New Haven, CT, United States of America

Abhiram Ranade


Average Co-Inventor Count = 9.0

ph-index = 1

Forward Citations = 43(Granted Patents)


Company Filing History:


Years Active: 1989

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1 patent (USPTO):Explore Patents

Title: Abhiram Ranade: Innovator in Virtual Processor Techniques

Introduction

Abhiram Ranade is a notable inventor based in New Haven, CT (US). He has made significant contributions to the field of computer science, particularly in the area of virtual processor mechanisms. His innovative work has led to the development of techniques that enhance the performance of SIMD (Single Instruction, Multiple Data) multiprocessor arrays.

Latest Patents

Ranade holds a patent for "Virtual processor techniques in a SIMD multiprocessor array." This patent describes a virtual processor mechanism that allows physical processors to simulate multiple virtual processors. Each physical processor is associated with dedicated memory, which is divided into regions allocated to the virtual processors. The mechanism enables efficient time-slicing among the virtual memory regions, ensuring that instructions are executed predictably and deterministically across all virtual processors. This innovation has the potential to improve the efficiency of parallel processing in computing systems.

Career Highlights

Abhiram Ranade has worked with Thinking Machines Corporation, where he has applied his expertise in computer architecture and parallel processing. His work has been instrumental in advancing the capabilities of SIMD architectures, making them more effective for various computational tasks.

Collaborations

Ranade has collaborated with prominent figures in the field, including Guy Lewis Steele, Jr. and W. Daniel Hillis. These collaborations have further enriched his research and development efforts, contributing to the advancement of technology in computing.

Conclusion

Abhiram Ranade's contributions to virtual processor techniques exemplify his innovative spirit and dedication to enhancing computing technology. His work continues to influence the field and pave the way for future advancements in parallel processing.

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