Mohannad Ibrahim

College of Engineering

Works (5)

Updated: April 11th, 2023 10:13

2022 article

Accelerating Encrypted Computing on Intel GPUs

2022 IEEE 36TH INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM (IPDPS 2022), pp. 705–716.

By: Y. Zhai *, M. Ibrahim n, Y. Qiu*, F. Boemer *, Z. Chen *, A. Titov*, A. Lyashevsky*

author keywords: Homomorphic Encryption; Number Theoretic Transform; Intel GPU; CKKS; Privacy-Preserving Computing
TL;DR: This paper presents the first-ever SYCL-based GPU backend for Microsoft SEAL APIs and performs optimizations from instruction level, algorithmic level and application level to accelerate the HE library based on the Cheon, Kim, Kim and Song (CKKS) scheme on Intel GPUs. (via Semantic Scholar)
Source: Web Of Science
Added: September 29, 2022

2022 journal article

Flexible homogeneous hydroformylation: on-demand tuning of aldehyde branching with a cyclic fluorophosphite ligand

JOURNAL OF CATALYSIS, 409, 105–117.

By: M. Ibrahim n, J. Bennett n, D. Mason*, J. Rodgers* & M. Abolhasani n 

author keywords: Flexible Catalysis; Hydroformylation; Flow Chemistry; Tunable Aldehyde Branching; Microreaction Engineering
Sources: Web Of Science, ORCID
Added: June 6, 2022

2021 article

Intensified recovery of switchable hydrophilicity solvents in flow

Han, S., Ibrahim, M. Y. S., & Abolhasani, M. (2021, September 29). CHEMICAL COMMUNICATIONS, Vol. 9.

By: S. Han n, M. Ibrahim n & M. Abolhasani n 

TL;DR: An integrated flow chemistry strategy using two membrane-based flow reactors to enhance the extraction and recovery rates of switchable hydrophilicity solvents (SHSs) by five times compared to batch reactors is presented. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: October 8, 2021

2021 article

QPR: Quantizing PageRank with Coherent Shared Memory Accelerators

2021 IEEE 35TH INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM (IPDPS), pp. 962–972.

By: A. Mughrabi n, M. Ibrahim n & G. Byrd n 

Contributors: A. Mughrabi n, M. Ibrahim n & G. Byrd n 

author keywords: Graphs; PageRank; CAPI; FPGA
TL;DR: This paper introduces a vertex-centric shared-memory accelerator for the PageRank algorithm, optimized for high performance while effectively using coherent caching on the FPGA hardware. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: June 30, 2021

2020 article

Application of Quantum Machine Learning to VLSI Placement

PROCEEDINGS OF THE 2020 ACM/IEEE 2ND WORKSHOP ON MACHINE LEARNING FOR CAD (MLCAD '20), pp. 61–66.

By: I. Turtletaub n, G. Li n, M. Ibrahim n & P. Franzon n 

author keywords: Quantum Machine Learning; Balanced Min-Cut; Variational Quantum Eigensolver; Recursive Partitioning Placement
TL;DR: The Variational Quantum Eigensolver (VQE) is used to formulate a recursive Balanced Min-Cut (BMC) algorithm, and it is suggested that quantum machine learning techniques can lower error rates and allow for faster convergence to an optimal solution. (via Semantic Scholar)
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Sources: Web Of Science, ORCID
Added: August 16, 2021

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