Results 11 to 20 of about 5,647,510 (295)

Python for Scientific Computing [PDF]

Computing in Science and Engineering, 2007
Travis E Oliphant
exaly   +3 more sources

Sparse matrix multiplication in a record-low power self-rectifying memristor array for scientific computing. [PDF]

Sci Adv, 2023
Memristor-enabled in-memory computing provides an unconventional computing paradigm to surpass the energy efficiency of von Neumann computers. Owing to the limitation of the computing mechanism, while the crossbar structure is desirable for dense ...
Li J, Ren SG, Li Y, Yang L, Yu Y, Ni R, Zhou H, Bao H, He Y, Chen J, Jia H, Miao X.   +11 more
europepmc   +2 more sources

SciPy 1.0: fundamental algorithms for scientific computing in Python. [PDF]

Nat Methods, 2020
SciPy is an open-source scientific computing library for the Python programming language. Since its initial release in 2001, SciPy has become a de facto standard for leveraging scientific algorithms in Python, with over 600 unique code contributors ...
Virtanen P, Gommers R, Oliphant TE, Haberland M, Reddy T, Cournapeau D, Burovski E, Peterson P, Weckesser W, Bright J, van der Walt SJ, Brett M, Wilson J, Millman KJ, Mayorov N, Nelson ARJ, Jones E, Kern R, Larson E, Carey CJ, Polat İ, Feng Y, Moore EW, VanderPlas J, Laxalde D, Perktold J, Cimrman R, Henriksen I, Quintero EA, Harris CR, Archibald AM, Ribeiro AH, Pedregosa F, van Mulbregt P, SciPy 1.0 Contributors.   +34 more
europepmc   +2 more sources

Author Correction: SciPy 1.0: fundamental algorithms for scientific computing in Python. [PDF]

Nat Methods, 2020
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Virtanen P, Gommers R, Oliphant TE, Haberland M, Reddy T, Cournapeau D, Burovski E, Peterson P, Weckesser W, Bright J, van der Walt SJ, Brett M, Wilson J, Millman KJ, Mayorov N, Nelson ARJ, Jones E, Kern R, Larson E, Carey CJ, Polat İ, Feng Y, Moore EW, VanderPlas J, Laxalde D, Perktold J, Cimrman R, Henriksen I, Quintero EA, Harris CR, Archibald AM, Ribeiro AH, Pedregosa F, van Mulbregt P, SciPy 1.0 Contributors.   +34 more
europepmc   +2 more sources

Mortise-tenon-shaped memristors for scientific computing. [PDF]

Sci Adv
In-memory computing hardware based on memristors has emerged as a promising option for scientific computing due to its large-scale parallel data processing capability. However, the nonuniformity issue of the memristors renders the practical deployment of
Dang W, Shen Y, Wei W, Pan C, Chen F, Ruan GJ, Luo Y, Guo Y, Tan Q, Shi J, Yangdong XJ, Chen S, Wang C, Xie Y, Yang ZZ, Wang P, Wang S, Zhong L, Cheng S, Zhu C, Cheng B, Liang SJ, Miao F.   +22 more
europepmc   +2 more sources

Distributing User Code with the CernVM FileSystem [PDF]

EPJ Web of Conferences, 2020
The CernVM FileSystem (CVMFS) is widely used in High Throughput Computing to efficiently distributed experiment code. However, the standard CVMFS publishing tools are designed for a small group of people from each experiment to maintain common software ...
Dykstra Dave, Bhat Shreyas, Box Dennis, Kim Hyun Woo, Levshina Tanya   +4 more
doaj   +1 more source

Lightweight site federation for CMS support [PDF]

EPJ Web of Conferences, 2020
There is a general trend in WLCG towards the federation of resources, aiming for increased simplicity, efficiency, flexibility, and availability. Although general VO-agnostic federation of resources between two independent and autonomous resource centres
Acosta-Silva C., Delgado Peris A., Flix J., Guerrero J. M., Hernández J. M., Pérez-Calero Yzquierdo A., Rodriguez Calonge F. J., Gómez-Pulgar J.   +7 more
doaj   +1 more source

Quantum algorithms for scientific computing [PDF]

Reports on progress in physics. Physical Society, 2023
Quantum computing promises to provide the next step up in computational power for diverse application areas. In this review, we examine the science behind the quantum hype, and the breakthroughs required to achieve true quantum advantage in real world ...
R. Au-Yeung, Bruno Camino, Omer Rathore, Viv Kendon   +3 more
semanticscholar   +1 more source

Analysis of programming languages used in solving energy problems [PDF]

E3S Web of Conferences, 2022
The use of Information and Communication Technology (ICT) in the energy sector is becoming increasingly common. From data collection, recording and dissemination of energy information to design, planning and management of energy systems, scientific ...
Temgoua Nanfack Pelagie Flore, Mamate Abakaka Inouss, Aziz Abdoul, Tsuanyo David   +3 more
doaj   +1 more source

Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks in Scientific Computing [PDF]

arXiv.org, 2022
Recent breakthroughs in computing power have made it feasible to use machine learning and deep learning to advance scientific computing in many fields, including fluid mechanics, solid mechanics, materials science, etc.
Salah A. Faroughi, N. Pawar, C. Fernandes, Subasish Das, N. Kalantari, S. K. Mahjour   +5 more
semanticscholar   +1 more source