Ahmad Albaqsami

According to our database, Ahmad Albaqsami authored at least 7 papers between 2018 and 2020.

Collaborative distances:

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

2020

Adaptive HTF-MPR: An Adaptive Heterogeneous TensorFlow Mapper Utilizing Bayesian Optimization and Genetic Algorithms.

Ahmad Albaqsami, Maryam S. Hosseini, Masoomeh Jasemi, Nader Bagherzadeh

ACM Trans. Intell. Syst. Technol., 2020

Partition Pruning: Parallelization-Aware Pruning for Dense Neural Networks.

Sina Shahhosseini, Ahmad Albaqsami, Masoomeh Jasemi, Nader Bagherzadeh

Proceedings of the 28th Euromicro International Conference on Parallel, 2020

2019

Deep Learning Performance Optimization via Model Parallelization.

Ahmad Albaqsami

PhD thesis, 2019

Partition Pruning: Parallelization-Aware Pruning for Deep Neural Networks.

Sina Shahhosseini, Ahmad Albaqsami, Masoomeh Jasemi, Shaahin Hessabi, Nader Bagherzadeh

CoRR, 2019

2018

STABLE: Stress-Aware Boolean Matching to Mitigate BTI-Induced SNM Reduction in SRAM-Based FPGAs.

Zana Ghaderi, Nader Bagherzadeh, Ahmad Albaqsami

IEEE Trans. Computers, 2018

Maintaining the Design Intent in the Synthesis of 3-D and 1-D System Models Using Constraints.

Arquimedes Canedo, Zhi Zhang, Ahmad Albaqsami, Jiang Wan, Mohammad Abdullah Al Faruque

IEEE Syst. J., 2018

HTF-MPR: A heterogeneous TensorFlow mapper targeting performance using genetic algorithms and gradient boosting regressors.

Ahmad Albaqsami, Maryam S. Hosseini, Nader Bagherzadeh

Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018