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docs/index.md

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<p class="grid-colspan-3">
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<b>Master Student:</b> Hanaa Zaqout (hzaqout25@ku.edu.tr)
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<b>Research Focus:</b> ?
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<b>Research Focus:</b> Race detection and developer tools
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</p>
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<div class="card grid grid-cols-4 justify-center items-center">
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<img class="shadow rounded-full max-w-full h-auto align-middle border-none" src="./team-images/placeholder.jpg" width="100px" />
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<img class="shadow rounded-full max-w-full h-auto align-middle border-none" src="./team-images/emre.jpeg" width="100px" />
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<p class="grid-colspan-3">
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<b>Master Student:</b> Emre (@ku.edu.tr)
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<b>Master Student:</b> Emre Düzakın (eduzakin18@ku.edu.tr)
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<b>Research Focus:</b> ?
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<b>Research Focus:</b> LLM Based Multi Agent Systems
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</p>
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synchronously tracks task dependencies. By accepting computational graphs as input, originally designed for single
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GPUs, it seamlessly scales to multiple GPUs without necessitating code modifications. <cr/> More details about the
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project will be available soon. The related paper is under review. </p>
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<p> All the artifacts and benchmarks can be found <a href="ADDLink" class="text-xl font-semibold font-sans visited:text-teal-700">here.</a> </p>
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<img width="400px" src="./assets/task-graph-Ilyas.png" />
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<div class="card text-lg"> Ilyas Turimbetov, Mohamed Wahib, Didem Unat (2025) <a href="https://dl.acm.org/doi/10.1145/3721145.3730426">A Device-Side Execution Model for Multi-GPU Task
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Graphs</a> <a href="https://docs.google.com/presentation/d/1po87zQeUQb5l12AXB5RMSuod-o8yPZw32kEBtczr-v0/edit?usp=sharing">(presentation)</a>. In ICS ’25: Proceedings of the 39th ACM International Conference on Supercomputing. <a class="italic" download href="./assets/preprint-pdfs/ICS25______CPU_free_Task_Graph_Execution.pdf">preprint pdf</a>
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</div>
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<div class="card text-lg"> Javid Baydamirli, Tal Ben Nun, Didem Unat (2024) <a href="https://sc24.supercomputing.org/proceedings/workshops/workshop_pages/ws_p3hpc108.html">Autonomous Execution for Multi-GPU Systems:
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Compiler Support</a> <a href="https://sc24.conference-program.com/presentation/?id=ws_p3hpc108&sess=sess751">(presentation)</a>. In the 2024 International Workshop on Performance, Portability, and Productivity in HPC. <a class="italic" download href="./assets/preprint-pdfs/sc24-workshop-autonomous-execution-for-multi-gpu-systems-compiler-support.pdf">preprint pdf</a>
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</div>

docs/team-images/emre.jpeg

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observablehq.config.ts

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<span style="display: flex; align-items: baseline; gap: 1.0rem">
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<a href="#ABSTRACT"><h4><span>Abstract</span></h4></a>
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<a href="#TEAM"><h4><span>Team</span></h4></a>
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<a href="#ALUMNI"><h4><span>Alumni</span></h4></a>
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<a href="#PROJECTS"><h4><span>Projects</span></h4></a>
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<a href="#PUBLICATIONS"><h4><span>Publications</span></h4></a>
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</span>

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