From 36c8874ff257396ede0dca7be97a5e0075421719 Mon Sep 17 00:00:00 2001 From: io Date: Tue, 28 May 2024 17:53:49 +0200 Subject: [PATCH] invited --- _2024/05.program.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/_2024/05.program.md b/_2024/05.program.md index 145b22d..6b324e9 100644 --- a/_2024/05.program.md +++ b/_2024/05.program.md @@ -20,7 +20,7 @@ All times are Central European Time (CET). | 9:30 AM - 10:30 AM | **Invited talk** | | Title: Energy-Efficient Computing across the Software Stack | | *Speaker: [Biagio Cosenza](https://www.cosenza.eu/) - University of Salerno - Dipartimento di Informatica* -| | Energy efficient computing is a major challenge for exascale computing. Power constraints, rising electricity costs, and the diminishing efficiency benefits of Moore's Law have exacerbated this challenge and increased the need for energy-efficient technologies. This talk will present state-of-the-art software approaches aimed at minimizing the energy consumption of HPC applications. We will discuss some common misconceptions about energy optimization and provide insights into understanding when optimizing for energy differs from optimizing for performance. We will see how different approaches in HPC can target energy optimization from different perspectives, such as job schedulers, compilers, and operating systems. Finally, we will see how recent research is targeting solutions that go beyond the stack with approaches such as SYnergy [SC23], which includes programming models, compilers, runtime, and job schedulers, while also addressing heterogeneous computing systems. +| | *Abstract: Energy efficient computing is a major challenge for exascale computing. Power constraints, rising electricity costs, and the diminishing efficiency benefits of Moore's Law have exacerbated this challenge and increased the need for energy-efficient technologies. This talk will present state-of-the-art software approaches aimed at minimizing the energy consumption of HPC applications. We will discuss some common misconceptions about energy optimization and provide insights into understanding when optimizing for energy differs from optimizing for performance. We will see how different approaches in HPC can target energy optimization from different perspectives, such as job schedulers, compilers, and operating systems. Finally, we will see how recent research is targeting solutions that go beyond the stack with approaches such as SYnergy [SC23], which includes programming models, compilers, runtime, and job schedulers, while also addressing heterogeneous computing systems.* | | | 10:30 AM - 11:00 AM | **Coffe Break** | |