Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: THE ALGORITHMS FOR FPGA IMPLEMENTATION OF SPARSE MATRICES MULTIPLICATION
Implementing sparse matrix-vector multiplication on throughput-oriented processors
Faster Algorithms for Rectangular Matrix Multiplication
A data locality methodology for matrix–matrix multiplication algorithm
An Efficient GPU General Sparse Matrix-Matrix Multiplication for Irregular Data
FPGA Implementation of MultiplyAccumulate (MAC) Unit based on BlockEnable Technique
Partitioning Models for Scaling Parallel Sparse Matrix-Matrix Multiplication
A Portable and High-Performance General Matrix-Multiply (GEMM) Library for GPUs and Single-Chip CPU/GPU Systems
GPU-Accelerated Parallel Sparse LU Factorization Method for Fast Circuit Analysis
The design and use of algorithms for permuting large entries to the diagonal of sparse matrices
Implementation of Strassen's algorithm for matrix multiplication
A truly two-dimensional systolic array FPGA implementation of QR decomposition
A tensor product formulation of Strassen's matrix multiplication algorithm with memory reduction
Performance and Power Characteristics of Matrix Multiplication Algorithms on Multicore and Shared Memory Machines
Fixed-Point CORDIC-Based QR Decomposition by Givens Rotations on FPGA
A new approach for sparse matrix vector product on NVIDIA GPUs
Strassen's Matrix Multiplication on GPUs
Parallel dot-products for deep learning on FPGA
Parallel sparse matrix-vector and matrix-transpose-vector multiplication using compressed sparse blocks
Recursive array layouts and fast parallel matrix multiplication
Analysis of high-performance floating-point arithmetic on FPGAs
Layer-by-layer assemblies for antibacterial applications.
A Broadband Wilkinson Power Divider Based on the Segmented Structure
Comparison of two intraoral scanners based on three-dimensional surface analysis
Iterative Methods for Sparse Linear Systems
Using Anonymized Data for Classification