Khailany, Brucek

Softermax: Hardware/Software Co-Design of an Efficient Softmax for Transformers

Stevens, J. R., Venkatesan, R., Dai, S., Khailany, B., & Raghunathan, A. (2021) · 2021 58th ACM/IEEE Design Automation Conference (DAC)

Advanced Neural Network ApplicationsParallel Computing and Optimization Techniques

Cited by 148

A 0.32–128 TOPS, Scalable Multi-Chip-Module-Based Deep Neural Network Inference Accelerator With Ground-Referenced Signaling in 16 nm

Zimmer, B., Venkatesan, R., Shao, Y. S., Clemons, J., Fojtik, M., Jiang, N., Keller, B., Klinefelter, A., Pinckney, N., Raina, P., et al. (2020) · IEEE Journal of Solid-State Circuits

Advanced Neural Network ApplicationsInterconnection Networks and Systems

Cited by 122

Analog/Mixed-Signal Hardware Error Modeling for Deep Learning Inference

Rekhi, A. S., Zimmer, B., Nedovic, N., Liu, N., Venkatesan, R., Wang, M., Khailany, B., Dally, W. J., & Gray, C. T. (2019) · Proceedings of the 56th Annual Design Automation Conference 2019

Advanced Memory and Neural ComputingLow-power high-performance VLSI design

Cited by 67

AutoDMP: Automated DREAMPlace-based Macro Placement

Agnesina, A., Rajvanshi, P., Yang, T., Pradipta, G., Jiao, A., Keller, B., Khailany, B., & Ren, H. (2023) · Proceedings of the 2023 International Symposium on Physical Design

VLSI and FPGA Design TechniquesLow-power high-performance VLSI design

Cited by 52