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20192026
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cs.DC2026

Coupling Complementary Simulations for Combined Performance and Energy Optimization

Adel Dabah, Gregor Häfner, Sonja Happ +3

Polymer simulations are among the most computationally demanding workloads in soft-matter research, often requiring days of execution and high energy consumption to achieve physica…

cs.DC2026

Efficient Accelerated Graph Edit Distance Computation on GPU

Adel Dabah, Andreas Herten

Graph representation is a powerful abstraction of real-world objects and relations. Computing the Graph Edit Distance (GED) between graphs is critical in domains such as bioinforma…

cs.DC2026

exaCB: Reproducible Continuous Benchmark Collections at Scale Leveraging an Incremental Approach

Jayesh Badwaik, Mathis Bode, Michal Rajski +1

The increasing heterogeneity of high-performance computing (HPC) systems and the transition to exascale architectures require systematic and reproducible performance evaluation acr…

cs.DC2026

High-performance Vector-length Agnostic Quantum Circuit Simulations on ARM Processors

Ruimin Shi, Gabin Schieffer, Pei-Hung Lin +3

ARM SVE and RISC-V RVV are emerging vector architectures in high-end processors that support vectorization of flexible vector length. In this work, we leverage an important workloa…

cs.DC2025

An HPC Benchmark Survey and Taxonomy for Characterization

Andreas Herten, Olga Pearce, Filipe S. M. Guimarães

The field of High-Performance Computing (HPC) is defined by providing computing devices with highest performance for a variety of demanding scientific users. The tight co-design re…

cs.DC2025

Scaled Block Vecchia Approximation for High-Dimensional Gaussian Process Emulation on GPUs

Qilong Pan, Sameh Abdulah, Mustafa Abduljabbar +8

Emulating computationally intensive scientific simulations is crucial for enabling uncertainty quantification, optimization, and informed decision-making at scale. Gaussian Process…