Hamza Errahmouni Barkam

Orcid: 0000-0002-0500-4647

According to our database1, Hamza Errahmouni Barkam authored at least 14 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
In-Memory Acceleration of Hyperdimensional Genome Matching on Unreliable Emerging Technologies.
IEEE Trans. Circuits Syst. I Regul. Pap., April, 2024

HyperSense: Accelerating Hyper-Dimensional Computing for Intelligent Sensor Data Processing.
CoRR, 2024

A FeFET-based Time-Domain Associative Memory for Multi-bit Similarity Computation.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

2023
Modeling and Predicting Transistor Aging Under Workload Dependency Using Machine Learning.
IEEE Trans. Circuits Syst. I Regul. Pap., September, 2023

Towards Efficient Hyperdimensional Computing Using Photonics.
CoRR, 2023

Hardware-Optimized Hyperdimensional Computing for Real-Time Learning.
Proceedings of the 66th IEEE International Midwest Symposium on Circuits and Systems, 2023

Reliable Hyperdimensional Reasoning on Unreliable Emerging Technologies.
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

Invited Paper: Hyperdimensional Computing for Resilient Edge Learning.
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

HyperGRAF: Hyperdimensional Graph-Based Reasoning Acceleration on FPGA.
Proceedings of the 33rd International Conference on Field-Programmable Logic and Applications, 2023

HDGIM: Hyperdimensional Genome Sequence Matching on Unreliable highly scaled FeFET.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

Comprehensive Analysis of Hyperdimensional Computing Against Gradient Based Attacks.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

Hyperdimensional Computing for Robust and Efficient Unsupervised Learning.
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022
Testing Machine Learning Models to Identify Computer Science Students at High-risk of Probation.
Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022

Brain-Inspired Hyperdimensional Computing for Ultra-Efficient Edge AI.
Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis, 2022


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