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 ...
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 ...
I am working on a viewshed* algorithm that does some floating point arithmetic. The algorithm sacrifices accuracy for speed and so only builds an approximate viewshed. The algorithm iteratively ...
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 ...
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?
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 ...
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 ...
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