
Build Packages / build:rpm (ubuntu2204_nocuda) (push) Successful in 15m21s
Build Packages / build:rpm (rocky9_nocuda) (push) Successful in 15m54s
Build Packages / build:rpm (rocky8) (push) Successful in 17m54s
Build Packages / build:rpm (rocky8_sls9) (push) Successful in 17m58s
Build Packages / build:rpm (rocky9) (push) Successful in 18m35s
Build Packages / build:rpm (rocky9_sls9) (push) Successful in 18m44s
Build Packages / Generate python client (push) Successful in 1m28s
Build Packages / Build documentation (push) Successful in 1m59s
Build Packages / Create release (push) Has been skipped
Build Packages / build:rpm (ubuntu2204) (push) Successful in 10m9s
Build Packages / XDS test (durin plugin) (push) Successful in 9m19s
Build Packages / build:rpm (ubuntu2404) (push) Successful in 12m0s
Build Packages / XDS test (neggia plugin) (push) Successful in 8m47s
Build Packages / DIALS test (push) Successful in 12m36s
Build Packages / XDS test (JFJoch plugin) (push) Successful in 9m57s
Build Packages / Unit tests (push) Successful in 1h1m21s
MXAnalysisWithoutFPGA: Better synchronize preprocessing, azint and spot finding on GPU
2026-04-22 21:38:46 +02:00

31 lines
974 B
C++

// SPDX-FileCopyrightText: 2025 Filip Leonarski, Paul Scherrer Institute <filip.leonarski@psi.ch>
// SPDX-License-Identifier: GPL-3.0-only
#pragma once
#include "AzIntEngine.h"
#include "../indexing/CUDAMemHelpers.h"
class AzIntEngineGPU : public AzIntEngine {
std::shared_ptr<CudaStream> stream;
int threads;
int blocks;
size_t shared_needed;
size_t shared_size;
CudaDevicePtr<float> gpu_azint_correction;
CudaDevicePtr<uint16_t> gpu_pixel_to_bin;
CudaDevicePtr<float> gpu_sum;
CudaDevicePtr<float> gpu_sum2;
CudaDevicePtr<uint32_t> gpu_count;
CudaRegisteredVector<float> cpu_sum_reg;
CudaRegisteredVector<float> cpu_sum2_reg;
CudaRegisteredVector<uint32_t> cpu_count_reg;
CudaDevicePtr<int32_t> gpu_image;
public:
AzIntEngineGPU(const AzimuthalIntegration& integration, std::shared_ptr<CudaStream> stream);
void Run(const std::vector<int32_t> &image, AzimuthalIntegrationProfile &profile) override;
};