Company Filing History:
4 out of 882 
4 out of 54,780 
3 out of 69 
Years Active: 2013-2023
Title: Innovations of Chyi-Chang Miao
Introduction
Chyi-Chang Miao is a notable inventor based in Sharon, MA (US). He has made significant contributions to the field of data movement operations, holding a total of 13 patents. His work has been influential in enhancing the efficiency of data processing systems.
Latest Patents
One of Chyi-Chang Miao's latest patents is titled "Method and system for performing data movement operations with read snapshot and in place write update." This patent describes a method that involves storing data for a first memory address in a cache line of a memory of a first processing unit. The cache line is associated with a coherency state indicating that the memory has sole ownership of the cache line. The method includes decoding an instruction for execution by a second processing unit, where the instruction comprises a source data operand specifying the first memory address and a destination operand specifying a memory location in the second processing unit. Upon executing the decoded instruction, data is copied from the cache line of the memory of the first processing unit to the memory location of the second processing unit, while ensuring that the cache line remains in the memory and the coherency state remains unchanged.
Career Highlights
Chyi-Chang Miao has worked with prominent companies in the technology sector, including Mellanox Technologies and Intel Corporation. His experience in these organizations has contributed to his expertise in data movement and processing technologies.
Collaborations
Chyi-Chang Miao has collaborated with notable professionals in his field, including Christopher D. Metcalf and Carl Ramey. These collaborations have likely enriched his work and led to innovative solutions in data processing.
Conclusion
Chyi-Chang Miao's contributions to the field of data movement operations are significant, and his patents reflect his innovative approach to technology. His work continues to influence advancements in data processing systems.