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Browsing by Author "El Hajj, Izzat"

Browsing by Author "El Hajj, Izzat"

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  • Accelerating Genome Analysis using Processing-in-Memory 
    Diab, Safaa (5/16/2022)
    Data movement between memory and the CPU is a bottleneck in data-intensive applications. The cause of this problem is the need for the computing unit to access data frequently in memory through a limited-bandwidth and ...
  • Accelerating Knowledge Graph Relationship Queries on GPUs 
    Mahmoud, Jamil (2024-05-14)
    Large graphs and networks, referred to as semantic graphs, have become essential for discovering relationships between entities, objects, or concepts in modern-day applications across various fields such as medicine, ...
  • Algorithms for Atom Reconfiguration in Quantum Simulators 
    El Sabeh, Remy (8/22/2022)
    The reconfiguration framework is an emerging framework that concerns finding a step-by-step transformation between two feasible solutions of a problem such that the transformation steps preserve a feasible solution. The ...
  • A COMPILER FRAMEWORK FOR OPTIMIZING DYNAMIC PARALLELISM ON GPUS 
    Olabi, Mhd Ghaith (2021-02-08)
    Dynamic Parallelism on GPUs provides the means for the GPU to generate work for itself instead of relying on the CPU where a thread running on the GPU can also launch grids of threads that also run on the GPU. This ...
  • Exploring Processing-In-Memory Acceleration of Breath-First Search 
    Abdel Sater, Tarek (2/3/2021)
    In the traditional computer architecture, some applications suffer from the "memory wall" problem - workloads that exhibit dominant data movement costs and low data reuse would fully saturate the memory throughput of the ...
  • FACTFORMER: A TRANSFORMER BASED FACT CHECKER 
    Adesokan, Ademola (2023-09-07)
    Misinformation can undermine public trust and lead to misguided actions based on unreliable sources and fact-checking efforts. Traditional manual fact-checking systems suffer from several challenges, including issues ...
  • Infering Underlying Networks from Time Series of Dynamical Systems and Evaluating Global Balance 
    Badereddine, Ali (2024-05-14)
    A complex system’s emerging behavior is a result of the interactions of its components. A graph-theoretic representation of it is a network of interactions dictating through differential equations the evolution of the ...
  • Knowledge Graph Fact Checking using Deep Learning 
    Watfa, Assad (2021-08-12)
    In recent years, the use of knowledge graphs has become an essential part of information retrieval. These knowledge graphs are made up of billions of facts that are encoded in the form of RDF triples. They are automatically ...
  • On the Complexity of the Maximum Independent Set Reconfiguration Problem 
    Chebaro, Ezzat (2022-09-02)
    We study the complexity of the polynomially equivalent Minimum Vertex Cover Reconfiguration and Maximum Independent Set Reconfiguration problems on a variety of graph classes, which ask whether there exists a reconfiguration ...
  • Optimizing Sparse Matrix Multiplication for Sparse Deep Neural Networks on GPUs 
    El Masry, Bachir (5/11/2021)
    Deep Neural Networks (DNNs) require a huge amount of computational power and memory storage. Hence, sparsifying the neural network was proposed as a technique to help reduce the computational complexities of DNNs. However, ...
  • Predicting if Executing Applications are Near Completion 
    Sonji, Mohammad (2024-01-25)
    Predicting the running time of applications is essential for High-Performance Computing (HPC) job schedulers and resource managers. However, accurately estimating the execution time of previously unseen applications or ...
  • TIMELINEGPT: UTILIZING LLMS FOR AUTOMATIC TIMELINE GENERATION OF NEWS DATA 
    Tutunjian, Wanes (2024-02-05)
    This thesis introduces a novel approach for automatic timeline generation for news data, an essential task in Information Retrieval. Our work addresses the challenge of generating timelines and multilingual scalability ...

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