Intelligence in Scientific Computing by Abelson, Harold, Eisenberg, Michael, Halfact, Mathew, Katzenelson, Jacob, Sacks, Elisha, Sussman, Gerald Jay, Wisdom, Jack, Yip, Ken

Get full text

Quantitative Performance Modeling of Scientific Computations by Toledo, Sivan Abraham

Get full text

Symbolic-numeric programming in scientific computing by Gowda, Shashi

“…There is a tendency in scientific computing to create a “compiler for every problem” starting from scratch every time. …”
Get full text

Graph coarsening: from scientific computing to machine learning by Chen, Jie, Saad, Yousef, Zhang, Zechen

“…Abstract The general method of graph coarsening or graph reduction has been a remarkably useful and ubiquitous tool in scientific computing and it is now just starting to have a similar impact in machine learning. …”
Get full text

An analysis of scientific computing environments : a consumer's view by Soni, Amit

Get full text

Partial Evaluation for Scientific Computing: The Supercomputer Toolkit Experience by Berlin, Andrew, Surati, Rajeev

Get full text

Hydra-zen Framework Makes Scientific Computing Easier for Researchers

“…Hydra-zen aims to simplify and automate the scientific computing process.…”
Get full text

Quantitative performance modeling of scientific computations and creating locality in numerical algorithms by Toledo, Sivan Avraham

Get full text

Control Algorithms for Chaotic Systems by Bradley, Elizabeth

Subjects: Get full text

MURPHY---A Scalable Multiresolution Framework for Scientific Computing on 3D Block-Structured Collocated Grids by Gillis, Thomas, van Rees, Wim M.

Get full text

SciANN: A Keras/TensorFlow wrapper for scientific computations and physics-informed deep learning using artificial neural networks by Haghighat, Ehsan, Juanes, Ruben

“…In this paper, we introduce SciANN, a Python package for scientific computing and physics-informed deep learning using artificial neural networks. …”
Get full text

18.086 Mathematical Methods for Engineers II, Spring 2005 by Strang, Gilbert

Subjects: “…Scientific computing: Fast Fourier Transform…”
Get full text

10.34 Numerical Methods Applied to Chemical Engineering, Fall 2006 by Green, William H.

Subjects: Get full text

Parallel MIMD computation : the HEP supercomputer and its applications

Get full text

Linking Machine Learning with Multiscale Numerics: Data-Driven Discovery of Homogenized Equations by Arbabi, Hassan

“…We propose to transformatively facilitate this training data collection process by linking machine learning (here, neural networks) with modern multiscale scientific computation (here, equation-free numerics). These equation-free techniques operate over sparse collections of small, appropriately coupled, space-time subdomains (“patches”), parsimoniously producing the required macro-scale training data. …”
Get full text

Massively parallelizing the RRT and the RRT* by Karaman, Sertac, Frazzoli, Emilio, Bialkowski, Joshua John

“…Algorithms that can be implemented on GPUs today are not only limited to graphics processing, but include scientific computation and beyond. This paper is concerned with massively parallel implementations of incremental sampling-based robot motion planning algorithms, namely the widely-used Rapidly-exploring Random Tree (RRT) algorithm and its asymptotically-optimal counterpart called RRT*. …”
Get full text
Get full text
Get full text

Understanding object-level memory access patterns across the spectrum by El-Sayed, Nosayba, Sanchez, Daniel

“…We find that scientific computation applications exhibit distinct behaviors compared to datacenter workloads, motivating separate memory system design/optimizations.…”
Get full text

Generalized physics-informed learning through language-wide differentiable programming by Rackauckas, C, Edelman, A, Fischer, K, Innes, M, Saba, E, Shah, VB, Tebbutt, W

“…Copyright © 2020, for this paper by its authors. Scientific computing is increasingly incorporating the advancements in machine learning to allow for data-driven physics-informed modeling approaches. …”
Get full text

18.337J / 6.338J Applied Parallel Computing (SMA 5505), Spring 2003 by Edelman, Alan

“…Advanced interdisciplinary introduction to modern scientific computing on parallel supercomputers. Numerical topics include dense and sparse linear algebra, N-body problems, and Fourier transforms. …”
Get full text

A Trajectory-Driven Algorithm for Differentiating SRB Measures on Unstable Manifolds by Śliwiak, Adam A, Wang, Qiqi

Get full text