​Ho, Nhut-Minh, Duy-Thanh Nguyen, John L Gustafson, and Weng-Fai Wong. 2023. “Bedot: Bit Efficient Dot Product for Deep Generative Models.” In Next Generation Arithmetic, edited by John Gustafson, Siew Hoon Leong, and Marek Michalewicz, 19–37. Cham: Springer Nature Switzerland. 

Conference paper.

H. De Silva, H. Tan, N. Ho, J. Gustafson, and W. Wong, “Towards a Better 16-Bit Number Representation for Training Neural Networks,” Conference on Next-Generation Arithmetic 2023 (CoNGA), March 2023, pp. 114–133.

Conference paper.

​Gustafson, John L, Marco Cococcioni, Federico Rossi, Emanuele Ruffaldi, and Sergio Saponara. 2023. “Decoding-Free Two-Input Arithmetic for Low-Precision Real Numbers.” In Next Generation Arithmetic, edited by John Gustafson, Siew Hoon Leong, and Marek Michalewicz, 61–76. Cham: Springer Nature Switzerland. 

Conference paper.

​Devi, Archana, Gil Speyer, and Michael Lynch. 2023. “The Divergence of Mean Phenotypes under Persistent Directional Selection.” GENETICS 224 (3).

https://doi.org/10.1093/genetics/iyad091.

Journal article.

​Ho, Nhut-Minh, Duy-Thanh Nguyen, John L Gustafson, and Weng-Fai Wong. 2023. “Bedot: Bit Efficient Dot Product for Deep Generative Models.” In Next Generation Arithmetic, edited by John Gustafson, Siew Hoon Leong, and Marek Michalewicz, 19–37. Cham: Springer Nature Switzerland. 

Conference paper.

​Leong, Siew Hoon, and John L Gustafson. 2023. “Lossless FFTs Using Posit Arithmetic.” In Next Generation Arithmetic, edited by John Gustafson, Siew Hoon Leong, and Marek Michalewicz, 1–18. Cham: Springer Nature Switzerland. 

https://doi.org/10.1007/978-3-031-32180-1_1.

Conference paper.

Ramachandran, Akshat, John Gustafson, Anusua Roy, Rizwan Ahmed Ansari, and Rohin Daruwala. 2022. “PositIV:A Configurable Posit Processor Architecture for Image and Video Processing.” In 2022 25th Euromicro Conference on Digital System Design (DSD), 93–100. IEEE.

https://doi.org/10.1109/DSD57027.2022.00022.

Conference paper.