Hwu, Wen-mei W.

PUMA: A Programmable Ultra-efficient Memristor-based Accelerator for Machine Learning Inference

Ankit, A., Hajj, I. E., Chalamalasetti, S. R., Ndu, G., Foltin, M., Williams, R. S., Faraboschi, P., Hwu, W.-M. W., Strachan, J. P., Roy, K., et al. (2019) · Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems

Advanced Memory and Neural ComputingParallel Computing and Optimization Techniques

Cited by 424

Program optimization carving for GPU computing

Ryoo, S., Rodrigues, C. I., Stone, S. S., Stratton, J. A., Ueng, S.-Z., Baghsorkhi, S. S., & Hwu, W.-M. W. (2008) · Journal of Parallel and Distributed Computing

Parallel Computing and Optimization TechniquesComputer Graphics and Visualization Techniques

Cited by 126

More IMPATIENT: A gridding-accelerated Toeplitz-based strategy for non-Cartesian high-resolution 3D MRI on GPUs

Gai, J., Obeid, N., Holtrop, J. L., Wu, X.-L., Lam, F., Fu, M., Haldar, J. P., Hwu, W.-M. W., Liang, Z.-P., & Sutton, B. P. (2013) · Journal of Parallel and Distributed Computing

Advanced MRI Techniques and ApplicationsParallel Computing and Optimization Techniques

Cited by 43

ANUBIS: Hybrid FPAA-FPGA Architecture for Entropy-Based True Random Number Generation in Secure UAV Communication

El-Hadedy, M., Abelian, A., Lee, K., Cheng, B. N., & Hwu, W.-M. (2025) · IEEE Embedded Systems Letters

Physical Unclonable Functions (PUFs) and Hardware SecurityCryptographic Implementations and Security

Cited by 7