Based on recent technological developments, high-performance floating-point signal processing can, for the very first time, be easily achieved using FPGAs. To date, virtually all FPGA-based signal ...

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 ...

Wong: EEMBC has been around for more than 16 years, why the recent need for floating-point benchmarks? Levy: While floating-point units in processors have been in use for decades, in recent times ...

As defined by the IEEE 754 standard, floating-point values are represented in three fields: a significand or mantissa, a sign bit for the significand and an exponent field. The exponent is a biased ...

Chip maker Nvidia has come a long way in transforming its graphics processors so they can not only be used to drive screens, but also to work as efficient and powerful floating point engines to ...

The rise in interest in deep learning chips for training and inference has reignited interest in how reduced precision compute can cut down on energy, bandwidth, and other constraints inherent to ...

32-bit single-core MCU series, enabling precision feedback for real-time industrial power control design, is a powerful combination of C28x and real-time control accelerator providing a combined 400 ...

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 ...