VLSI array processors
Parallel Algorithms and Architectures
Parallel Algorithms and Architectures
Matrix Computations on Systolic-Type Arrays
Matrix Computations on Systolic-Type Arrays
Logarithmic Number System and Floating-Point Arithmetics on FPGA
FPL '02 Proceedings of the Reconfigurable Computing Is Going Mainstream, 12th International Conference on Field-Programmable Logic and Applications
Using Floating-Point Arithmetic on FPGAs to Accelerate Scientific N-Body Simulations
FCCM '02 Proceedings of the 10th Annual IEEE Symposium on Field-Programmable Custom Computing Machines
FPGA-Based Acceleration of the 3D Finite-Difference Time-Domain Method
FCCM '04 Proceedings of the 12th Annual IEEE Symposium on Field-Programmable Custom Computing Machines
Closing the Gap: CPU and FPGA Trends in Sustainable Floating-Point BLAS Performance
FCCM '04 Proceedings of the 12th Annual IEEE Symposium on Field-Programmable Custom Computing Machines
64-bit floating-point FPGA matrix multiplication
Proceedings of the 2005 ACM/SIGDA 13th international symposium on Field-programmable gate arrays
Embedded floating-point units in FPGAs
Proceedings of the 2006 ACM/SIGDA 14th international symposium on Field programmable gate arrays
FCCM '06 Proceedings of the 14th Annual IEEE Symposium on Field-Programmable Custom Computing Machines
Sparse Matrix-Vector Multiplication for Finite Element Method Matrices on FPGAs
FCCM '06 Proceedings of the 14th Annual IEEE Symposium on Field-Programmable Custom Computing Machines
Examining the viability of FPGA supercomputing
EURASIP Journal on Embedded Systems
FPGA implementation of the conjugate gradient method
PPAM'05 Proceedings of the 6th international conference on Parallel Processing and Applied Mathematics
Compressed sensing and Cholesky decomposition on FPGAs and GPUs
Parallel Computing
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The fixed-size processor array architecture, which is intended for realization of matrix LLT-decomposition based on Cholesky algorithm, is proposed. In order to implement this architecture in modern FPGA devices, the arithmetic unit (AU) operating in the rational fraction arithmetic is designed. The AU is intended for configuring in the Xilinx Virtex4 FPGAs, and its hardware complexity is much less than the complexity of similar AUs operating with floating-point numbers.