This inventor holds 1 USPTO granted patent. Top assignee: Amazon Technologies, Inc.. Active years: 2024.
Company Filing History:
Years Active: 2024
Title: Aviv Bakal: Innovator in Data Coherency
Introduction
Aviv Bakal is a prominent inventor based in Tel Aviv-Jaffa, Israel, known for his groundbreaking work in data coherency. With a deep understanding of computing systems, his innovations aim to enhance the efficiency of memory access.
Latest Patents
Aviv Bakal holds a notable patent titled "Coherent Agents for Memory Access." This invention addresses the challenge of maintaining data coherency among accelerators that may not directly support or be part of a coherency protocol or domain. The patent outlines a unique solution involving a pair of agents: an application accelerator agent and a coherent agent. The coherent agent ensures the coherency protocol is adhered to and efficiently tracks coherency information for data within a coherent environment. This approach allows accelerators to function similarly to processors that support the coherency protocol, promoting seamless data operations across systems.
Career Highlights
Currently, Aviv Bakal is employed at Amazon Technologies, Inc., where he continues to explore advancements in computing technologies and contribute to the field through his innovative ideas and expertise. His work significantly enhances data processing capabilities and supports various applications across computing platforms.
Collaborations
Throughout his career, Aviv Bakal has collaborated with esteemed colleagues such as Ofer Naaman and Itai Avron. These partnerships have played a crucial role in refining his inventions and advancing their implementation in real-world applications.
Conclusion
Aviv Bakal's contributions to data coherency and memory access protocols exemplify the spirit of innovation that drives modern computing. His patent not only addresses a critical need in the technology landscape but also positions him as a notable figure in the realm of inventors dedicated to enhancing computational efficiency.
