Hillsboro, OR, United States of America

Ching-kai Liang


Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Innovations of Ching-kai Liang

Introduction

Ching-kai Liang is an accomplished inventor based in Hillsboro, Oregon. He is known for his contributions to the field of hardware acceleration, particularly in the development of configurable accelerators with dataflow execution circuits. His innovative work has led to the filing of a patent that showcases his expertise and creativity in this area.

Latest Patents

Ching-kai Liang holds a patent for "Apparatuses, methods, and systems for a configurable accelerator having dataflow execution circuits." This patent describes systems, methods, and apparatuses that relate to a configurable accelerator featuring dataflow execution circuits. In one embodiment, the hardware accelerator includes multiple dataflow execution circuits, each comprising a register file, execution circuits, and a graph station circuit. The graph station circuit contains dataflow operation entries that indicate when input operands are available, allowing for efficient execution of dataflow operations.

Career Highlights

Ching-kai Liang is currently employed at Intel Corporation, a leading technology company known for its innovations in semiconductor manufacturing and computing technologies. His work at Intel has allowed him to contribute significantly to advancements in hardware acceleration and data processing.

Collaborations

Ching-kai Liang has collaborated with notable colleagues, including George Zacharias Chrysos and Bhargavi Narayanasetty. These collaborations have further enriched his work and contributed to the development of innovative technologies in the field.

Conclusion

Ching-kai Liang's contributions to the field of hardware acceleration through his patent and work at Intel Corporation highlight his role as a significant inventor. His innovative approach to configurable accelerators demonstrates the potential for advancements in data processing technologies.

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