FieldData structs implemented

src/hurricanedata/datareader.cu

@@ -1,60 +0,0 @@
-#include "datareader.h"
-
-#include <netcdf>
-
-using namespace std;
-using namespace netCDF;
-
-std::vector<float> readData(std::string path, std::string variableName) {
-    netCDF::NcFile data(path, netCDF::NcFile::read);
-
-    multimap<string, NcVar> vars = data.getVars();
-
-    NcVar var = vars.find(variableName)->second;   
-
-    int length = 1;
-    for (NcDim dim: var.getDims()) {
-        length *= dim.getSize();
-    }
-
-    vector<float> vec(length);
-
-    var.getVar(vec.data());
-
-    return vec;
-}
-
-std::pair<float*, size_t> loadDataToDevice(std::string path, std::string variableName) {
-    netCDF::NcFile data(path, netCDF::NcFile::read);
-
-    multimap<string, NcVar> vars = data.getVars();
-
-    NcVar var = vars.find(variableName)->second;   
-
-    int length = 1;
-    for (NcDim dim: var.getDims()) {
-        length *= dim.getSize();
-    }
-
-    // Store NetCDF variable in pinned memory on host
-    float *h_array;
-
-    cudaMallocHost(&h_array, sizeof(float)*length);
-
-    var.getVar(h_array);
-
-    // Copy data to device
-    float *d_array;
-
-    cudaError_t status = cudaMalloc(&d_array, sizeof(float)*length);
-    if (status != cudaSuccess)
-        cout << "Error allocating memory: " << status << "\n";
-
-    cudaMemcpyAsync(d_array, h_array, sizeof(float)*length, cudaMemcpyHostToDevice);
-
-    cudaDeviceSynchronize(); // Heavy hammer synchronisation // TODO: Use streams
-
-    cudaFreeHost(h_array);
-
-    return std::pair(d_array, length);
-}