Limit this search to....

Loop Tiling for Parallelism 2000 Edition
Contributor(s): Jingling Xue (Author)
ISBN: 0792379330     ISBN-13: 9780792379331
Publisher: Springer
OUR PRICE:   $161.49  
Product Type: Hardcover - Other Formats
Published: August 2000
Qty:
Annotation: Loop tiling, as one of the most important compiler optimizations, is beneficial for both parallel machines and uniprocessors with a memory hierarchy. This book explores the use of loop tiling for reducing communication cost and improving parallelism for distributed memory machines. The author provides mathematical foundations, investigates loop permutability in the framework of nonsingular loop transformations, discusses the necessary machineries required, and presents state-of-the-art results for finding communication- and time-minimal tiling choices. Throughout the book, theorems and algorithms are illustrated with numerous examples and diagrams. The techniques presented in Loop Tiling for Parallelism can be adapted to work for a cluster of workstations, and are also directly applicable to shared-memory machines once the machines are modeled as BSP (Bulk Synchronous Parallel) machines. Features and key topics: Detailed review of the mathematical foundations, including convex polyhedra and cones; Self-contained treatment of nonsingular loop transformations, code generation, and full loop permutability; Tiling loop nests by rectangles and parallelepipeds, including their mathematical definition, dependence analysis, legality test, and code generation; A complete suite of techniques for generating SPMD code for a tiled loop nest; Up-to-date results on tile size and shape selection for reducing communication and improving parallelism; End-of-chapter references for further reading. Researchers and practitioners involved in optimizing compilers and students in advanced computer architecture studies will find this a lucid and well-presented reference work with numerous citations to originalsources.
Additional Information
BISAC Categories:
- Computers | Systems Architecture - Distributed Systems & Computing
- Medical
- Computers | Desktop Applications - Word Processing
Dewey: 004.1
LCCN: 00057639
Series: The Springer International Engineering and Computer Science
Physical Information: 0.69" H x 6.14" W x 9.21" (1.25 lbs) 256 pages
 
Descriptions, Reviews, Etc.
Publisher Description:
Loop tiling, as one of the most important compiler optimizations, is beneficial for both parallel machines and uniprocessors with a memory hierarchy. This book explores the use of loop tiling for reducing communication cost and improving parallelism for distributed memory machines. The author provides mathematical foundations, investigates loop permutability in the framework of nonsingular loop transformations, discusses the necessary machineries required, and presents state-of-the-art results for finding communication- and time-minimal tiling choices. Throughout the book, theorems and algorithms are illustrated with numerous examples and diagrams. The techniques presented in Loop Tiling for Parallelism can be adapted to work for a cluster of workstations, and are also directly applicable to shared-memory machines once the machines are modeled as BSP (Bulk Synchronous Parallel) machines.
Features and key topics:
  • Detailed review of the mathematical foundations, including convex polyhedra and cones;
  • Self-contained treatment of nonsingular loop transformations, code generation, and full loop permutability;
  • Tiling loop nests by rectangles and parallelepipeds, including their mathematical definition, dependence analysis, legality test, and code generation;
  • A complete suite of techniques for generating SPMD code for a tiled loop nest;
  • Up-to-date results on tile size and shape selection for reducing communication and improving parallelism;
  • End-of-chapter references for further reading.
Researchers and practitioners involved in optimizing compilers and students in advanced computer architecture studies will find this a lucid and well-presented reference work with numerous citations to original sources.