Location History:
- Tarrytown, NY (US) (2012)
- Hawthorne, NY (US) (2013)
- Sleepy Hollow, NY (US) (2016 - 2019)
Company Filing History:
Years Active: 2012-2025
Title: Innovations of Dinesh Kumar
Introduction
Dinesh Kumar is a prominent inventor based in Sleepy Hollow, NY (US). He has made significant contributions to the field of software architecture and power optimization, holding a total of 9 patents. His work focuses on enhancing the efficiency of program code and software systems.
Latest Patents
One of Dinesh's latest patents is titled "Cross-layer power optimization of program code and/or software architecture." This invention involves receiving a plurality of subsystem power profiles for various subsystems of a host platform in a production data processing environment. Each profile specifies the power consumption of a subsystem across different workload traffic intensities. By utilizing these power profiles, the source code and software architecture are optimized to improve power consumption per unit of performance in the production environment. Another notable patent is "Scheduling homogeneous and heterogeneous workloads with runtime elasticity in a parallel processing environment." This patent provides systems and methods for scheduling both batch and dedicated jobs, allowing for resource requirements to change during the execution of a job.
Career Highlights
Dinesh Kumar is currently employed at International Business Machines Corporation (IBM), where he continues to innovate and develop new technologies. His work at IBM has positioned him as a key player in the advancement of software solutions that address power efficiency and workload management.
Collaborations
Dinesh has collaborated with notable coworkers such as Hani Talal Jamjoom and Zon-Yin Shae, contributing to various projects that enhance the capabilities of software systems.
Conclusion
Dinesh Kumar's contributions to software architecture and power optimization demonstrate his commitment to innovation in technology. His patents reflect a deep understanding of the complexities involved in program code development and resource management.