Load Balancing Using Quantum Annealing for High Performance Computing
Quantum annealing shows promise in improving load balancing for high-performance computing applications.
Effiziente Verarbeitung und Analyse von Inhalten für Erkenntnisse mit libEnsemble
libEnsemble ermöglicht dynamische Ensembles auf effiziente Weise durch ein einzigartiges Generator-Simulator-Allokator-Paradigma.
FTTN: Feature-Targeted Testing for Numerical Properties of NVIDIA & AMD Matrix Accelerators
Die Untersuchung von Matrix-Beschleunigern von NVIDIA und AMD zeigt wichtige Unterschiede in numerischen Eigenschaften auf.
FTTN: Feature-Targeted Testing for Numerical Properties of NVIDIA & AMD Matrix Accelerators
Matrix accelerators' feature differences can significantly impact numerical results, emphasizing the need for precise testing before porting code across GPUs.
Assessing Large Language Models in Translating Formal Specifications
Large Language Models struggle in translating formal specifications accurately, limiting their utility in system design.
Optimierung von Mobile Edge Computing für Play-to-Earn in der Metaverse
Optimierung von Mobile Edge Computing für Play-to-Earn in der Metaverse durch Multi-Agent Loss-Sharing (MALS) Verstärkungslernen.
Capacity Provisioning Motivated Online Non-Convex Optimization Problem with Memory and Switching Cost Analysis
Analyzing online non-convex optimization with memory and switching cost for capacity provisioning.
MultiPrecisionArrays.jl: Iterative Refinement in Julia
MultiPrecisionArrays.jl provides efficient iterative refinement with various precisions, enhancing research capabilities.
Analyzing MultiPrecisionArrays.jl for Iterative Refinement in Julia
MultiPrecisionArrays.jl provides data structures and solvers for iterative refinement, offering valuable insights into precision tradeoffs.
Efficient Hardware Implementation of Application-Specific Embedded Systems
Partially-precise computing paradigm improves hardware efficiency for application-specific embedded systems.
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