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Joint optimization of task offloading and energy trading in edge-enabled smart grids using deep reinforcement learning. [PDF]
PLoS OneXue R, Li B, He W, Wang Y.
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Cognitive Load in the Age of Artificial Intelligence: A Bibliometric Analysis (2021-2025). [PDF]
Ann NeurosciGupta S +7 more
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AI for scientific discovery is a social problem. [PDF]
Patterns (N Y)Channing G, Ghosh A.
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WS-SSA: workflow scheduling in cloud computing using salp swarm algorithm. [PDF]
Sci RepSharawy AA +3 more
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Integrating Uncertainty Quantification into Computational Fluid Dynamics Models of Coronary Arteries Under Steady Flow. [PDF]
J Biomech EngUsman M +3 more
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Reproducibility in Scientific Computing
ACM Computing Surveys, 2018Reproducibility is widely considered to be an essential requirement of the scientific process. However, a number of serious concerns have been raised recently, questioning whether today’s computational work is adequately reproducible. In principle, it should be possible to specify a computation to sufficient detail that anyone should be able to ...
Peter Ivie, Douglas Thain
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Performance Analysis of Scientific Computing Workloads on General Purpose TEEs
IEEE International Parallel and Distributed Processing Symposium, 2021Scientific computing sometimes involves computation on sensitive data. Depending on the data and the execution environment, the HPC (high-performance computing) user or data provider may require confidentiality and/or integrity guarantees.
Ayaz Akram +4 more
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Scientific computing with Java
Computer Applications in Engineering Education, 2010AbstractIn this work we aimed to use examples from various fields (physics, medicine and structural biology) and several mathematical libraries for Java (COLT and JLAPACK) to demonstrate the advantages of scientific computing using Java. We also compared the runtimes of different Java compilers (Sun, IBM and Blackdown) and found that IBM's Java ...
Peter Knoll, Siroos Mirzaei
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Theoretical and Applied Mechanics Letters
Large Language Models (LLMs) have emerged as powerful tools for tackling a wide range of problems, including those in scientific computing, particularly in solving partial differential equations (PDEs).
Zhiwei Gao, George Em Karniadakis
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Large Language Models (LLMs) have emerged as powerful tools for tackling a wide range of problems, including those in scientific computing, particularly in solving partial differential equations (PDEs).
Zhiwei Gao, George Em Karniadakis
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Parallel Scientific Computation
Science, 1993Massively parallel computers offer scientists a new tool for computation, with capabilities and limitations that are substantially different from those of traditional serial computers. Most categories of large-scale scientific computations have proven remarkably amenable to parallel computation, but often the algorithms involved are different from ...
W D, Hillis, B M, Boghosian
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