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 ...

The Electronics and Telecommunications Research Institute (ETRI) of South Korea announced that a group of South Korean researchers has developed the country’s first floating point accelerator chip for ...

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 ...

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 ...

At the recent Nvidia GTC conference, the company unveiled what it described as the first single-rack system of servers capable of one exaflop — one billion billion, or a quintillion, floating-point ...

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 ...

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?

Although something that’s taken for granted these days, the ability to perform floating-point operations in hardware was, for the longest time, something reserved for people with big wallets. This ...