TheDynamicMatrixclass uses theFB_DynMem_Manager2to dynamically allocate as much memory as required for the given operation. This amazing flexibility comes at the cost of some restrictions on use in order to avoid memory leaks. WARNING Using the assignment operator (:=) to copy aDynamicMatrixwill...
C - Add numbers C - Return Statement C - Avoid Goto C - Command Line Arguments C - Switch Case C - Switch Case Limitations C - getchar() and putchar() C - Iteration Statements C - Pass by Value and Reference C - Structures and Unions C - Structure C - Dynamic Memory C - Fgets...
public class DynamicConfigImplDemo implements IDynamicConfig { public DynamicConfigImplDemo() {} public boolean isFPSEnable() { return true;} public boolean isTraceEnable() { return true; } public boolean isMatrixEnable() { return true; } public boolean isDumpHprof() { return false;} @Ov...
My last CUDA C++ post covered the mechanics of using shared memory, including static and dynamic allocation. In this post I will show some of the performance gains achievable using shared memory. Specifically, I will optimize a matrix transpose to show how to use shared memory to reorder ...
Functional similarity matrices represent, for example, the distribution of different types of PoIs in different regions. Dynamic Matrix. This type of matrix is used when no pre-defined static matrices are used. Many studies have demonstrated the advantages of using dynamic matrices, instead of a ...
Corpus serialized using the sparse coordinate Matrix Market format.Wrap a term-document matrix on disk (in matrix-market format), and present it as an object which supports iteration over the matrix rows (~documents).NotesThe file is read into memory one document at a time, not the whole ...
Memory managementDynamic schedulingSparse matrix-matrix multiplication is a critical kernel for several scientific computing applications, especially the setup phase of algebraic multigrid. The MPI+X programming model, which is growing in popularity, requires that such kernels be implemented in a way that...
Symbolic and numerical processing of sparse matrices and dynamic storage allocation are examined. Finally, the computational algebra of sparse vectors is discussed, since a row of a sparse matrix is a sparse vector and most of sparse matrix algebra requires that operations be performed with sparse ...
the area of questions which you didn't really ask: if you are using a threaded MKL function for CSR, it likely divides the work among threads by scanning the sizes of the individual array sections and allocating a nearly equal total size to each thread (probably not by sc...
How can I utilize arrays in C++? I'm facing an issue with using the auto darray(matrix). const int size_m=10; const int size_n=10; void process(int *x) { //i can pass array, all is well, i work as with dynamic allocated array ...