Lenovo Education’s Post

🌐✨ SC Conference Series some images from 📷Biagio Cosenza about yesterday's talk by 🗣️Kaijie Fan: 🔋 Energy-efficient computing uses power management techniques such as frequency scaling to save energy. Implementing energy-efficient techniques on large-scale computing systems is challenging for several reasons. While most modern architectures, including GPUs, are capable of frequency scaling, these features are often not available on large systems. 🔧In addition, achieving higher energy savings requires precise energy tuning because not only applications but also different kernels can have different energy characteristics. We propose SYnergy, a novel energy-efficient approach that spans languages, compilers, runtimes, and job schedulers to achieve unprecedented fine-grained energy savings on large-scale heterogeneous clusters. 💡SYnergy defines an extension to the SYCL programming model that allows programmers to define a specific energy goal for each kernel. For example, a kernel can aim to minimize well-known energy metrics such as EDP and ED2P or to achieve predefined energy-performance tradeoffs, such as the best performance with 25% energy savings. 📊Through compiler integration and a machine learning model, each kernel is statically optimized for the specific target. On large computing systems, a SLURM plug-in allows SYnergy to run on all available devices in the cluster, providing scalable energy savings. The methodology is inherently portable and has been evaluated on both NVIDIA and AMD GPUs. Experimental results show unprecedented improvements in energy and energy-related metrics on real-world applications, as well as scalable energy savings on a 64-GPU cluster. 🔗 Learn More: SYnergy: Fine-grained Energy-Efficient Heterogeneous Computing for Scalable Energy Saving Kaijie Fan, Marco D'Antonio, Lorenzo Carpentieri, Biagio Cosenza, Federico Ficarelli, Daniele Cesarini The paper https://lnkd.in/eKdGnJSq #SYnergy #EnergyEfficiency #ComputingRevolution #Innovation #SustainableTech #TechBreakthrough 🌐🔧 EuroHPC Joint Undertaking

NVIDIA cuQuantum and PennyLane are accelerating #quantum simulations at groundbreaking speeds on the Perlmutter #supercomputer at the National Energy Research Scientific Computing Center (NERSC). Find out how this collaboration is achieving its remarkable results on #supercomputing simulations for the first time at this scale.

How can novel algorithms be used and developed to take advantage of modern HPC systems? That's the focus of HPCSIM Frontiers of High-Performance Computing in Modeling and Simulation event in Padua next 14-15 September, organized by the Department of Civil, Environmental and Architectural Engineering of the Università degli Studi di Padova and M3E. Together with our partner NVIDIA, we will sponsor the event, that will also feature a speech by Filippo Spiga, EMEA HPC (CPU and GPU) Developer Relations and WW HPC ecosystem at NVIDIA, “Accelerate Time-to-Science using the NVIDIA platform” on Thursday 14 September. Learn more about the event here: https://lnkd.in/edRYPd6m #E4ComputerEngineering #HPCSIM #HPC

NVIDIA cuQuantum and PennyLane are accelerating #quantum simulations at groundbreaking speeds on the Perlmutter #supercomputer at the National Energy Research Scientific Computing Center (NERSC). Find out how this collaboration is achieving its remarkable results on #supercomputing simulations for the first time at this scale.

NVIDIA cuQuantum and PennyLane are accelerating #quantum simulations at groundbreaking speeds on the Perlmutter #supercomputer at the National Energy Research Scientific Computing Center (NERSC). Find out how this collaboration is achieving its remarkable results on #supercomputing simulations for the first time at this scale.

NVIDIA cuQuantum and PennyLane are accelerating #quantum simulations at groundbreaking speeds on the Perlmutter #supercomputer at the National Energy Research Scientific Computing Center (NERSC). Find out how this collaboration is achieving its remarkable results on #supercomputing simulations for the first time at this scale.

NVIDIA cuQuantum and PennyLane are accelerating #quantum simulations at groundbreaking speeds on the Perlmutter #supercomputer at the National Energy Research Scientific Computing Center (NERSC). Find out how this collaboration is achieving its remarkable results on #supercomputing simulations for the first time at this scale.

This initiative marks a pivotal shift in our educational paradigm, creating a rich soil for innovation to flourish. Exploratory fields like Generative AI, eXplanable AI, Conversational AI, GPT and its derivatives, Prompt Engineering, Langchain creation … are more than mere trendy buzzwords—they are critical components in the contemporary academic and technological toolkit. This development along with orchestration of ancient wisdom will significantly bolster our research prowess and equip our faculty and students with the tools to tackle real-world challenges head-on, utilizing state-of-the-art technology.

Fantastic resource to advance your AI research: call for applications to ARTEMISA AI & Machine Learning infrastructure at Institute of Corpuscular Physics (Universidad de Valencia + CSIC). Open to research groups based in Spain January 8th - February 4th Infrastructure Highlights: - 23 servers, each hosting an NVIDIA GPU Volta V100. - 11 servers equipped with the NVIDIA Ampere A100 GPU. - A dedicated server with 8 GPUs of the NVIDIA Ampere A100 model. - Servers are optimized for AI computing tasks. - Two user interfaces for software testing before batch processing. Detailed info here: https://lnkd.in/dvjA6ex3 #AIResearch #MachineLearning #Infrastructure #HPC (High-Performance Computing) #ComputationalScience #SpainTech #ResearchOpportunity

This is how you build a Supercomputer for computational science. Pegasus Supercomputer with 120 Compute Nodes of #Supermicro #Superblades with #Intel Sapphire Rapids and #NVIDIA #H100 GPUs for The Center for Computational Sciences at the University of Tsukuba, Japan. #NEC https://lnkd.in/djtJWU5m