21 papers · ranked by Valyu relevance
Marvin Damschen, Christian Plessl
—This paper introduces Binary Acceleration At Runtime (BAAR), an easy-to-use on-the-fly binary acceleration mechanism which aims to tackle the problem of enabling existent software to automatically utilize accelerators at runtime. BAAR is based on the LLVM Compiler Infrastructure and has a client-server architecture.…
Yuke Wang, Boyuan Feng, Gushu Li, Shuangchen Li + 3 more
As the emerging trend of graph-based deep learning, Graph Neural Networks (GNNs) excel for their capability to generate high-quality node feature vectors (embeddings). However, the existing one-size-fits-all GNN implementations are insufficient to catch up with the evolving GNN architectures, the ever-increasing graph…
Myeongjin Kang, Daejin Park, Luca Di Nunzio, Sergio Spanò
Edge inference systems must sustain real-time performance under dynamic environments such as sensor noise, illumination change, and new object classes. Conventional edge devices deploy static offline-trained models, causing accuracy degradation when the input distribution drifts. This study proposes a runtime-robust…
Lars Hummelgren, John Wikman, Oscar Eriksson, Philipp Haller + 1 more
'David Broman'] Efficient parallelization of algorithms on general-purpose GPUs is essential in many areas today. However, it is a nontrivial task for software engineers to utilize GPUs to improve the performance of high-level programs in general. Although many domain-specific approaches are available for GPU…
Lin Wang, Depei Qian, Zhongzhi Luan, Guang Wei + 3 more
Workload consolidation is a common method to increase resource utilization of the clusters or data centers while still trying to ensure the performance of the workloads. In order to get the maximum benefit from workload consolidation, the task scheduler has to understand the runtime characteristics of the individual…
Michail Papadimitriou, Juan Fumero, Athanasios Stratikopoulos, Foivos S. Zakkak + 1 more
'Foivos S. Zakkak' 'Christos Kotselidis'] Abstract In recent years, heterogeneous computing has emerged as the vital way to increase computers' performance and energy efficiency by combining diverse hardware devices, such as Graphics Processing Units (GPUs) and Field Programmable Gate Arrays (FPGAs). The rationale…
Reed D. Gurchiek, Zachary Teplin, Antoine Falisse, Jennifer L. Hicks + 1 more
Hamstring strain injuries are associated with significant time away from sport and high reinjury rates. Recent evidence suggests that hamstring injuries often occur during accelerative running, but investigations of hamstring mechanics have primarily examined constant speed running on a treadmill. To help fill this gap…
Megan Dreher, Alexis Terterov, Olivia Feistner, Laura Freiermuth + 3 more
Motivational music has been shown to improve running performance through delaying fatigue and increasing run duration. Previous studies have highlighted the effect of music tempo, that matching tempo to the runner’s cadence delays running fatigue. It remains unclear whether the motivational content in music lyrics is…
Paul Bilokon, Burak Gunduz
This work aims to bridge the existing knowledge gap in the optimisation of latency-critical code, specifically focusing on high-frequency trading (HFT) systems. The research culminates in three main contributions: the creation of a Low-Latency Programming Repository, the optimisation of a market-neutral statistical…
Andrés Baena-Raya, Manuel A. Rodríguez-Pérez, Pedro Jiménez-Reyes, Alberto Soriano-Maldonado + 1 more
'Alberto Soriano-Maldonado' 'Mário António Cardoso Marques'] Sprint running and change of direction (COD) present similar mechanical demands, involving an acceleration phase in which athletes need to produce and apply substantial horizontal external force. Assessing the mechanical properties underpinning individual…
Authors not listed
Computing electrostatic interactions remains the bottleneck of molecular dynamics (MD) simulations despite more than a century of effort in developing methods to accelerate the calculation. Previously we have developed the Spherical Grid and Treecode (SGT) and Gauss-Legendre-Spherical-t (GLST) algorithms for…
Irineu Loturco, Tomás T. Freitas, Santiago Zabaloy, Lucas A. Pereira + 6 more
'Túlio B. M. A. Moura' 'Victor Fernandes' 'Valter P. Mercer' 'Pedro E. Alcaraz' 'Adam Zając' 'Chris Bishop'] This is the second article in a three-article collection regarding the plyometric, speed, and resistance training practices of Brazilian Olympic sprint and jump coaches. Here, we list and describe six out of the…
Shayne Vial, Jodie Cochrane Wilkie, Mitchell Turner, Mark Scanlan + 1 more
The rate of initial acceleration during the first steps of a maximal-effort (sprint) run often determines success or failure in prey capture and predator evasion, and is a vital factor of success in many modern sports. However, accelerative events are commonly performed after having already run considerable distances…
Weixiong Chen, Dexing Qian, Huaichuan Zhang, Yanfei Shen
This study aimed to investigate the acute effects of resisted sprint-induced post-activation potentiation enhancement (PAPE) on 100-m sprint performance under three loading conditions (5%, 10%, and 15% body weight) and three rest intervals (4, 8, and 12 min), with a focus on segmental performance (0-30 m, 30-60 m, and…
Andreas Gocht, Robert Schöne, Mario Bielert
—System self-tuning is a crucial task to lower the energy consumption of computers. Traditional approaches decrease the processor frequency in idle or synchronisation periods. However, in High-Performance Computing (HPC) this is not sufficient: if the executed code is load balanced, there are neither idle nor…
Stuart A. Evans, Daniel James, David Rowlands, James B. Lee
While the sport of short-distance (Sprint) triathlon provides an opportunity to research the effect of the center of mass (CoM) when cycling and running, much remains to be done. The literature has failed to consistently or adequately report how changes to hand position influence subsequent running as inferred by the…
Nickolas Gantzler, Aryan Deshwal, Janardhan Rao Doppa, Cory Simon
Our objective is to search a large candidate set of covalent organic frameworks (COFs) for the one with the largest equilibrium adsorptive selectivity for xenon (Xe) over krypton (Kr) at room temperature. To predict the Xe/Kr selectivity of a COF structure, we have access to two molecular simulation techniques: (1) a…
M. J. Connick, E. M. Beckman, S. M. Tweedy
Since publication of this paper (Royal Society open science, 2022. 9(1): p. 211799), the authors have published a correction clarifying that the paper presents a case study that ‘… did not meet the definition for research with regard to human subjects'. The data are incorrectly referred to as experimental because the…
Damian Kovacevic, George Elias, Susanne Ellens, Adam Cox + 1 more
In football, having greater acceleration ability may decide the most important moments within matches. Up to now, commonly used acceleration variables have typically been investigated in isolation, with each variable suffering from unique limitations. Subsequently, any findings may provide a limited representation of…
Authors not listed
As a prove of concept for experimental geochemistry, an advanced 3D numerical framework, here and after called Digital Twin (DT), of a diffusion experiment conducted at a synchrotron beamline, has been implemented using in-situ measurements data, physics-based modelling, a machine learning (ML) model, and parameter…
Authors not listed
Modeling multimetallic systems efficiently enables faster prediction of desirable chemical properties and design of new materials. This work describes an initial implementation for performing multireference wave function method localized active space self-consistent field (LASSCF) calculations through the use of…