recommendations_kernel.h

#include "ratings_util.h"

#define BLOCK_DIM_X 32
#define BLOCK_DIM_Y 32
#define BLOCK_SIZE_SIMILARITY 256 // chosen for 100% occupancy
#define BLOCK_SIZE_RECOMMENDATION 1024 // chosen for 100% occupancy
#define BLOCK_SIZE_DENORMALIZATION 1024
#define TILE_SIZE_SIMILARITY 1024 // assumption max TILE_SIZE ratings per row for SIMILARITY
#define TILE_SIZE_RECOMMENDATION 4096 // assumption max TILE_SIZE ratings per row for RECOMMENDATIONS

SimilarityMatrix computeSimilarityParallel(unsigned int dim, unsigned int *csrRowPtr_d, unsigned int *csrColIdx_d,
                                               float *csrData_d,  float *userEuclideanNorm_d);

void allocateMemoryToDevicePtrs(unsigned int dim, unsigned int **csrRowPtr_d, unsigned int **csrColIdx_d,
                                   float **csrData_d, float **userEuclideanNorm_d, RatingsMatrixCSR &ratingMatrix);

void copyRatingsMatrixToDevicePtrs(unsigned int dim, unsigned int *csrRowPtr_d, unsigned int *csrColIdx_d,  float *csrData_d,
                                       float *userEuclideanNorm_d, RatingsMatrixCSR &ratingMatrix);

void freeDevicePtrs(unsigned int *csrRowPtr_d, unsigned int *csrColIdx_d, float *csrData_d, float *userEuclideanNorm_d);

vector<ItemRating> calculateTopNRecommendationsForUserParallel(unsigned int *csrRowPtr_d, unsigned int *csrColIdx_d, float *csrData_d,
                                                 SimilarityMatrix similarityMatrix, vector<unsigned int> movieIds,
                                                 RatingsMatrixCSR &ratingMatrix, unsigned int user_id, unsigned int N);