According to Apple, to perform multiplication of matrices in a vector processing system, partial products are obtained by dot multiplication of vector registers containing multiple copies of elements ...

OpenCL image processing and matrix multiplication This is a basic demonstration of convolution and matrix multiplication using openCL. The host program is written in python and all kernels are run ...

Image Matrix Transformations If A is a 3 × 3 matrix then we can apply a linear transformation to each rgb vector via matrix multiplication, where [r, g, b] are the original values and [r ′, g ′, b ′] ...

Using the CSR format with Sparse Matrix Vector Multiplication technique, convolution processes achieves 3.4 times and 2.4 times faster than conventional methods for image smoothing and edge detection ...

Real PIM systems can provide high levels of parallelism, large aggregate memory bandwidth and low memory access latency, thereby being a good fit to accelerate the widely-used, memory-bound Sparse ...

The aim of this study was to integrate the simplicity of structured sparsity into existing vector execution flow and vector processing units (VPUs), thus expediting the corresponding matrix ...

Sobel algorithm The Sobel operator, sometimes called the Sobel - Feldman operator or Sobel filter, is used in image processing and computer vision, particularly within edge detection algorithms where ...

Using the CSR format with Sparse Matrix Vector Multiplication technique, convolution processes achieves 3.4 times and 2.4 times faster than conventional methods for image smoothing and edge detection ...