Conor Byrne

Title: Conor Byrne - Innovator in Power Efficient Memory Solutions

Introduction

Conor Byrne is a notable inventor based in Dublin, Ireland. He has made significant contributions to the field of deep neural networks through his innovative patent. His work focuses on enhancing the efficiency of memory systems used in advanced computing technologies.

Latest Patents

Conor Byrne holds a patent for "Power efficient register files for deep neural network (DNN) accelerator." This invention involves a memory array of a compute tile that can store activations or weights of a DNN. The memory array includes databanks for storing contexts, context MUXs, and byte MUXs. A databank can store a context with flip-flop arrays, each containing a sequence of flip-flops. A logic gate and an ICG unit control the flip-flops, ensuring that only selected contexts are active, thereby preventing unnecessary power consumption. The context MUX reads from different flip-flop arrays based on gray-coded addresses, while the byte MUX combines bits from various bytes in a context read by the context MUX. This design minimizes the distance between the context MUX and byte MUX, reducing the lengths of wires connecting them.

Career Highlights

Conor Byrne is currently employed at Intel Corporation, where he continues to work on cutting-edge technologies. His expertise in memory systems and deep learning applications has positioned him as a valuable asset in the tech industry.

Collaborations

Conor collaborates with talented individuals such as Deepak A Mathaikutty and Arnab Raha. Their combined efforts contribute to the advancement of innovative solutions in the field of computing.

Conclusion

Conor Byrne's contributions to power-efficient memory solutions for deep neural networks highlight his role as an influential inventor in the tech industry. His patent reflects a commitment to innovation and efficiency in computing technologies.