Uniconn Publication Added

Author: hanZaq25

docs/assets/preprint-pdfs/Cluster_2025_______uniconn_paper__ieee_.pdf

@@ -589,12 +589,16 @@ BeyondMoore Software Ecosystem
     <div clas="flex flex-col justify-start">
      <div class="flex flex-row gap-2 justify-start items-center flex-shrink">
     <img width="32" src="./assets/git.webp" />
-    <a href="https://github.com/ParCoreLab/" class="text-xl font-semibold font-sans visited:text-teal-700">Unified Communication Library</a>
+    <a href="https://github.com/ParCoreLab/Uniconn" class="text-xl font-semibold font-sans visited:text-teal-700">Unified Communication Library</a>
     </div>
     <p class="text-lg">We're undertaking the design of an API for a unified communication library to streamline device-to-device communication within the CPU-free model by aiming to optimize communication efficiency across diverse devices. We are also investigating how the available communication libraries for a system perform under different
 message sizes and communication patterns. Thus, we ex-
 tensively benchmark current communication methods for
 single-process, multi-threaded, and multi-process codes. More details about the project will be available soon. The related paper is under preparation.</p>
+  
+  <p>
+    All the artifacts and benchmarks can be found <a href="https://github.com/ParCoreLab/Uniconn" class="text-xl font-semibold font-sans visited:text-teal-700">here.</a>
+    </p>
     </div>
     <div class="grid h-auto justify-center place-items-center">
     <img width="400px" src="./assets/network-topo.png" />
@@ -628,8 +632,6 @@ single-process, multi-threaded, and multi-process codes. More details about the
     synchronously tracks task dependencies. By accepting computational graphs as input, originally designed for single
     GPUs, it seamlessly scales to multiple GPUs without necessitating code modifications. <cr/> More details about the
     project will be available soon. The related paper is under review. </p>
-
-  <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>
     </div>
     <div class="grid h-[100%] justify-center place-items-center">
     <img width="400px" src="./assets/task-graph-Ilyas.png" />
@@ -663,9 +665,16 @@ Publications
 <hr />
 
 <div class="grid">
+
+<div class="card text-lg"> Doǧan Sağbili, Sinan Ekmekçibaşı, Khaled Z. Ibrahim, Tan Nguyen, Didem Unat (2025) UNICONN: A Uniform High-Level Communication
+Library for Portable Multi-GPU Programming
+ <a href="https://docs.google.com/presentation/d/1Tw4Yl8SLUjSDQwgHEITXthKg_KbjhVUZ3b9he2QTlj4/edit?usp=sharing">(presentation)</a>. In Cluster ’25: Proceedings of the IEEE International Conference on Cluster Computing (IEEE Cluster 2025). <a class="italic" download href="./assets/preprint-pdfs/Cluster_2025_______uniconn_paper__ieee_.pdf">preprint pdf</a>
+</div> 
+
 <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
 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>
 </div> 
+
 <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:
 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>
 </div>