Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Walid Keyrouz"'
Publikováno v:
Artificial Intelligence Chemistry, Vol 2, Iss 1, Pp 100050- (2024)
Graph neural networks have been successfully applied to machine learning models related to molecules and crystals, due to the similarity between a molecule/crystal and a graph. In this paper, we present three models that are trained with high-quality
Externí odkaz:
https://doaj.org/article/3d205d0a6b704551ae558cf8aa0ea5f1
Autor:
Joe Chalfoun, Michael Majurski, Tim Blattner, Kiran Bhadriraju, Walid Keyrouz, Peter Bajcsy, Mary Brady
Publikováno v:
Scientific Reports, Vol 7, Iss 1, Pp 1-10 (2017)
Abstract Automated microscopy can image specimens larger than the microscope’s field of view (FOV) by stitching overlapping image tiles. It also enables time-lapse studies of entire cell cultures in multiple imaging modalities. We created MIST (Mic
Externí odkaz:
https://doaj.org/article/4afd7ffa4275492fa81c5fd48e507792
Autor:
Tejaswi Tammareddy, Walid Keyrouz, Ram D. Sriram, Harish C. Pant, Antonio Cardone, Jeffery B. Klauda
Publikováno v:
The journal of physical chemistry. B. 126(27)
The cyclin-dependent kinase (CDK5) forms a stable complex with its activator p25, leading to the hyperphosphorylation of tau proteins and to the formation of plaques and tangles that are considered to be one of the typical causes of Alzheimer's disea
Autor:
Jing Xie, Jiahao Wu, Alexandre Bardakoff, Walid Keyrouz, Shuvra S. Bhattacharyya, Timothy Blattner
Publikováno v:
Journal of Real-Time Image Processing. 18:561-583
Processing large images in real time requires effective image processing algorithms as well as efficient software design and implementation to take full advantage of all CPU cores and GPU resources on state of the art CPU/GPU platforms. Efficiently c
Publikováno v:
Monte Carlo Methods and Applications. 25:329-340
One method of computing the electrostatic energy of a biomolecule in a solution uses a continuum representation of the solution via the Poisson–Boltzmann equation. This can be solved in many ways, and we consider a Monte Carlo method of our design
Publikováno v:
Journal of molecular graphicsmodelling. 112
In this article, we describe training and validation of a machine learning model for the prediction of organic compound normal boiling points. Data are drawn from the experimental literature as captured in the NIST Thermodynamics Research Center (TRC
Publikováno v:
PAMM. 20
Autor:
Gerson C. Kroiz, Loïc Yon, Walid Keyrouz, Alexandre Bardakoff, Timothy Blattner, Bruno Bachelet
Publikováno v:
PAW-ATM@SC
IEEE/ACM 3rd Annual Parallel Applications Workshop: Alternatives To MPI+X (PAW-ATM)
IEEE/ACM 3rd Annual Parallel Applications Workshop: Alternatives To MPI+X (PAW-ATM), Nov 2020, Atlanta, United States. pp.1-15, ⟨10.1109/PAWATM51920.2020.00006⟩
IEEE/ACM 3rd Annual Parallel Applications Workshop: Alternatives To MPI+X (PAW-ATM)
IEEE/ACM 3rd Annual Parallel Applications Workshop: Alternatives To MPI+X (PAW-ATM), Nov 2020, Atlanta, United States. pp.1-15, ⟨10.1109/PAWATM51920.2020.00006⟩
Getting performance on high-end heterogeneous nodes is challenging. This is due to the large semantic gap between a computation's specification-possibly mathematical formulas or an abstract sequential algorithm-and its parallel implementation; this g
Autor:
Tejaswi Tammareddy, Antonio Cardone, Sergio A. Hassan, Harish C. Pant, Mary Brady, Walid Keyrouz, Ram Sriram, Jeffery B. Klauda
Publikováno v:
Biophysical Journal. 121:455a
Publikováno v:
GPU Technology Conference (GTC)
GPU Technology Conference (GTC), NVIDIA, Mar 2020, San Diego, United States
HAL
GPU Technology Conference (GTC), NVIDIA, Mar 2020, San Diego, United States
HAL
International audience; We present Hedgehog, a general-purpose library for taking advantage of powerful compute nodes, multicore CPUs, and multiple GPUs. The novel aspects of Hedgehog are: (1) its explicit representation of a program as a dataflow gr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::c614fcc451f57a355f0a803553e3b75e
https://hal.science/hal-02981031
https://hal.science/hal-02981031