Raymond Sung

According to our database, Raymond Sung authored at least 4 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Efficient Hardware Acceleration of Emerging Neural Networks for Embedded Machine Learning: An Industry Perspective.

Arnab Raha, Raymond Sung, Soumendu Ghosh, Praveen Kumar Gupta, Deepak A. Mathaikutty, Umer I. Cheema, Kevin Hyland, Cormac Brick, Vijay Raghunathan

Proceedings of the Embedded Machine Learning for Cyber-Physical, 2024

2022

2.4GHz, Double-Buffered, 4kb Standard-Cell-Based Register File with Low-Power Mixed-Frequency Clocking for Machine Learning Accelerators.

Steven Hsu, Amit Agarwal, Mark A. Anders, Arnab Raha, Raymond Sung, Deepak Mathaikutty, Ram Krishnamurthy, James W. Tschanz, Vivek De

Proceedings of the IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits 2022), 2022

2021

Design Considerations for Edge Neural Network Accelerators: An Industry Perspective.

Arnab Raha, Sang Kyun Kim, Deepak Mathaikutty, Guruguhanathan Venkataramanan, Debabrata Mohapatra, Raymond Sung, Cormac Brick, Gautham N. Chinya

Proceedings of the 34th International Conference on VLSI Design and 20th International Conference on Embedded Systems, 2021

Special Session: Approximate TinyML Systems: Full System Approximations for Extreme Energy-Efficiency in Intelligent Edge Devices.

Arnab Raha, Soumendu Ghosh, Debabrata Mohapatra, Deepak A. Mathaikutty, Raymond Sung, Cormac Brick, Vijay Raghunathan

Proceedings of the 39th IEEE International Conference on Computer Design, 2021