Company Filing History:
Years Active: 2019-2020
Title: Minyoung Im: Innovator in FPGA Technology
Introduction
Minyoung Im is a prominent inventor based in Seoul, South Korea. He has made significant contributions to the field of technology mapping methods for Field Programmable Gate Arrays (FPGAs). With a total of 2 patents, his work focuses on enhancing the efficiency and functionality of FPGA designs.
Latest Patents
Minyoung Im's latest patents include a technology mapping method for an FPGA. This method involves converting a gate level netlist into an AND-Inverter Graph (AIG) netlist. It selects a node among the nodes included in the AIG netlist and generates a cut set that includes one or more cuts corresponding to the selected node. The process continues by selecting the best cut through sorting the cuts according to predetermined criteria, ultimately outputting a Look-Up Table (LUT) netlist that includes the best cut. The criteria for selection include a maximum difference of levels of sub-cuts connected in each cut. Another notable patent is a Look-Up Table that includes a decoder configured to decode input signals and output decoded signals. This LUT features a storage unit with multiple magnetic elements, which can be selected based on the decoded signals, and a signal input/output unit that outputs a signal corresponding to the selected magnetic elements.
Career Highlights
Throughout his career, Minyoung Im has worked with notable organizations such as SK Hynix Inc. and Yonsei University. His experience in these institutions has allowed him to develop and refine his innovative ideas in the field of FPGA technology.
Collaborations
Minyoung has collaborated with talented individuals, including Kangwook Jo and Jeongbin Kim. These partnerships have contributed to the advancement of his research and inventions.
Conclusion
Minyoung Im stands out as an influential inventor in the realm of FPGA technology. His innovative patents and collaborations reflect his commitment to advancing the field. His contributions are likely to have a lasting impact on technology mapping methods and FPGA design.