Sentence examples for matrix multiplication algorithms from inspiring English sources
The two versions are customized for matrix multiplication algorithms.
As examples, fast parallel matrix multiplication algorithms are discussed to illustrate the applicability of approach.
On sorting and matrix multiplication algorithms, we also show that our approach scales up optimally with the number of basic hardware components.
The approach is also efficient as sensing matrices with fast matrix multiplication algorithms can be used, in particular in the case of Fourier measurements.
It is also efficient as sensing matrices with fast matrix multiplication algorithms can be used, thus reducing the need in memory requirement and computational power.
The time complexities of VMT algorithms are dictated by the time complexities of matrix multiplication algorithms.
The matrix multiplication algorithm in the object-attribute distributed computing environment has been used to validate our methodology.
In the second step we derive a matrix multiplication algorithm which enables us to obtain OUSAs with data pipeline period λ="3.
The practical realisation of this methodology is evidenced by a case studying the matrix multiplication algorithm as it is relatively simple and well known.
In February 2015, Maxeler published a dataflow implementation of the dense matrix multiplication algorithm, by splitting vector vector multiplications on DFEs, in order to increase the performance (application icon is given in Fig. 16).
However, the use of these matrices for real-world applications is limited for several reasons: no fast matrix multiplication algorithm is available, huge memory requirements for large scale problems, difficult implementation on hardware, etc.
