Salma Afifi

According to our database, Salma Afifi authored at least 9 papers between 2023 and 2025.

Collaborative distances:

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

2025

STAR: A Mixed Analog Stochastic In-DRAM Convolutional Neural Network Accelerator.

Salma Afifi, Ishan G. Thakkar, Sudeep Pasricha

IEEE Des. Test, February, 2025

PhotoGAN: Generative Adversarial Neural Network Acceleration with Silicon Photonics.

Tharini Suresh, Salma Afifi, Sudeep Pasricha

Proceedings of the 26th International Symposium on Quality Electronic Design, 2025

A Light-Speed Large Language Model Accelerator with Optical Stochastic Computing.

Salma Afifi, Oluwaseun Alo, Ishan G. Thakkar, Sudeep Pasricha

Proceedings of the Great Lakes Symposium on VLSI 2025, GLSVLSI 2025, New Orleans, LA, USA, 30 June 2025, 2025

SafeLight: Enhancing Security in Optical Convolutional Neural Network Accelerators.

Salma Afifi, Ishan G. Thakkar, Sudeep Pasricha

Proceedings of the Design, Automation & Test in Europe Conference, 2025

2024

ARTEMIS: A Mixed Analog-Stochastic In-DRAM Accelerator for Transformer Neural Networks.

Salma Afifi, Ishan G. Thakkar, Sudeep Pasricha

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., November, 2024

Shedding Light on LLMs: Harnessing Photonic Neural Networks for Accelerating LLMs.

Mahdi Nikdast, Salma Afifi, Sudeep Pasricha

Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 2024

Accelerating Neural Networks for Large Language Models and Graph Processing with Silicon Photonics.

Salma Afifi, Febin Sunny, Mahdi Nikdast, Sudeep Pasricha

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

2023

GHOST: A Graph Neural Network Accelerator using Silicon Photonics.

Salma Afifi, Febin Sunny, Amin Shafiee, Mahdi Nikdast, Sudeep Pasricha

ACM Trans. Embed. Comput. Syst., October, 2023

TRON: Transformer Neural Network Acceleration with Non-Coherent Silicon Photonics.

Salma Afifi, Febin Sunny, Mahdi Nikdast, Sudeep Pasricha

Proceedings of the Great Lakes Symposium on VLSI 2023, 2023