The art of high performance computing for computational science. Vol. 2, Advanced Techniques and Examples for Materials Science / Masaki Geshi, editor.
2019
QA76.88
Formats
| Format | |
|---|---|
| BibTeX | |
| MARCXML | |
| TextMARC | |
| MARC | |
| DublinCore | |
| EndNote | |
| NLM | |
| RefWorks | |
| RIS |
Linked e-resources
Linked Resource
Concurrent users
Unlimited
Authorized users
Authorized users
Document Delivery Supplied
Can lend chapters, not whole ebooks
Details
Title
The art of high performance computing for computational science. Vol. 2, Advanced Techniques and Examples for Materials Science / Masaki Geshi, editor.
ISBN
9789811398025 (electronic book)
981139802X (electronic book)
9789811398018
981139802X (electronic book)
9789811398018
Publication Details
Singapore : Springer, 2019.
Language
English
Description
1 online resource (209 pages)
Item Number
10.1007/978-981-13-9
Call Number
QA76.88
Dewey Decimal Classification
004.1/1
Summary
This book presents advanced and practical techniques for performance optimization for highly parallel processing. Featuring various parallelization techniques in material science, it is a valuable resource for anyone developing software codes for computational sciences such as physics, chemistry, biology, earth sciences, space science, weather, disaster prevention and manufacturing, as well as for anyone using those software codes. Chapter 1 outlines supercomputers and includes a brief explanation of the history of hardware. Chapter 2 presents procedures for performance evaluation, while Chapter 3 describes the set of tuned applications in materials science, nanoscience and nanotechnology, earth science and engineering on the K computer. Introducing the order-N method, based on density functional theory (DFT) calculation, Chapter 4 explains how to extend the applicability of DFT to large-scale systems by reducing the computational complexity. Chapter 5 discusses acceleration and parallelization in classical molecular dynamics simulations, and lastly, Chapter 6 explains techniques for large-scale quantum chemical calculations, including the order-N method. This is the second of the two volumes that grew out of a series of lectures in the K computer project in Japan. The first volume addresses more basic techniques, and this second volume focuses on advanced and concrete techniques. -- Provided by publisher.
Note
Includes index.
Access Note
Access limited to authorized users.
Source of Description
Description based on print version record.
Added Author
Available in Other Form
Linked Resources
Record Appears in