Company Filing History:
Years Active: 2023-2025
Title: The Innovations of Daniel Joseph Lustig
Introduction
Daniel Joseph Lustig is an accomplished inventor based in Somerville, MA (US). He has made significant contributions to the field of technology, particularly in the area of multi-device synchronization and memory model consistency. With a total of 3 patents to his name, Lustig's work has garnered attention for its innovative approaches to complex computing challenges.
Latest Patents
Lustig's latest patents include "Efficient multi-device synchronization barriers using multicasting." This invention allows a single notification regarding a processing element's (PE) synchronization barrier to be propagated to multiple physical addresses and devices. This capability enables efficient tracking of when each PE has reached the synchronization barrier, allowing for asynchronous compute tasks until the next barrier is reached. Another notable patent is "Multicast and reflective memory behavior for memory model consistency." This patent supports multicasting, where a single memory access request can be sent to multiple physical addresses associated with various processing elements. This innovation enhances the efficiency of memory operations and maintains a coherent memory interface.
Career Highlights
Lustig is currently employed at Nvidia Corporation, a leading company in the field of graphics processing and computing technology. His work at Nvidia has allowed him to explore and develop cutting-edge technologies that push the boundaries of what is possible in computing.
Collaborations
Throughout his career, Lustig has collaborated with notable colleagues, including Glenn A Dearth and Mark Douglas Hummel. These collaborations have contributed to the advancement of his innovative projects and patents.
Conclusion
Daniel Joseph Lustig's contributions to technology through his patents and work at Nvidia Corporation highlight his role as a significant inventor in the field. His innovative approaches to synchronization and memory models continue to influence advancements in computing technology.