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Author: giordano

index.html

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-</style><div class="news-container"><div class="news-block" style="width:262px;margin:-5px;"><a href="/news/2022/07/dagger_julius_benchmark/">Comments on the Julius Graph Engine Benchmark</a> 2022-07-01<br><p>Spurred by a performance benchmark published by Julius Technologies, we lead you through how Dagger's scheduler was optimized to perform more competitively on the benchmark.</p>Julian Samaroo<img src="/assets/green-philip.png"/></div></div>
+</style><div class="news-container"><div class="news-block" style="width:259px;margin:-5px;"><a href="/news/2022/07/dagger_julius_benchmark/">Comments on the Julius Graph Engine Benchmark</a> 2022-07-01<br><p>Spurred by a performance benchmark published by Julius Technologies, we lead you through how Dagger's scheduler was optimized to perform more competitively on the benchmark.</p>Julian Samaroo<img src="/assets/green-philip.png"/></div></div>
 
 
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news/index.html

@@ -54,7 +54,7 @@
         padding-right: 0%;
      }
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-</style><div class="news-container"><div class="news-block" style="width:284px;margin:-5px;"><a href="/news/2022/07/dagger_julius_benchmark/">Comments on the Julius Graph Engine Benchmark</a> 2022-07-01<br><p>Spurred by a performance benchmark published by Julius Technologies, we lead you through how Dagger's scheduler was optimized to perform more competitively on the benchmark.</p>Julian Samaroo<img src="/assets/green-philip.png"/></div></div>
+</style><div class="news-container"><div class="news-block" style="width:280px;margin:-5px;"><a href="/news/2022/07/dagger_julius_benchmark/">Comments on the Julius Graph Engine Benchmark</a> 2022-07-01<br><p>Spurred by a performance benchmark published by Julius Technologies, we lead you through how Dagger's scheduler was optimized to perform more competitively on the benchmark.</p>Julian Samaroo<img src="/assets/green-philip.png"/></div></div>
 
 
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resources/index.html

@@ -53,6 +53,9 @@ <h1 id="resources" ><a href="#resources"> Resources</a></h1><p>All you wanted to
 with the relevant information to help ensure that this overview is as
 comprehensive as possible.</p>
 <h2 id="workshops" ><a href="#workshops"> Workshops</a></h2><p>Workshops about performance engineering, GPU programming and general use of Julia in HPC:</p>
+<h3 id="2025" ><a href="#2025"> 2025</a></h3><ul>
+<li><a href="https://events.hifis.net/event/1741/contributions/13973/">Performance portability and high-performance computing with Julia</a> @ deRSE25 (<a href="https://github.com/JuliaHPC/deRSE25-workshop">material</a>), by Mosè Giordano, Valentin Churavy. February 27th 2025.</li>
+</ul>
 <h3 id="2024" ><a href="#2024"> 2024</a></h3><ul>
 <li><a href="https://sc24.conference-program.com/presentation/?id=tut130&sess=sess433">The Julia Language for Productive High-Performance Computing Tutorial @ SC24</a>, by William Godoy, Johannes Blaschke, Rabab Alomairy, Mosè Giordano, Julian Samaroo, Pedro Valero-Lara (<a href="https://github.com/JuliaParallel/julia-hpc-tutorial-sc24">tutorial material</a>). November 17th 2024.</li>
 <li><a href="https://ornl.github.io/events/jufos2024/">The Second Julia for ORNL Science Workshop</a>, by W F Godoy, P Valero-Lara, H Mankad, S E Hahn, K Teranishi, J S Vetter, R Ferreira da Silva, C Thomas. June 20th 2024.</li>
@@ -113,8 +116,8 @@ <h3 id="2020_and_older" ><a href="#2020_and_older"> 2020 and older</a></h3><ul>
   Nättilä. April 17th-19th, 2019.</li>
 </ul>
 <h2 id="papers" ><a href="#papers"> Papers</a></h2><p>Some of the papers using Julia in HPC, including the JuliaParallel software stack:</p>
-<h3 id="2025" ><a href="#2025"> 2025</a></h3><ul>
-<li>Briand L, Jourdren H, Pérache M. Julia versus C++ Kokkos for performance portable Cartesian CFD solvers on heterogeneous architectures. The International Journal of High Performance Computing Applications. 2025;0(0). <a href="https://doi.org/10.1177/10943420251341179">doi:10.1177/10943420251341179</a></li>
+<h3 id="2025__2" ><a href="#2025__2"> 2025</a></h3><ul>
+<li>L. Briand, H. Jourdren, M. Pérache. <strong>Julia versus C++ Kokkos for performance portable Cartesian CFD solvers on heterogeneous architectures</strong>. The International Journal of High Performance Computing Applications. 2025;0(0). <a href="https://doi.org/10.1177/10943420251341179">doi:10.1177/10943420251341179</a></li>
 </ul>
 <h3 id="2024__2" ><a href="#2024__2"> 2024</a></h3><ul>
 <li>P. Valero-Lara, W.F. Godoy, H. Mankad, K. Teranishi, J.S. Vetter, J. Blaschke, J. Schanen, M., 2024, November. <strong>JACC: Leveraging HPC Meta-Programming and Performance Portability with the Just-in-Time and LLVM-based Julia Language.</strong> In SC24-W: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis (pp. 1955-1966). IEEE.