20 papers · ranked by Valyu relevance
Sören Henning, Adriano Vogel, Esteban Perez-Wohlfeil, Otmar Ertl + 1 more
'Rick Rabiser'] Sören Henning, Adriano Vogel, Esteban Perez-Wohlfeil, Otmar Ertl, and Rick Rabiser. 2025. When Should I Run My Application Benchmark?: Studying Cloud Performance Variability for the Case of Stream Processing Applications. In 33rd ACM International Conference on the Foundations of Software Engineering…
Minyu Cui, Νικέλα Παπαδοπούλου, Miquel Pericàs
In the high performance computing (HPC) domain, performance variability is a major scalability issue for parallel computing applications with heavy synchronization and communication. In this paper, we present an experimental performance analysis of OpenMP benchmarks regarding the variation of execution time, and…
Sören Henning, Adriano Vogel, Esteban Pérez-Wohlfeil, Otmar Ertl + 1 more
Benchmarks and performance experiments are frequently conducted in cloud environments. However, their results are often treated with caution, as the presumed high variability of performance in the cloud raises concerns about reproducibility and credibility. In a recent study, we empirically quantified the impact of…
Timothy Proctor, Anh Tran, Xingxin Liu, Aditya Dhumuntarao + 3 more
'Stefan Seritan' 'Alaina Green' 'Norbert M Linke'] Benchmarks that concisely summarize the performance of many-qubit quantum computers are essential for measuring progress towards the goal of useful quantum computation. In this work, we present a benchmarking framework that is based on quantifying how a quantum…
Jonas Vester, David Carrasco-Busturia, Kenneth Ruud, Magnus Ringholm + 1 more
We present a workflow, benchmarks, and applications to provide a roadmap for simulating harmonic IR and Raman spectra for large solute-solvent systems by employing a polarizable-embedding quantum-mechanics (PE-QM) approach. This multiscale modeling scheme divides the system into a central core region described by…
Marcel André Schneider, Jeesun Kim, Felix Berlth, Yutaka Sugita + 9 more
In recent years there has been growing emphasis on the assessment of surgical outcomes to evaluate the quality of care provided by hospitals, departments, and individual surgeons. These data are often made public and used to compare the performance of different providers to improve transparency and patient autonomy33.…
Nahyun Kong, Zitian Tang, Andrew Ruttenberg, Juan F. Macias-Velasco + 24 more
Somatic mosaicism is essential in human biology and disease, yet robust benchmarks are scarce. The SMaHT Consortium mixed six HapMap cell lines to create artificial somatic variants spanning 0.25% to 16.5% variant allele fractions. We developed a technology-agnostic method that builds pangenome graphs from individual…
Authors not listed
Optimizing the synthesis conditions of advanced materials is challenging, especially when outcomes are subject to inherent experimental uncertainties. Bayesian optimization is a popular tool for accelerating materials discovery, but its standard risk-neutral framework overlooks the variability of outcomes under…
Juyoung Jung, Ariel M. Aloe
Meta-analyses often use standardized mean differences (SMDs), such as Cohen's d and Hedges' g, to compare treatment effects. However, these SMDs are highly sensitive to the within-study sample variability used for their standardization, potentially distorting individual effect size estimates and compromising overall…
Authors not listed
Physics-based methods such as protein-ligand binding free energy calculations have been increasingly adopted in early-stage drug discovery to prioritize promising compounds for synthesis. However, the accuracy of these methods is highly dependent on details of the calculation and choices made while preparing the…
Yaron Ilan
The Constrained Disorder Principle (CDP) defines all systems in nature by their degree of inherent variability. Per the CDP, the intrinsic variability is mandatory for their proper function and is dynamically changed based on pressures. The CDP defines the boundaries of inherent variability as a mechanism for…
Jake Cowin, Sophia Nimphius, James Fell, Peter Culhane + 1 more
'Matthew Schmidt'] Movement variability is defined as the normal variations in motor performance across multiple repetitions of a task. However, the term “movement variability” can mean different things depending on context, and when used by itself does not capture the specifics of what has been investigated. Within…
Vincent Dufour-Decieux, Brandi Ransom, Rodrigo Freitas, Jose Blanchet + 1 more
Molecular Dynamics (MD) simulations are a key tool to understand the mechanism of complex chemical system and observe their outcomes in different conditions. However, such simulations are computationally expensive, which limits their timescales to the nanoseconds. This limitation is inconsequential at high…
Scott Wolf, Diogo Melo, Kristina M. Garske, Luisa F. Pallares + 2 more
Gene expression variance has been linked to organismal function and fitness but remains a commonly ne-glected aspect of molecular research. As a result, we lack a comprehensive understanding of the patterns of transcriptional variance across genes, and how this variance is linked to context-specific gene regulation and…
Zhenghao Wu, Tianhang Zhou
In the realm of multiscale molecular simulations, structure-based coarse graining is a prominent approach for creating efficient coarse-grained (CG) representations of soft matter systems such as polymers. This involves optimizing CG interactions by matching static correlation functions of corresponding degrees of…
Authors not listed
The construction of large benchmark sets has accelerated advancement of quantum chemistry methods, especially in density functional theory and lower-cost methods. However, these large benchmark sets can be unsuitable for cutting-edge method development, because research codes developed for fundamentally new approaches…
Carmen Ruano, Carla Caballero, Francisco J. Moreno, Andrew Lavender
There is a controversy about the benefits of variable practice on motor learning. This study aimed to analyze the effect of variable practice after the learner stabilized their performance. Thirty-two healthy adults performed a computer-simulated discrete accuracy task in which they had to release a virtual ball to try…
Yaron Ilan, Jacques Demongeot
Title: Simple Summary The Constrained Disorder Principle (CDP) helps us understand how biological systems manage noise to function well. This review looks at the connection between noise and biological systems at different levels, including genes, cells, and organs, and how this relationship can lead to problems when…
Max H. Andrews, Adam D. Gorman, Rian H. Crowther
Fast bowling in cricket involves a complex multiarticular action performed at high speed. Functional movement variability plays an important role in helping the performer to maintain the consistency of performance outcomes, although this has not previously been examined in cricket fast bowling in relation to…
James Phipps-Tan, Saudat Alishayeva, Huiting Xu, Julien F. Ayroles + 1 more
Environmental perturbation reshapes phenotypes not only by shifting trait means but also by modulating phenotypic variability. Whether environmentally induced changes in variability -environmental robustness- are genetically regulated remains unclear. To address this question, we collected nearly 2,000 matched genomes…