Zobrazeno 1 - 10
of 1 063
pro vyhledávání: '"P. Schieffer"'
Autor:
Tricot, S., Ikeda, H., Tchouekem, H. -C., Breton, J. -C. Le, Yasuda, S., Krüger, P., Fèvre, P. Le, Sébilleau, D., Jaouen, T., Schieffer, P.
Photoelectron diffraction (PED) is a powerful spectroscopic technique that combines elemental resolution with a high sensitivity to the local atomic arrangement at crystal surfaces, thus providing unique fingerprints of selected atomic sites in matte
Externí odkaz:
http://arxiv.org/abs/2411.05581
Multiscale approach for modeling magnetization properties of inhomogeneous ultrathin magnetic layers
Autor:
Mordret, Julien, Breton, Jean-Christophe Le, Delhaye, Gabriel, Lépine, Bruno, Schieffer, Philippe, Tricot, Sylvain
Publikováno v:
Physical Review B, 2024, 110 (14), pp.144427.
We report on spin atomistic calculations used to model static and dynamic magnetic properties of inhomogeneous ultrathin iron films. Active magnetic layers in next-generation spintronic devices are becoming so thin that they exhibit some variable deg
Externí odkaz:
http://arxiv.org/abs/2410.17638
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
Memory management across discrete CPU and GPU physical memory is traditionally achieved through explicit GPU allocations and data copy or unified virtual memory. The Grace Hopper Superchip, for the first time, supports an integrated CPU-GPU system pa
Externí odkaz:
http://arxiv.org/abs/2407.07850