Multicore Programming Using the ParC Language discusses principles of practical parallel programming using shared memory. It is unique in its approach to writing parallel programs for shared memory machines. It uses a simple yet powerful parallel dialect of C called ParC as the basic programming language, which was co-developed by author Yosi Ben-Asher.

Designed to be used in an introductory course in parallel programming and covering basic and advanced concepts of parallel programming via ParC examples, the book combines a mixture of research directions, covering issues in parallel operating systems, and compilation techniques relevant for shared memory and multicore machines. It also provides a basis through which to evaluate parallel programming performance versus overheads and other resource expenditure.

Multicore Programming Using the ParC Language provides a firm basis for the 'delicate art' of creating efficient parallel programs. Students can exercise parallel programming using a simulation software, which is portable on PC/Unix multicore computers, to gain experience without requiring specialist hardware. Readers can also tackle numerous exciting and challenging exercises at the end of each chapter.

Klappentext

Multicore Programming Using the ParC Language discusses the principles of practical parallel programming using shared memory on multicore machines. It uses a simple yet powerful parallel dialect of C called ParC as the basic programming language. Designed to be used in an introductory course in parallel programming and covering basic and advanced concepts of parallel programming via ParC examples, the book combines a mixture of research directions, covering issues in parallel operating systems, and compilation techniques relevant for shared memory and multicore machines.

Multicore Programming Using the ParC Language provides a firm basis for the 'delicate art' of creating efficient parallel programs. Students can exercise parallel programming using a simulation software, which is portable on PC/Unix multicore computers, to gain experience without requiring specialist hardware. Students can also help to cement their learning by completing the great many challenging and exciting exercises which accompany each chapter.

Inhalt

Preface.- Basic Concepts in Parallel Algorithms and Parallel Programming.- Principles of Shared Memory Parallel Programming using ParC.- Locality and Synchronization.- Multicore Machines.- Improving the Performance of Parallel Programs: The Analytical Approach.- Compilation Techniques.- Working with Sequential Versions.- Performance and Overhead Measures.