Company Filing History:
Years Active: 2020-2023
Title: Todd Michael Massengill: Innovator in Neural Network Processors
Introduction
Todd Michael Massengill is a notable inventor based in Woodinville, WA (US). He has made significant contributions to the field of neural network processors, holding 2 patents that showcase his innovative approach to technology.
Latest Patents
Massengill's latest patents include a "Neural network processor based on application specific synthesis specialization parameters." This patent describes customized neural network processors that utilize specific synthesis specialization parameters to optimize microarchitecture instances for various neural network models. Key features include aligning native vector dimensions to minimize padding, increasing lane widths for enhanced intra-row-level parallelism, and expanding matrix multiply tiles to leverage sub-matrix parallelism for large models. Another patent, titled "Matrix vector multiplier with a vector register file comprising a multi-port memory," details a processor that incorporates a vector register file with multi-port memory. This design allows for efficient processing of N by N matrices and N by 1 vectors, enhancing the performance of neural network computations.
Career Highlights
Todd Michael Massengill is currently employed at Microsoft Technology Licensing, LLC, where he continues to develop cutting-edge technologies in the realm of neural networks. His work is instrumental in advancing the capabilities of neural network processors, making them more efficient and effective for various applications.
Collaborations
Massengill has collaborated with notable colleagues such as Jeremy Halden Fowers and Kalin Ovtcharov, contributing to a dynamic environment of innovation and technological advancement.
Conclusion
Todd Michael Massengill stands out as a key figure in the development of neural network processors, with his patents reflecting a deep understanding of application-specific technology. His contributions are paving the way for future advancements in the field.