Company Filing History:
Years Active: 2023-2025
Title: Innovations of Inventor Nishant Singh
Introduction
Nishant Singh is a prominent inventor based in Bengaluru, India. He has made significant contributions to the field of memory technology, holding three patents that showcase his innovative approach to hardware multilevel memory systems. His work is instrumental in advancing the efficiency and reliability of memory operations in computing systems.
Latest Patents
Nishant's latest patents include a system for selective fill for logical control over hardware multilevel memory. This system features a two-level memory (2LM), where the first level acts as a cache for the second level. The memory controller can detect a cache miss in the first level memory and determine whether to perform a swap based on a specific swap policy assigned to the memory region associated with the requested data. Another notable patent involves technologies for memory mirroring across an interconnect. In this embodiment, a primary memory agent controls a single memory channel and implements memory mirroring by sending mirrored memory operations to a secondary memory agent over an interconnect. The secondary memory agent may not be aware that it is performing mirrored memory operations, while the primary memory agent manages error recovery, scrubbing, and failover.
Career Highlights
Nishant Singh is currently employed at Intel Corporation, where he continues to push the boundaries of memory technology. His work at Intel has positioned him as a key player in the development of advanced memory systems that enhance computing performance.
Collaborations
Some of Nishant's coworkers include Daniel W Liu and Sharada Venkateswaran, who contribute to the collaborative environment at Intel Corporation.
Conclusion
Nishant Singh's innovative patents and contributions to memory technology reflect his expertise and commitment to advancing the field. His work not only enhances the performance of computing systems but also sets the stage for future innovations in memory management.