Sparse Matrix-Vector Multiplication refers to a fundamental computational operation used in scientific and engineering applications that involves multiplying a sparse matrix with a vector. It is a process where
Sparse Matrix-Vector multiplication (SpMV) is one of the key operations in linear algebra. Overcoming thread divergence, load imbalance and un-coalesced and indirect memory access due to sparsity and irregularity are challenges to optimizing SpMV on GPUs. This dissertation develops solutions that ...
Sparse matrix-vector multiplication (SpMV) is one of the important subroutines in numerical linear algebras widely used in lots of large-scale applications. Accelerating SpMV on multicore and manycore architectures based on Compressed Sparse Row (CSR) format via row-wise parallelization is one of th...
[kernel version (1, 2, or 3)]: 1: the regular sparse matrix-vector multiplication in Nvidia's cuSparse; 2: the optimized sparse matrix-vector multiplication in Nvidia's cuSparse; 3: the sparse matrix-vector multiplication implemented in CSR5. Kernel version will be applied to SpVM version ...
[5] Implementing Sparse Matrix-Vector Multiplication on Throughput-Oriented Processors, Nathan Bell and Michael Garland, Proceedings of Supercomputing '09 [6] Efficient Sparse Matrix-Vector Multiplication on CUDA, Nathan Bell and Michael Garland, NVIDIA Technical Report NVR-2008-004, December 2008...
[5] N. Bell and M. Garland, “Efficient Sparse Matrix-Vector Multiplication onCUDA,” NVIDIA Corporation, NVIDIA Technical Report NVR-2008-004, Dec. 2008. [6] Y. Lecun, L. Bottou, Y. Bengio, and P. Haffner, “Gradient-based learning appliedto document recognition,” ...
DIA和ELL格式在进行稀疏矩阵-矢量乘积(sparse matrix-vector products)时效率最高,所以它们是应用迭代法(如共轭梯度法)解稀疏线性系统最快的格式 COO格式常用于从文件中进行稀疏矩阵的读写,如matrix market即采用COO格式,而CSR格式常用于读入数据后进行稀疏矩阵计算...
TileSpMVis an open source code that uses a tiled structure to optimize sparse matrix-vector multiplication (SpMV) on GPUs. Paper information Yuyao Niu, Zhengyang Lu, Meichen Dong, Zhou Jin, Weifeng Liu and Guangming Tan, "TileSpMV: A Tiled Algorithm for Sparse Matrix-Vector Multiplication on ...
在上述背景下,2018年,一种称为稀疏矢量码(Sparse Vector Coding,SVC)的短包传输技术被提出[1]。与传统传输方式不同的是,SVC将发送的信息比特映射到一个稀疏向量的少量非零索引上,并通过一个非正交码本将该稀疏向量随机扩展到一个低维的序列,最后将该序列映射到时频资源进行传输。在接收端,接收机只需检测接收信...
scala sparseVetor, SprseMatrix 实现 def rand(seed:Int):Double={ val rand=new Random(seed) rand.nextDouble() } def rand2(size:Int,seed:Int):SparseVector={ val rand=new Random(seed) val ret_indices=Array.range(0,size) val ret_values=Array.tabulate[Double](size)(i=>rand.nextDouble()...