[Editor's note: For an intro to fixed-point math, see Fixed-Point DSP and Algorithm Implementation. For a comparison of fixed- and floating-point hardware, see Fixed vs. floating point: a surprisingly ...
Because so many microcontrollers now include a floating-point unit (FPU) that performs math operations, engineers can tackle a wider range of applications that rely on precise values for control ...
Most AI chips and hardware accelerators that power machine learning (ML) and deep learning (DL) applications include floating-point units (FPUs). Algorithms used in neural networks today are often ...
Floating-point arithmetic is a cornerstone of modern computational science, providing an efficient means to approximate real numbers within a finite precision framework. Its ubiquity across scientific ...
In this video, John Gustafson from the National University of Singapore presents: Beyond Floating Point: Next Generation Computer Arithmetic. “A new data type called a “posit” is designed for direct ...
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 ...
A team led by Paderborn scientists Professor Thomas D. Kühne and Professor Christian Plessl has succeeded in becoming the first group in the world to break the major “exaflop” barrier – more than a ...
This article explains the basics of floating-point arithmetic, how floating-point units (FPUs) work, and how to use FPGAs for easy, low-cost floating-point processing. Inside microprocessors, numbers ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results