Company Filing History:
Years Active: 2003-2011
Title: Innovations of Ying-wai Ho in Floating-Point Processing
Introduction
Ying-wai Ho is a prominent inventor based in Los Altos, California, known for his significant contributions to the field of floating-point processing. With a total of 10 patents to his name, he has developed innovative technologies that enhance the accuracy and efficiency of processors.
Latest Patents
One of his latest patents is for a processor with improved accuracy for multiply-add operations. This floating-point processor is capable of performing multiply-add (Madd) operations while incorporating enhanced intermediate result handling capabilities. The design features a multiplier unit coupled to an adder unit. In a specific operating mode, the intermediate result from the multiplier unit is processed into representations that are more accurate and manageable in the adder unit. This method improves accuracy, reduces circuit complexity, and may increase operating speed.
Another notable patent is for a processor having a compare extension of an instruction set architecture. This architecture incorporates a set of high-performance floating-point operations and supports various data formats, including single precision, double precision, and paired-single formats. The extension includes instructions for magnitude comparison of floating-point numbers and conversions between 32-bit fixed-point integers and paired-single floating-point formats.
Career Highlights
Ying-wai Ho has worked with several notable companies throughout his career, including MIPS Technologies, Inc. and Arm Finance Overseas Limited. His work in these organizations has contributed to advancements in processor technology and floating-point operations.
Collaborations
He has collaborated with esteemed colleagues such as John L Kelley and Radhika Thekkath, further enhancing the impact of his innovations in the field.
Conclusion
Ying-wai Ho's contributions to floating-point processing have significantly advanced the capabilities of modern processors. His innovative patents reflect a deep understanding of technology and a commitment to improving computational accuracy and efficiency.
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