May 10, 2021 · In this work, we propose a high-throughput FPGA-based engine that has a very high computational efficiency (ratio of achieved to peak throughput) ...
In this work, the input matrix is first divided in blocks with twice as many rows as columns. Next, these blocks are brought to the on-chip memory. They are ...
In this work, we propose a high-throughput FPGA-based engine that has a very high computational efficiency (ratio of achieved to peak throughput) compared to ...
In this work, we propose a high-throughput FPGA-based engine that has a very high computational efficiency (ratio of achieved to peak throughput) compared to ...
Bibliographic details on Acceleration of Parallel-Blocked QR Decomposition of Tall-and-Skinny Matrices on FPGAs.
The architecture and implementation of a high performance QR decomposition IEEE754 single precision floating point core is described, using a modified ...
Apr 27, 2024 · TSQR parallelizes QR factorization of tall-skinny matrices in a divide-and-conquer fashion by decomposing them into sub-matrices, performing ...
TSQR paral- lelizes QR factorization of tall-skinny matrices in a divide- and-conquer fashion by decomposing them into sub-matrices, performing local QR ...
This paper describes how to compute a stable tall-and-skinny QR factorization on a MapReduce architecture in only slightly more than 2 passes over the data, ...
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Acceleration of Parallel-Blocked QR Decomposition of Tall-and-Skinny Matrices on FPGAs ... QR decomposition A QR-decomposition (also called QR- factorization) ...