Samyam Rajbhandari

Title: Innovations of Samyam Rajbhandari

Introduction

Samyam Rajbhandari is a notable inventor based in Redmond, WA (US). He has made significant contributions to the field of deep learning and artificial intelligence. His work focuses on optimizing computation schedules for recurrent neural networks, which is crucial for enhancing the efficiency of machine learning models.

Latest Patents

Samyam holds a patent for a deep learning model scheduling system. The patent, titled "Systems, methods, and computer-executable instructions for determining a computation schedule for a recurrent neural network (RNN)," outlines a method for generating valid phased computation schedules for RNNs. The process involves receiving a matrix multiplication directed-acyclic graph for the RNN and generating valid computation schedules that include an ordering of matrix multiplication operations. Each operation is partitioned to processor cores based on data movement between L3 and L2 caches. The RNN is executed according to these schedules, and a final computation schedule is stored for future executions.

Career Highlights

Samyam Rajbhandari is currently employed at Microsoft Technology Licensing, LLC. His work at Microsoft has allowed him to explore innovative solutions in the realm of artificial intelligence and machine learning. His contributions have been instrumental in advancing the capabilities of deep learning technologies.

Collaborations

Samyam has collaborated with talented individuals such as Minjia Zhang and Wenhan Wang. These collaborations have fostered a creative environment that encourages the development of cutting-edge technologies.

Conclusion

Samyam Rajbhandari's work in deep learning model scheduling exemplifies the innovative spirit of modern inventors. His contributions to the field are paving the way for more efficient machine learning applications.