Mustafa Fayez Ali
Orcid: 0000-0002-4452-6464Affiliations:
- Purdue University, School of Electrical and Computer Engineering, West Lafayette, IN, USA
- MTC, Cairo, Egypt
According to our database1,
Mustafa Fayez Ali
authored at least 20 papers
between 2016 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
2016
2017
2018
2019
2020
2021
2022
2023
0
5
10
1
2
2
7
1
1
1
3
1
1
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2023
A 65 nm 1.4-6.7 TOPS/W Adaptive-SNR Sparsity-Aware CIM Core with Load Balancing Support for DL workloads.
Proceedings of the IEEE Custom Integrated Circuits Conference, 2023
2022
IEEE Trans. Very Large Scale Integr. Syst., 2022
LNS-Madam: Low-Precision Training in Logarithmic Number System Using Multiplicative Weight Update.
IEEE Trans. Computers, 2022
2021
PIM-DRAM: Accelerating Machine Learning Workloads Using Processing in Commodity DRAM.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2021
IMPULSE: A 65nm Digital Compute-in-Memory Macro with Fused Weights and Membrane Potential for Spike-based Sequential Learning Tasks.
CoRR, 2021
Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021
2020
IEEE Trans. Circuits Syst., 2020
IEEE Trans. Circuits Syst. I Regul. Pap., 2020
IEEE Trans. Circuits Syst. I Regul. Pap., 2020
IEEE Trans. Circuits Syst. II Express Briefs, 2020
Resistive Crossbars as Approximate Hardware Building Blocks for Machine Learning: Opportunities and Challenges.
Proc. IEEE, 2020
Circuits and Architectures for In-Memory Computing-Based Machine Learning Accelerators.
IEEE Micro, 2020
CoRR, 2020
RAMANN: in-SRAM differentiable memory computations for memory-augmented neural networks.
Proceedings of the ISLPED '20: ACM/IEEE International Symposium on Low Power Electronics and Design, 2020
GENIEx: A Generalized Approach to Emulating Non-Ideality in Memristive Xbars using Neural Networks.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020
In-Memory Computing in Emerging Memory Technologies for Machine Learning: An Overview.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020
2019
Proceedings of the 2019 on Great Lakes Symposium on VLSI, 2019
2017
IET Circuits Devices Syst., 2017
2016
Proceedings of the 28th International Conference on Microelectronics, 2016