Results 11 to 20 of about 43,136 (260)
Matrix-matrix multiplication on heterogeneous platforms [PDF]
In this paper, we address the issue of implementing matrix-matrix multiplication on heterogeneous platforms. We target two different classes of heterogeneous computing resources: heterogeneous networks of workstations, and collections of heterogeneous clusters.
Beaumont, Olivier +3 more
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Design of Matrix Multiplication Accelerator for Deep Learning Inference [PDF]
An integer matrix multiplication accelerator based on Zynq SoC platform is proposed to satisfy the computing requirements of matrix multiplication of different sizes in deep learning inference.The parallel architecture based on bus broadcasting makes ...
RAN Decheng, WU Dong, QIAN Lei
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Exploiting Multiple Levels of Parallelism in Sparse Matrix-Matrix Multiplication [PDF]
Sparse matrix-matrix multiplication (or SpGEMM) is a key primitive for many high-performance graph algorithms as well as for some linear solvers, such as algebraic multigrid. The scaling of existing parallel implementations of SpGEMM is heavily bound by communication.
Ariful Azad +7 more
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Fully private and secure coded matrix multiplication with colluding workers
In this paper, we propose a new coded computation scheme that can alleviate straggler effects in distributed computing. We consider data security and master’s privacy for matrix multiplication tasks.
Minchul Kim, Heecheol Yang, Jungwoo Lee
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AN ORDER-P TENSOR MULTIPLICATION WITH CIRCULANT STRUCTURE
Research on mathematical operations involving multidimensional arrays or tensors has increased along with the growing applications involving multidimensional data analysis. The -product of order- tensor is one of tensor multiplications.
Itsar Mangngiri +2 more
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ASIC Implementation of Bit Matrix Multiplier [PDF]
In computer science and digital electronics, a bit matrix multiplier (BMM) is a mathematical operation that is used to quickly multiply binary matrices.
Reddy K. Swetha +4 more
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Local Re-Encoding for Coded Matrix Multiplication
Matrix multiplication is a fundamental operation in various algorithms for big data analytics and machine learning. As the size of the dataset increases rapidly, it is now a common practice to distribute the computation on multiple servers. As straggling
Xian Su +4 more
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Compressed matrix multiplication [PDF]
We present a simple algorithm that approximates the product of n -by- n real matrices A and B . Let ‖AB‖ F denote the Frobenius norm of AB , and b
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Intelligence development has put forward increasing requirements of real-time planning and dynamic feedback in controlling robotic arms. It has become essential in engineering applications to complete the kinematics calculation of complex manipulators in
Jiyang Yu +4 more
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Parallel Transitive Closure Algorithm for Heterogeneous Architecture [PDF]
The traditional method for obtaining the transitive closure of the graphs faces the large amount of calculation and long calculation time. In order to improve the computing speed of the transitive closure algorithm for dealing with large amounts of data,
XIAO Han, GUO Baoyun, LI Cailin, ZHOU Qinglei
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