Kjeld Svendsen

Title: Kjeld Svendsen: Innovator in Processor Technology

Introduction

Kjeld Svendsen is a notable inventor based in San Jose, California, recognized for his contributions to processor technology. With a total of nine patents to his name, he has made significant advancements in the field of multi-threaded processing and instruction graduation units.

Latest Patents

Among his latest patents is the "Compact linked-list-based multi-threaded instruction graduation buffer." This invention features a processor and instruction graduation unit that utilizes a linked-list-based multi-threaded graduation buffer and a graduation controller. The graduation buffer is designed to store identification values generated by an instruction decode and dispatch unit, forming linked-list data structures associated with specific program threads. The graduation controller enhances the efficiency of reading and writing identification values to these structures.

Another significant patent is "Latest producer tracking in an out-of-order processor, and applications thereof." This invention includes an operand renamer circuit, a producer tracking circuit, and a results buffer allocator circuit. The control logic in this system modifies in-register status values based on producer tracking status values, optimizing the processing capabilities of the processor.

Career Highlights

Kjeld Svendsen has worked with prominent companies in the technology sector, including MIPS Technologies, Inc. and Arm Finance Overseas Limited. His experience in these organizations has contributed to his expertise in processor design and innovation.

Collaborations

Throughout his career, Kjeld has collaborated with talented individuals such as Maria Ukanwa and Xing Yu Jiang. These partnerships have likely fostered a creative environment that has led to the development of his innovative patents.

Conclusion

Kjeld Svendsen's work in processor technology exemplifies the impact of innovation in the tech industry. His patents reflect a deep understanding of multi-threaded processing and contribute to advancements in computing efficiency.