Matrix multiplication accelerationConvolutionLSTMIn this paper, we present hardware accelerators created with high-level synthesis techniques for sparse and dense matrix multiplication operations. The cores can operate with different precisions and are designed to be integrated in a heterogeneous CPU-FPGA ...
I have a problem where I need to multiply a dense matrix by a sparse matrix. The function "mkl_?csrmm" asks for the first matrix to be sparse and the second to be dense. But my case is opposite. Problem: C = A * B + C , where A is dense and B is...
Fast Sparse Matrix-Vector Multiplication for TeraFlop/s Computers. Summary: Eigenvalue problems involving very large sparse matrices are common to various fields in science. In general, the numerical core of iterative eigenvalue algorithms is a matrix-vector multiplication (MVM) involving the large spa...
Matrix multiplication acceleration TensorFlow 1. Introduction In this research, we present FADES (Fused Architecture for DEnse and Sparse tensor processing) dataflow engine and its extension with dynamically reconfigurable (i.e. Xilinx DFX) capabilities to support floating-point and 8-bit precision arithm...
mkl_dcoomm (sparse x dense) multiplication Subscribe More actions Dan4 Beginner 01-04-2010 12:37 PM 600 Views Dear all,I am using mkl_dcoom function for "sparse x dense" operation. The problem is that I get correct result only and only when my sparse matrix is dia...
When a scipy sparse matrix element-wise multiples a dense ndarray, the returned matrix is of type matrix, which seems very inefficient, given that it is obviously a sparse matrix. In [90]: A = scipy.sparse.csr_matrix((5, 5)) In [93]: B = np.random.randn(5, 5) In [96]: C ...
An Efficient Phone N-Gram Forward-Backward Computation Using Dense Matrix Multiplication The forward-backward algorithm is commonly used to train neural network acoustic models when optimizing a sequence objective like MMI and sMBR. Recent work on lattice-free MMI training of neural network acoustic mod...
1) dense and sparse matrix 稠密与稀疏矩阵2) Sparse Matrix 稀疏矩阵 1. An efficient image compression algorithm based on sparse matrix; 一种基于稀疏矩阵的高效图像压缩算法 2. Implementation of the Sparse Matrix Multiplication based on C++; 基于C++的稀疏矩阵乘法运算器的实现 3. Improved ...
To perform the dense matrix-matrix multiplicationCm x n= alpha · Am x k· Bk x n+ beta · Cm x n, the full-blown GEMM interface can be treated with "default arguments" (which is deviating from the BLAS standard, however without compromising the binary compatibility)....
Consequentially, forming the set {a} as a vector, all sensors’ measurements can be represented by the following matrices multiplication: $$ \vec{a} = M \cdot \overrightarrow {Q}^{T} $$ (2) Given [M], we assume that there exists a matrixE, which satisfies: ...