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Next prototype of the framework integration (#100)
Provide a mechanism for a chain of modules to share a resource, that can be e.g. CUDA device memory or a CUDA stream. Minimize data movements between the CPU and the device, and support multiple devices. Allow the same job configuration to be used on all hardware combinations. See HeterogeneousCore/CUDACore/README.md for a more detailed description and examples.
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| Original file line number | Diff line number | Diff line change |
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| #ifndef CUDADataFormats_SiPixelCluster_classes_h | ||
| #define CUDADataFormats_SiPixelCluster_classes_h | ||
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| #include "CUDADataFormats/Common/interface/CUDAProduct.h" | ||
| #include "CUDADataFormats/SiPixelCluster/interface/SiPixelClustersCUDA.h" | ||
| #include "DataFormats/Common/interface/Wrapper.h" | ||
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| #endif |
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| Original file line number | Diff line number | Diff line change |
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| <lcgdict> | ||
| <class name="CUDAProduct<SiPixelClustersCUDA>" persistent="false"/> | ||
| <class name="edm::Wrapper<CUDAProduct<SiPixelClustersCUDA>>" persistent="false"/> | ||
| </lcgdict> |
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CUDADataFormats/SiPixelDigi/interface/SiPixelDigiErrorsCUDA.h
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| #ifndef CUDADataFormats_SiPixelDigi_interface_SiPixelDigiErrorsCUDA_h | ||
| #define CUDADataFormats_SiPixelDigi_interface_SiPixelDigiErrorsCUDA_h | ||
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| #include "DataFormats/SiPixelDigi/interface/PixelErrors.h" | ||
| #include "HeterogeneousCore/CUDAUtilities/interface/device_unique_ptr.h" | ||
| #include "HeterogeneousCore/CUDAUtilities/interface/host_unique_ptr.h" | ||
| #include "HeterogeneousCore/CUDAUtilities/interface/GPUSimpleVector.h" | ||
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| #include <cuda/api_wrappers.h> | ||
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| class SiPixelDigiErrorsCUDA { | ||
| public: | ||
| SiPixelDigiErrorsCUDA() = default; | ||
| explicit SiPixelDigiErrorsCUDA(size_t maxFedWords, PixelFormatterErrors errors, cuda::stream_t<>& stream); | ||
| ~SiPixelDigiErrorsCUDA() = default; | ||
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| SiPixelDigiErrorsCUDA(const SiPixelDigiErrorsCUDA&) = delete; | ||
| SiPixelDigiErrorsCUDA& operator=(const SiPixelDigiErrorsCUDA&) = delete; | ||
| SiPixelDigiErrorsCUDA(SiPixelDigiErrorsCUDA&&) = default; | ||
| SiPixelDigiErrorsCUDA& operator=(SiPixelDigiErrorsCUDA&&) = default; | ||
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| const PixelFormatterErrors& formatterErrors() const { return formatterErrors_h; } | ||
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| GPU::SimpleVector<PixelErrorCompact> *error() { return error_d.get(); } | ||
| GPU::SimpleVector<PixelErrorCompact> const *error() const { return error_d.get(); } | ||
| GPU::SimpleVector<PixelErrorCompact> const *c_error() const { return error_d.get(); } | ||
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| using HostDataError = std::pair<GPU::SimpleVector<PixelErrorCompact>, cudautils::host::unique_ptr<PixelErrorCompact[]>>; | ||
| HostDataError dataErrorToHostAsync(cuda::stream_t<>& stream) const; | ||
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| void copyErrorToHostAsync(cuda::stream_t<>& stream); | ||
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| private: | ||
| cudautils::device::unique_ptr<PixelErrorCompact[]> data_d; | ||
| cudautils::device::unique_ptr<GPU::SimpleVector<PixelErrorCompact>> error_d; | ||
| cudautils::host::unique_ptr<GPU::SimpleVector<PixelErrorCompact>> error_h; | ||
| PixelFormatterErrors formatterErrors_h; | ||
| }; | ||
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| #endif |
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| Original file line number | Diff line number | Diff line change |
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| #include "CUDADataFormats/SiPixelDigi/interface/SiPixelDigiErrorsCUDA.h" | ||
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| #include "FWCore/ServiceRegistry/interface/Service.h" | ||
| #include "HeterogeneousCore/CUDAServices/interface/CUDAService.h" | ||
| #include "HeterogeneousCore/CUDAUtilities/interface/copyAsync.h" | ||
| #include "HeterogeneousCore/CUDAUtilities/interface/memsetAsync.h" | ||
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| SiPixelDigiErrorsCUDA::SiPixelDigiErrorsCUDA(size_t maxFedWords, PixelFormatterErrors errors, cuda::stream_t<>& stream): | ||
| formatterErrors_h(std::move(errors)) | ||
| { | ||
| edm::Service<CUDAService> cs; | ||
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| error_d = cs->make_device_unique<GPU::SimpleVector<PixelErrorCompact>>(stream); | ||
| data_d = cs->make_device_unique<PixelErrorCompact[]>(maxFedWords, stream); | ||
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| cudautils::memsetAsync(data_d, 0x00, maxFedWords, stream); | ||
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| error_h = cs->make_host_unique<GPU::SimpleVector<PixelErrorCompact>>(stream); | ||
| GPU::make_SimpleVector(error_h.get(), maxFedWords, data_d.get()); | ||
| assert(error_h->size() == 0); | ||
| assert(error_h->capacity() == static_cast<int>(maxFedWords)); | ||
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| cudautils::copyAsync(error_d, error_h, stream); | ||
| } | ||
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| void SiPixelDigiErrorsCUDA::copyErrorToHostAsync(cuda::stream_t<>& stream) { | ||
| cudautils::copyAsync(error_h, error_d, stream); | ||
| } | ||
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| SiPixelDigiErrorsCUDA::HostDataError SiPixelDigiErrorsCUDA::dataErrorToHostAsync(cuda::stream_t<>& stream) const { | ||
| edm::Service<CUDAService> cs; | ||
| // On one hand size() could be sufficient. On the other hand, if | ||
| // someone copies the SimpleVector<>, (s)he might expect the data | ||
| // buffer to actually have space for capacity() elements. | ||
| auto data = cs->make_host_unique<PixelErrorCompact[]>(error_h->capacity(), stream); | ||
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| // but transfer only the required amount | ||
| if(error_h->size() > 0) { | ||
| cudautils::copyAsync(data, data_d, error_h->size(), stream); | ||
| } | ||
| auto err = *error_h; | ||
| err.set_data(data.get()); | ||
| return HostDataError(std::move(err), std::move(data)); | ||
| } |
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