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 ...

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 ...

Renesas Introduces Dual-core 32-bit SuperH Microcontrollers Capable of Up to 960-MIPS Processing Performance, 800 MFLOPS Floating-point Operation Performance Renesas Technology America, Inc. has ...