The arithmetic unit is one of the important components of CPU design. For computation of complex arithmetic functions on hardware, the CORDIC algorithm is an attractive fixed-point algorithm that uses ...

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 ...

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 ...

The Top 500 list of supercomputers has come and gone again, and vendors have engaged in their usual round of self-congratulations and performance posting. All the talk of FLOPs can get a little ...

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 ...

Altera Corporation changed the game as it relates to floating-point DSP performance in an FPGA. Altera is the first programmable logic company to integrate hardened IEEE 754-compliant, floating-point ...

Three new digital signal controllers (DSCs) from Texas Instruments promise to boost system performance, while simplifying software development for solar-power inverters and various types of industrial ...

What good is a floating point operation embodied in a vector or matrix unit if you can’t get data into fast enough to actually use the compute engine to process it in some fashion in a clock cycle?

AI/ML training traditionally has been performed using floating point data formats, primarily because that is what was available. But this usually isn’t a viable option for inference on the edge, where ...