This repository includes a pure Vitis HLS implementation of matrix-matrix multiplication (A*B=C) for Xilinx FPGAs, using Xilinx Vitis to instantiate memory and PCIe controllers and interface with the host. Experiments run on aVCU1525achieved 462 GFLOP/s, 301 GFLOP/s and 132 GFLOP/s for half...
Scalable matrix matrix multiplication on FPGA This repository includes a pure Vitis HLS implementation of matrix-matrix multiplication (A*B=C) for Xilinx FPGAs, using Xilinx Vitis to instantiate memory and PCIe controllers and interface with the host. Experiments run on a VCU1525 achieved 462 GFLOP...
ZHUO Ling,,PRASANNA.Scalable and modular algorithms for floating-point matrix multiplication on FPGAs.proceedings of the18th International Parallel and Distributed Processing Symposium. 2004Zhuo, L.; Prasanna, V.K.; , Scalable and modular algorithms for floating- point matrix multiplication on FPGAs,...
We use the Xilinx Virtex FPGA devices as the testing platforms and the buses as the interconnect. Several variances of the centralized memory hierarchy and the distributed memory hierarchy are compared by running various benchmarks, including matrix multiplication, IDEA encryption...
(HPC) workloads such as oil and gas, seismic modeling, financial services industry, molecular dynamics, ray tracing, double-precision matrix multiplication, fast Fourier transform and convolutions, and RSA cryptography. The AVX512BW instruction group supports Byte/Word operations, which ...
In particular, the tensor cores are configured to perform deep learning matrix arithmetic, such as convolution operations for neural network training and inferencing. In an embodiment, each tensor core operates on a 4×4 matrix and performs a matrix multiply and accumulate operation D=A×B+C, ...
In particular, the tensor cores are configured to perform deep learning matrix arithmetic, such as convolution operations for neural network training and inferencing. In an embodiment, each tensor core operates on a 4×4 matrix and performs a matrix multiply and accumulate operation D=A×B+C, ...
; Chow, Paul ; Xing, Zuocheng: Matrix Multiplication Based on Scalable Macro-Pipelined FPGA Accelerator Architecture. In: Con- ference on Reconfigurable Computing and FPGAs, IEEE Computer Society, 2009 (ReConFig '09). - ISBN 978-0-7695-3917-1, S. 48-53...
In an Adaptive Optics (AO) system, the generation of the Deformable Mirror (DM) control voltages from the Wavefront Sensor (WFS) measurements is usually through the multiplication of the wavefront slopes with a predetermined reconstructor matrix. The ability to access several hundred hard ...
matrix-computing unitmatrix processormatrix arithmeticcirculant matricesFPGAhardware implementationHigh dimensional matrix algebra is essential in numerous signal processing and machine learning algorithms. This work describes a scalable square matrix-computing unit designed on the basis of circulant matrices. It...