Location History:
- Beaverton, OR (US) (1994 - 1996)
- Portland, OR (US) (2018)
Company Filing History:
Years Active: 1994-2018
Title: Scott B Huck: Innovator in High-Performance Computing
Introduction
Scott B Huck is a notable inventor based in Portland, OR (US). He has made significant contributions to the field of high-performance computing (HPC) with a total of 4 patents to his name. His work focuses on enhancing energy efficiency and improving data access methods in computing systems.
Latest Patents
One of Huck's latest patents is a "Method to assess energy efficiency of HPC system operated with and without power constraints." This innovative method involves selecting multiple HPC workloads to run on a system under test (SUT) with specific power constraints. The process includes executing these workloads and generating benchmark metrics based on a baseline configuration and measured performance per power values.
Another significant patent is the "Method and apparatus for performing bi-endian byte and short accesses in a single endian microprocessor." This invention allows for efficient data access in microprocessors, promoting sub-word accesses to word accesses. It provides a means for manipulating address bits to ensure compatibility with bi-endian external memory, thus enhancing flexibility in interfacing single-endian microprocessors with bi-endian systems.
Career Highlights
Scott B Huck is currently employed at Intel Corporation, where he continues to innovate in the field of computing technology. His work has been instrumental in advancing the capabilities of high-performance computing systems.
Collaborations
Huck has collaborated with notable colleagues such as Sunil R Shenoy and Konrad K Lai, contributing to various projects that push the boundaries of technology in computing.
Conclusion
Scott B Huck's contributions to high-performance computing through his patents and work at Intel Corporation highlight his role as a key innovator in the field. His inventions not only improve energy efficiency but also enhance data access methods, paving the way for future advancements in computing technology.