timemory 3.3.0
Modular C++ Toolkit for Performance Analysis and Logging. Profiling API and Tools for C, C++, CUDA, Fortran, and Python. The C++ template API is essentially a framework to creating tools: it is designed to provide a unifying interface for recording various performance measurements alongside data logging and interfaces to other tools.
Classes | Namespaces | Functions
data.hpp File Reference
#include "timemory/backends/device.hpp"
#include "timemory/backends/dmp.hpp"
#include "timemory/components/cuda/backends.hpp"
#include "timemory/components/timing/ert_timer.hpp"
#include "timemory/ert/aligned_allocator.hpp"
#include "timemory/ert/barrier.hpp"
#include "timemory/ert/cache_size.hpp"
#include "timemory/ert/types.hpp"
#include "timemory/settings/declaration.hpp"
#include "timemory/tpls/cereal/cereal.hpp"
#include "timemory/utility/macros.hpp"
#include <array>
#include <atomic>
#include <cstddef>
#include <cstdint>
#include <functional>
#include <numeric>
#include <sstream>
#include <stdexcept>
#include <string>
#include <vector>
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Classes

struct  tim::ert::exec_params
 
class  tim::ert::exec_data< Tp >
 

Namespaces

namespace  tim
 
namespace  tim::ert
 

Functions

template<typename DeviceT , typename Tp , typename Intp = int32_t, device::enable_if_cpu_t< DeviceT > = 0>
void tim::ert::initialize_buffer (Tp *A, const Tp &value, const Intp &nsize)
 
template<typename DeviceT , typename Tp , typename Intp = int32_t, device::enable_if_gpu_t< DeviceT > = 0>
void tim::ert::initialize_buffer (Tp *A, Tp value, Intp nsize)
 

Detailed Description

Provides execution data for ERT

Definition in file data.hpp.