Scientific computing is the field of study concerned with constructing mathematical models and quantitative analysis techniques and using computers to analyze and solve scientific problems. In practical use, it is typically the application of computer simulation and other forms of computation to problems in various scientific disciplines.
Learn more about quantum dots from the many resources on this site, listed below. More information on Scientific Computing can be found here.
Interactive Learning Tools for Scientific Computing and Data Analysis Using R
29 Jul 2020 | | Contributor(s):: Cindy Nguyen, Rei Sanchez-Arias
Root-finding methods and numerical optimization techniques with applications in science, engineering, and data analysis
Adolfo Catral Sanabria
Sebastian Jan Juchnowski
Robert Radcliffe Gotwals
Purdue School on High Performance and Parallel Computing
out of 5 stars
24 Nov 2008 | | Contributor(s):: Alejandro Strachan, Faisal Saied
The goal of this workshop is to provide training in the area of high performance scientific computing for graduate students and researchers interested in scientific computing. The School will address current hardware and software technologies and trends for parallel computing and their...
Computational Nanoscience, Lecture 4: Geometry Optimization and Seeing What You're Doing
13 Feb 2008 | | Contributor(s):: Jeffrey C Grossman, Elif Ertekin
In this lecture, we discuss various methods for finding the ground state structure of a given system by minimizing its energy. Derivative and non-derivative methods are discussed, as well as the importance of the starting guess and how to find or generate good initial structures. We also briefly...
Opening Remarks: Excellence in Computer Simulation
03 Jan 2008 | | Contributor(s):: Mark Lundstrom
Opening remarks for the one-day forum, "Excellence in Computer Simulation," which brought together a broad set of experts to reflect on the future of computational science and engineering.
Challenges and Strategies for High End Computing
20 Dec 2007 | | Contributor(s):: Katherine A. Yelick
This presentation was one of 13 presentations in the one-day forum, "Excellence in Computer Simulation," which brought together a broad set of experts to reflect on the future of computational science and engineering.
Scaling Simulation Impact
20 Dec 2007 | | Contributor(s):: Ian Foster
Session 3: Discussion
20 Dec 2007 |
Discussion led by Jim Demmel, University of California at Berkeley.
Session 4: Discussion
Discussion led by Mark Allendorf, Sandia National Laboratory.
Computational Mathematics: Role, Impact, Challenges
20 Dec 2007 | | Contributor(s):: Juan C. Meza
Session 1: Discussion
19 Dec 2007 |
Discussion led by Mark Lundstrom, Purdue University.
Excellence in Computer Simulation
19 Dec 2007 | | Contributor(s):: Mark Lundstrom, Jeffrey B. Neaton, Jeffrey C Grossman
Computational science is frequently labeled as a third branch of science - equal in standing with theory and experiment, and computational engineering is now an essential component of technology development and manufacturing. The successes of computational science and engineering (CSE) over the...
HPCW Condor: High Throughput Computing
09 Oct 2007 | | Contributor(s):: Thomas (Tom) Kesler
Condor is a research project of the University of Wisconsin. It offers an environment called "High Throughput Computing" for compute-intensive jobs. Condor can manage a collection of compute nodes and can harness wasted CPU power from otherwise idle workstations of a cluster or desktop. Condor...
High Performance Computing Training Workshop
09 Oct 2007 |
The Computing Research Institute and the Rosen Center for Advanced Computing hosted a training workshop on High Performance Computing August 6 &7, and September 10 & 11, 2007. The goal of this workshop is to increase the attendees’ knowledge of parallel architectures and parallel programming on...