Sara Almalih

Title: Sara Almalih: Innovator in Neural Network Workloads

Introduction

Sara Almalih is a prominent inventor based in Scottsdale, AZ (US). She has made significant contributions to the field of neural networks through her innovative patent. Her work focuses on improving the efficiency of data processing in neural network workloads.

Latest Patents

Sara holds a patent titled "Methods and apparatus for dynamic batching of data for neural network workloads." This patent describes examples to determine a dynamic batch size of a layer. The apparatus includes a layer operations controller that determines a layer ratio between the number of operations of a layer and the weights of the layer. Additionally, a comparator is used to compare the layer ratio to the number of operations per unit of memory size performed by a computation engine. When the layer ratio is less than the number of operations per unit of memory size, a batch size determination controller is employed to determine the dynamic batch size of the layer. This innovation is crucial for optimizing neural network performance.

Career Highlights

Sara is currently employed at Intel Corporation, where she continues to develop cutting-edge technologies. Her work at Intel has positioned her as a key player in the advancement of neural network applications.

Collaborations

Sara collaborates with talented individuals such as Eric Luk and Mohamed Elmalaki, contributing to a dynamic and innovative work environment.

Conclusion

Sara Almalih's contributions to the field of neural networks through her patent demonstrate her commitment to innovation and excellence. Her work at Intel Corporation and collaborations with esteemed colleagues further highlight her impact in the technology sector.