Aniket Shivam

Title: Aniket Shivam: Innovator in Matrix Computations

Introduction

Aniket Shivam is a notable inventor based in Santa Clara, CA. He has made significant contributions to the field of matrix computations, particularly in the context of data pattern processing using tensor cores. His innovative approach has the potential to enhance the efficiency of matrix multiplication operations.

Latest Patents

Aniket Shivam holds a patent for "Non-rectangular matrix computations and data pattern processing using tensor cores." This patent describes a method where matrix multiplication operations can be implemented on tensor cores of a parallel processing unit. The efficiency of these operations can be improved when one of the input operands or the output operand is a square matrix with a triangular data pattern. By dropping computations or masking out elements of the square matrix input operand on one side of the main diagonal, the number of computations performed can be significantly reduced. Additionally, the patent provides a library that implements these matrix multiplication operations.

Career Highlights

Aniket Shivam is currently employed at Nvidia Corporation, a leading company in the field of graphics processing and computing technology. His work at Nvidia focuses on advancing computational techniques that leverage the power of parallel processing units.

Collaborations

Aniket has collaborated with several talented individuals, including Andrew Kerr and Haicheng Wu. These collaborations have contributed to the development of innovative solutions in the realm of matrix computations.

Conclusion

Aniket Shivam's contributions to matrix computations and data processing exemplify the spirit of innovation in technology. His patent and work at Nvidia Corporation highlight his commitment to enhancing computational efficiency.