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- RIKENJP148 papers
- RIKEN Center for Emergent Matter ScienceJP121 papers
- The University of TokyoJP79 papers
- RIKEN Center for Quantum Computing45 papers
- Kobe UniversityJP40 papers
- Tokyo Institute of TechnologyJP39 papers
- University of TsukubaJP39 papers
- The University of OsakaJP36 papers
- Pioneer (Japan)JP35 papers
- University of EdinburghGB33 papers
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- Kyoto UniversityJP27 papers
493 papers
Multi-GPU Communication Schemes for Iterative Solvers: When CPUs are Not in Charge
Ismayil Ismayilov, Javid Baydamirli, Doğan Sağbili +2
This paper proposes a fully autonomous execution model for multi-GPU applications that completely excludes the involvement of the CPU beyond the initial kernel launch. In a typical…
Towards Fully Dynamic Omnitrees: Moment-Conserving Anisotropic Compression With Wavelets
Theresa Pollinger, Masado Ishii, Jens Domke
Recently, omnitrees were introduced as a flexible space partitioning tree that improves upon the benefits of both octrees and k-d trees: Omnitrees' efficient encoding of anisotropi…
Human-Flow Digital Twin for Predicting the Effects of Mobility Introduction on Visitor Circulation
Chiharu Shima, Haruki Yonekura, Fukuharu Tanaka +2
We propose a framework for predicting the effects of mobility introduction measures using a human-flow digital twin. This digital twin incorporates a multi-agent simulator that can…
Theoretical estimates for the synthesis of superheavy nuclei with Ca, Ti, V, and Cr projectiles: effects of reaction values and mass-model dependence
K. Kawai, Y. Aritomo, K. Nakajima +2
Fusion reactions with 48Ca beams, which have been used for synthesis of nuclei, face practical limitations for the synthesis of nuclei with because of the l…
Synchronized molecular dynamics method for thin-layer flows of complex fluids
Shugo Yasuda, Kotaro Oda, Fumito Muragaki +3
We propose a multiscale computational method for thin-layer flows of complex fluids, termed the synchronized molecular dynamics (SMD) method, which directly couples local molecular…
LLMTailor: A Layer-wise Tailoring Tool for Efficient Checkpointing of Large Language Models
Minqiu Sun, Xin Huang, Luanzheng Guo +3
Checkpointing is essential for fault tolerance in training large language models (LLMs). However, existing methods, regardless of their I/O strategies, periodically store the entir…