Zobrazeno 1 - 10
of 11 650
pro vyhledávání: '"P. Ivy"'
Autor:
Huang, Qifeng, Wang, Jing, Lin, Xuchen, Oh, Se-Heon, Chen, Xinkai, Catinella, Barbara, Deg, Nathan, Dénes, Helga, For, Bi-Qing, Koribalski, Baerbel, Lee-Waddell, Karen, Rhee, Jonghwan, Shen, Austin, Shao, Li, Spekkens, Kristine, Staveley-Smith, Lister, Westmeier, Tobias, Wong, O. Ivy, Bosma, Albert
Galaxy interactions can significantly affect the star formation in galaxies, but it remains a challenge to achieve a consensus on the star formation rate (SFR) enhancement in galaxy pairs. Here, we investigate the SFR enhancement of gas-rich galaxy p
Externí odkaz:
http://arxiv.org/abs/2410.22406
Autor:
Schieffer, Gabin, Peng, Ivy
In drug discovery, molecular docking aims at characterizing the binding of a drug-like molecule to a macromolecule. AutoDock-GPU, a state-of-the-art docking software, estimates the geometrical conformation of a docked ligand-protein complex by minimi
Externí odkaz:
http://arxiv.org/abs/2410.10447
Autor:
Peng, Ivy, Schulz, Martin, Haus, Utz-Uwe, Prunty, Craig, Marcuello, Pedro, Danovaro, Emanuele, Schieffer, Gabin, Wahlgren, Jacob, Medeiros, Daniel, Friese, Philipp, Markidis, Stefano
OpenCUBE aims to develop an open-source full software stack for Cloud computing blueprint deployed on EPI hardware, adaptable to emerging workloads across the computing continuum. OpenCUBE prioritizes energy awareness and utilizes open APIs, Open Sou
Externí odkaz:
http://arxiv.org/abs/2410.10423
The conventional model of resource allocation in HPC systems is static. Thus, a job cannot leverage newly available resources in the system or release underutilized resources during the execution. In this paper, we present Kub, a methodology that ena
Externí odkaz:
http://arxiv.org/abs/2410.10655
Complex workflows play a critical role in accelerating scientific discovery. In many scientific domains, efficient workflow management can lead to faster scientific output and broader user groups. Workflows that can leverage resources across the boun
Externí odkaz:
http://arxiv.org/abs/2410.10634
Disaggregated memory breaks the boundary of monolithic servers to enable memory provisioning on demand. Using network-attached memory to provide memory expansion for memory-intensive applications on compute nodes can improve the overall memory utiliz
Externí odkaz:
http://arxiv.org/abs/2410.02599
High-end ARM processors are emerging in data centers and HPC systems, posing as a strong contender to x86 machines. Memory-centric profiling is an important approach for dissecting an application's bottlenecks on memory access and guiding optimizatio
Externí odkaz:
http://arxiv.org/abs/2410.01514
Modern GPU systems are constantly evolving to meet the needs of computing-intensive applications in scientific and machine learning domains. However, there is typically a gap between the hardware capacity and the achievable application performance. T
Externí odkaz:
http://arxiv.org/abs/2410.00801
This study redefines the analysis of Devaney chaos in multiple mappings from a set-valued perspective and introduces new conditions to characterize their chaotic behavior. As an innovative advancement, we develop computational algorithms to detect an
Externí odkaz:
http://arxiv.org/abs/2409.17936
Autor:
Wang, Li, Wong, O. Ivy, Westmeier, Tobias, Murugeshan, Chandrashekar, Lee-Waddell, Karen, Cai, Yuanzhi., Liu, Xiu., Shen, Austin Xiaofan, Rhee, Jonghwan, Dénes, Helga, Deg, Nathan, Kamphuis, Peter, Catinella, Barbara
The data volumes generated by the WALLABY atomic Hydrogen (HI) survey using the Australiian Square Kilometre Array Pathfinder (ASKAP) necessitate greater automation and reliable automation in the task of source-finding and cataloguing. To this end, w
Externí odkaz:
http://arxiv.org/abs/2409.11668