Cheetah - SKA - PSS - Prototype Time Domain Search Pipeline
Ddtr.cpp
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24 #include "cheetah/ddtr/astroaccelerate/Ddtr.h"
25 
26 
27 namespace ska {
28 namespace cheetah {
29 namespace ddtr {
30 namespace astroaccelerate {
31 
32 
33 template<typename DdtrTraits>
34 struct Ddtr<DdtrTraits>::DdtrWorkerFactory
35 {
36  DdtrWorkerFactory(std::shared_ptr<DedispersionPlan> const& plan)
37  : _plan(plan)
38  {
39  }
40 
41  template<typename DeviceType>
42  DdtrWorker<DdtrTraits>* operator()(DeviceType&)
43  {
44  return new DdtrWorker<DdtrTraits>(_plan->dedispersion_strategy());
45  }
46 
47  private:
48  std::shared_ptr<DedispersionPlan> _plan;
49 };
50 
51 template<typename DdtrTraits>
53  : _plan(std::make_shared<DedispersionPlan>(config, 0))
54  , _factory(new DdtrWorkerFactory(_plan))
55  , _workers(*_factory)
56 {
57 }
58 
59 template<typename DdtrTraits>
61  : _factory(std::move(other._factory))
62  , _workers(std::move(other._workers))
63 {
64 }
65 
66 template<typename DdtrTraits>
67 std::shared_ptr<typename Ddtr<DdtrTraits>::DmTrialsType> Ddtr<DdtrTraits>::operator()(panda::PoolResource<cheetah::Cuda>& gpu, BufferType const& data)
68 {
69  return _workers(gpu)(gpu, data);
70 }
71 
72 template<typename DdtrTraits>
73 std::size_t Ddtr<DdtrTraits>::set_dedispersion_strategy(std::size_t min_gpu_memory, TimeFrequencyType const& tf_data, panda::PoolResource<cheetah::Cuda> const& gpu)
74 {
75  return _workers(gpu).set_dedispersion_strategy(min_gpu_memory, tf_data);spersion_strategy(min_gpu_memory, tf_data);
76 }
77 
78 } // namespace astroaccelerate
79 } // namespace ddtr
80 } // namespace cheetah
81 } // namespace ska
an nvidia CUDA gpu algorithm for dedispersion
Definition: Ddtr.h:42
Some limits and constants for FLDO.
Definition: Brdz.h:35