या ई-पुस्तकाविषयी
Based on a course developed by the author, Introduction to High Performance Scientific Computing introduces methods for adding parallelism to numerical methods for solving differential equations. It contains exercises and programming projects that facilitate learning as well as examples and discussions based on the C programming language, with additional comments for those already familiar with C++.
The text provides an overview of concepts and algorithmic techniques for modern scientific computing and is divided into six self-contained parts that can be assembled in any order to create an introductory course using available computer hardware. Part I introduces the C programming language for those not already familiar with programming in a compiled language. Part II describes parallelism on shared memory architectures using OpenMP. Part III details parallelism on computer clusters using MPI for coordinating a computation. Part IV demonstrates the use of graphical programming units (GPUs) to solve problems using the CUDA language for NVIDIA graphics cards. Part V addresses programming on GPUs for non-NVIDIA graphics cards using the OpenCL framework. Finally, Part VI contains a brief discussion of numerical methods and applications, giving the reader an opportunity to test the methods on typical computing problems.
The text provides an overview of concepts and algorithmic techniques for modern scientific computing and is divided into six self-contained parts that can be assembled in any order to create an introductory course using available computer hardware. Part I introduces the C programming language for those not already familiar with programming in a compiled language. Part II describes parallelism on shared memory architectures using OpenMP. Part III details parallelism on computer clusters using MPI for coordinating a computation. Part IV demonstrates the use of graphical programming units (GPUs) to solve problems using the CUDA language for NVIDIA graphics cards. Part V addresses programming on GPUs for non-NVIDIA graphics cards using the OpenCL framework. Finally, Part VI contains a brief discussion of numerical methods and applications, giving the reader an opportunity to test the methods on typical computing problems.
रेटिंग आणि पुनरावलोकने
४.५
२ परीक्षणे
लेखकाविषयी
ÿ
या ई-पुस्तकला रेटिंग द्या
तुम्हाला काय वाटते ते आम्हाला सांगा.
वाचन माहिती
स्मार्टफोन आणि टॅबलेट
Android आणि iPad/iPhone साठी Google Play बुक अ‍ॅप इंस्‍टॉल करा. हे तुमच्या खात्‍याने आपोआप सिंक होते आणि तुम्ही जेथे कुठे असाल तेथून तुम्हाला ऑनलाइन किंवा ऑफलाइन वाचण्‍याची अनुमती देते.
लॅपटॉप आणि कॉंप्युटर
तुम्ही तुमच्या काँप्युटरचा वेब ब्राउझर वापरून Google Play वर खरेदी केलेली ऑडिओबुक ऐकू शकता.
ईवाचक आणि इतर डिव्हाइसेस
Kobo eReaders सारख्या ई-इंक डिव्‍हाइसवर वाचण्‍यासाठी, तुम्ही एखादी फाइल डाउनलोड करून ती तुमच्या डिव्‍हाइसवर ट्रान्सफर करणे आवश्यक आहे. सपोर्ट असलेल्या eReaders वर फाइल ट्रान्सफर करण्यासाठी, मदत केंद्र मधील तपशीलवार सूचना फॉलो करा.
