Munich, Germany

Peter Franz Valentin Sollich


Average Co-Inventor Count = 1.4

ph-index = 2

Forward Citations = 40(Granted Patents)


Location History:

  • Redmond, WA (US) (2020)
  • Bavaria, DE (2022)
  • Munich, DE (2013 - 2024)

Company Filing History:


Years Active: 2013-2024

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7 patents (USPTO):Explore Patents

Title: Peter Franz Valentin Sollich: Innovator in Memory Management Technologies

Introduction

Peter Franz Valentin Sollich is a notable inventor based in Munich, Germany. He has made significant contributions to the field of memory management, holding a total of 7 patents. His work primarily focuses on optimizing memory access and management in computational systems.

Latest Patents

Among his latest patents is the "Garbage Collection Prefetching State Machine." This invention addresses the challenges of garbage collection and other computational tasks that access memory outside of processor registers. The patent outlines a method where specific memory accesses are separated from other computations, utilizing a memory access state machine to control the execution of both types of tasks. Additionally, he has developed an "Arena-Based Memory Management" system. This system allows for efficient memory reclamation by collecting unused objects from a designated arena and copying live objects to a heap, thereby optimizing memory usage.

Career Highlights

Peter Sollich is currently employed at Microsoft Technology Licensing, LLC, where he continues to innovate in the realm of memory management technologies. His expertise and inventions have significantly impacted the efficiency of memory operations in computing systems.

Collaborations

Throughout his career, Peter has collaborated with esteemed colleagues such as Maoni Zhang Stephens and Robert Lovejoy Goodwin. Their combined efforts have contributed to advancements in memory management and computational efficiency.

Conclusion

Peter Franz Valentin Sollich is a distinguished inventor whose work in memory management has led to several impactful patents. His contributions continue to shape the future of computational efficiency and memory optimization.

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