37 citations
- Hewlett Packard Enterprise (Ireland)IE6 papers
- Nanyang Technological UniversitySG5 papers
- Hewlett-Packard (United States)US3 papers
- Norwegian University of Science and TechnologyNO3 papers
- 1QBit2 papers
- Forschungszentrum JülichDE2 papers
- Georgia Institute of TechnologyUS2 papers
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- QLT (Canada)CA2 papers
- RWTH Aachen UniversityDE2 papers
- Save Ourselves Breast Cancer OrganizationUS2 papers
- University of California, BerkeleyUS2 papers
7 papers · 1 filter
Multi-Partner Project: Multi-GPU Performance Portability Analysis for CFD Simulations at Scale
Panagiotis-Eleftherios Eleftherakis, George Anagnostopoulos, Anastassis Kapetanakis +10
As heterogeneous supercomputing architectures leveraging GPUs become increasingly central to high-performance computing (HPC), it is crucial for computational fluid dynamics (CFD)…
Modeling the Potential of Message-Free Communication via CXL.mem
Stepan Vanecek, Matthew Turner, Manisha Gajbe +2
Heterogeneous memory technologies are increasingly important instruments in addressing the memory wall in HPC systems. While most are deployed in single node setups, CXL.mem is a t…
Testing and benchmarking emerging supercomputers via the MFC flow solver
Benjamin Wilfong, Anand Radhakrishnan, Henry A. Le Berre +3
Deploying new supercomputers requires testing and evaluation via application codes. Portable, user-friendly tools enable evaluation, and the Multicomponent Flow Code (MFC), a compu…
Characterizing and Optimizing LLM Inference Workloads on CPU-GPU Coupled Architectures
Prabhu Vellaisamy, Thomas Labonte, Sourav Chakraborty +3
Large language model (LLM)-based inference workloads increasingly dominate data center costs and resource utilization. Therefore, understanding the inference workload characteristi…
Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows
Rafael Ferreira da Silva, Deborah Bard, Kyle Chard +108
The Workflows Community Summit gathered 111 participants from 18 countries to discuss emerging trends and challenges in scientific workflows, focusing on six key areas: time-sensit…
Sustainability of Data Center Digital Twins with Reinforcement Learning
Soumyendu Sarkar, Avisek Naug, Antonio Guillen +4
The rapid growth of machine learning (ML) has led to an increased demand for computational power, resulting in larger data centers (DCs) and higher energy consumption. To address t…