A simple solver for linear integer systems is designed and accelerated on aCycloneV SoC chip that contains Cortex-A based MCU, programmable FPGA, andinter-connect bridges. The solver is designed based on the Gaussian Elimination method, where a system coefficient matric is converted to a Row-Echelon matrix and performing back Back-Substitution to solve system variables. The matrix conversion is implemented in the FPGA with serial and parallel architectures, where the processing of two equations is performed using single and multiple reducer modules. In comparison with the software-based solver, the solver with hardware based-based matrix conversion modules are faster by at least 75% despite very high MCU clock and data transfer overhead bet...
[[abstract]]In this paper we use hypercube computers for solving linear systems. First, the pivoting...
This paper presents architecture for matrix multiplication optimized to be integrated as an accelera...
In this paper, a vector unit tightly coupled with a five-stage pipelined scalar processor is designe...
A simple solver for linear integer systems is designed and accelerated on aCycloneV SoC chip that co...
Significant improvements on Field Programmable Gate Arrays (FPGAs) have been developed recent years....
This paper presents an approach to explore a commercial multi-FPGA system as high performance accele...
AbstractMany scientific and engineering problems can use a system of linear equations. In this study...
To solve the computational complexity and time-consuming problem of large matrix multiplication, thi...
Systolic Array architectures are data-flow based but designing architectures for solving specific pr...
The hardware-oriented algorithms for solution of the linear algebraic equation systems with real and...
With diminishing performance improvement from general-purpose processors and reducing cost for prog...
In today's algorithms for sound localization techniques, matrix calculations are ubiquitous. Therefo...
Conference PaperThis paper presents a novel architecture for matrix inversion by generalizing the QR...
Solving a system of linear and nonlinear equations lies at the heart of many scientific and engineer...
Solving Linear Equation System (LESs) is a common problem in numerous fields of science. Even though...
[[abstract]]In this paper we use hypercube computers for solving linear systems. First, the pivoting...
This paper presents architecture for matrix multiplication optimized to be integrated as an accelera...
In this paper, a vector unit tightly coupled with a five-stage pipelined scalar processor is designe...
A simple solver for linear integer systems is designed and accelerated on aCycloneV SoC chip that co...
Significant improvements on Field Programmable Gate Arrays (FPGAs) have been developed recent years....
This paper presents an approach to explore a commercial multi-FPGA system as high performance accele...
AbstractMany scientific and engineering problems can use a system of linear equations. In this study...
To solve the computational complexity and time-consuming problem of large matrix multiplication, thi...
Systolic Array architectures are data-flow based but designing architectures for solving specific pr...
The hardware-oriented algorithms for solution of the linear algebraic equation systems with real and...
With diminishing performance improvement from general-purpose processors and reducing cost for prog...
In today's algorithms for sound localization techniques, matrix calculations are ubiquitous. Therefo...
Conference PaperThis paper presents a novel architecture for matrix inversion by generalizing the QR...
Solving a system of linear and nonlinear equations lies at the heart of many scientific and engineer...
Solving Linear Equation System (LESs) is a common problem in numerous fields of science. Even though...
[[abstract]]In this paper we use hypercube computers for solving linear systems. First, the pivoting...
This paper presents architecture for matrix multiplication optimized to be integrated as an accelera...
In this paper, a vector unit tightly coupled with a five-stage pipelined scalar processor is designe...