Nature

Floating-Point Arithmetic and Algorithms

Floating-point arithmetic is a cornerstone of numerical computation, enabling the approximate representation of real numbers in a format that balances range and precision. Its widespread applicability ...
Design-Reuse

Floating- to fixed-point MATLAB algorithm conversion for FPGAs

In a recent survey conducted by AccelChip Inc. (recently acquired by Xilinx), 53% of the respondents identified floating- to fixed-point conversion as the most difficult aspect of implementing an ...
EDN

Targeting Floating-Point Algorithms for FPGA or ASIC Deployment

Native Floating-Point HDL code generation allows you to generate VHDL or Verilog for floating-point implementation in hardware without the effort of fixed-point conversion. Native Floating-Point HDL ...
Ars Technica

What are the best ways to reduce floating point error?

I am working on a viewshed* algorithm that does some floating point arithmetic. The algorithm sacrifices accuracy for speed and so only builds an approximate viewshed. The algorithm iteratively ...
Design-Reuse

Xilinx ISE Design Suite 13.3 Full Custom Precision Floating-Point Support Extends Productivity for DSP Designers

New Bit and Cycle Accurate, Single, Double and Full Custom Precision Floating-Point Now Available in System Generator for DSP SAN JOSE, Calif., Nov. 1, 2011 -- Xilinx, Inc. (NASDAQ: XLNX) today ...
Electronic Design

Floating-Point Formats in the World of Machine Learning

Why floating point is important for developing machine-learning models. What floating-point formats are used with machine learning? Over the last two decades, compute-intensive artificial-intelligence ...