Xiaodan Tan is an accomplished inventor based in Mountain View, CA (US). She has made significant contributions to the field of tensor operations and computing. With a total of 6 patents to her name, her work has garnered attention in the tech industry.

Latest Patents

One of her latest patents is titled "Throughput increase for tensor operations." This technique involves inputting concatenated data words from two input tensors into a compute channel with multiple compute stages. The process allows for the conversion of data elements from one datatype to another, enabling efficient binary operations on the data elements. The output data elements are then generated and outputted from the compute channel.

Another notable patent is "Programmable compute engine having transpose operations." This innovation focuses on executing transpose and compute operations by retrieving machine instructions from an instruction buffer. The technique allows for the transposition of a submatrix of an input tensor while performing computations on its column elements, effectively combining these operations into a single machine instruction.

Career Highlights

Xiaodan Tan is currently employed at Amazon Technologies, Inc., where she continues to push the boundaries of technology through her innovative work. Her expertise in tensor operations has positioned her as a key player in her field.

Collaborations

Throughout her career, Xiaodan has collaborated with notable colleagues, including Paul Gilbert Meyer and Ron Diamant. These partnerships have further enhanced her contributions to the field of computing.

Conclusion

Xiaodan Tan's innovative patents and her role at Amazon Technologies, Inc. highlight her significant impact on the technology landscape. Her work in tensor operations continues to pave the way for advancements in computing.