1. 有些学校以 Turbo C 为环境讲 C 语言,只是 Turbo C 的环境实在太老了,复制粘贴都很不方便。 2. 有些学校直接拿 VC 来讲 C 语言,因为 VC 的编辑和调试环境都很优秀,并且 VC 有适合教学的免费版本。可惜在 VC 下只能做一些文字性的练习题,想画条直线画个圆都很难,还要注册窗口类、建消息循环等等,...
ListLBM is a sparse lattice Boltzmann solver for multiphase flow in porous media cfdsparse-matrixsparse-codingcomputational-fluid-dynamicslattice-boltzmannmultiphase-flowporous-mediafortran2008porousmultiphaseshan-chen UpdatedJul 7, 2020 Fortran Dictionary Learning for image processing ...
Fast Sparse Matrix-Vector Multiplication on GPUs: Implications for Graph Mining Scaling up the sparse matrix-vector multiplication kernel on modern Graphics Processing Units (GPU) has been at the heart of numerous studies in both acade... X Yang,S Parthasarathy,P Sadayappan - 《Proceedings of ...
Sparse matrix formats for linear algebra supporting scientific and machine learning applications - james-bowman/sparse
sparse matrix codesCRAY-1gaussian eliminationfrontal methodsindirect addressing/ B0290H Linear algebra (numerical analysis) C4140 Linear algebra (numerical analysis)We consider direct methods based on Gaussian elimination for solving sparse sets of linear equations. Among conventional approaches, band and ...
In this section we introduce a naive implementation of SpMV for the ClearSpeed processor. Single- CPU code written in the C language is provided in Appendix A for comparison.We start with two simplifications that will undoubtedly have a dire impact on performance: first, all memory transfers ...
Sparse matrix formats implemented in a low-level imperative language can be hard to code, debug and understand. Furthermore, it is impractical to verify such implementations. Conversion into sparse formats and multiplication of matrices can be thought of as a sequence of data layout transformations....
Optimizing LOBPCG: Sparse Matrix Loop and Data Transformations in Action Sparse matrix computations are widely used in iterative solvers; they are notoriously memory bound and typically yield poor performance on modern architect... K Ahmad,A Venkat,M Hall - Languages & Compilers for Parallel ...
Existing formats for Sparse Matrix–Vector Multiplication (SpMV) on the GPU are outperforming their corresponding implementations on multi-core CPUs. In this paper, we present a new format called Sliced COO (SCOO) and an efficient CUDA implementation to perform SpMV on the GPU using atomic operatio...
Crystal growth generally occurs spontaneously in a supersaturated solution as a result of homogenous nucleation. However, in a typical sparse matrix screening experiment, precipitant and protein concentration are not sampled extensively, and supersaturation conditions suitable for nucleation are often missed....