Marjan Fariborz

Orcid: 0000-0002-1896-1489

According to our database1, Marjan Fariborz authored at least 14 papers between 2014 and 2024.

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Bibliography

2024
TEGRA - Scaling Up Terascale Graph Processing with Disaggregated Computing.
CoRR, 2024

2023
Hardware Architectures for Scalable Graph Processing
PhD thesis, 2023

Scalable Hardware Acceleration of Graph Processing with Photonic Interconnects.
Proceedings of the International Conference on Photonics in Switching and Computing, 2023

2022
A Model for Scalable and Balanced Accelerators for Graph Processing.
IEEE Comput. Archit. Lett., 2022

LLM: Realizing Low-Latency Memory by Exploiting Embedded Silicon Photonics for Irregular Workloads.
Proceedings of the High Performance Computing - 37th International Conference, 2022

High Throughput Memory with Silicon Photonics in Chiplet-based Architectures for Irregular Workloads.
Proceedings of the 2022 27th OptoElectronics and Communications Conference (OECC) and 2022 International Conference on Photonics in Switching and Computing (PSC), 2022

2021
Machine-learning-aided cognitive reconfiguration for flexible-bandwidth HPC and data center networks [Invited].
JOCN, 2021

HTA: A Scalable High-Throughput Accelerator for Irregular HPC Workloads.
Proceedings of the High Performance Computing - 36th International Conference, 2021

Enabling Reproducible and Agile Full-System Simulation.
Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2021

2020
Flex-LIONS: A Silicon Photonic Bandwidth-Reconfigurable Optical Switch Fabric.
IEICE Trans. Commun., 2020

The gem5 Simulator: Version 20.0+.
CoRR, 2020

Architecture and performance studies of 3D-Hyper-FleX-LION for reconfigurable all-to-all HPC networks.
Proceedings of the International Conference for High Performance Computing, 2020

2019
3D photonics as enabling technology for deep 3D DRAM stacking.
Proceedings of the International Symposium on Memory Systems, 2019

2014
Handwritten objects recognition using Regularized Logistic Regression and feedforward Neural Networks.
Proceedings of the Global Summit on Computer & Information Technology, 2014


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