| Algorithms for Memory Hierarchies: Advanced Lectures 2003 Edition Contributor(s): Meyer, Ulrich (Editor), Sanders, Peter (Editor), Sibeyn, Jop (Editor) |
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ISBN: 3540008837 ISBN-13: 9783540008835 Publisher: Springer OUR PRICE: $52.24 Product Type: Paperback - Other Formats Published: April 2003 Annotation: Algorithms that have to process large data sets have to take into account that the cost of memory access depends on where the data is stored. Traditional algorithm design is based on the von Neumann model where accesses to memory have uniform cost. Actual machines increasingly deviate from this model: while waiting for memory access, nowadays, microprocessors can in principle execute 1000 additions of registers; for hard disk access this factor can reach six orders of magnitude. The 16 coherent chapters in this monograph-like tutorial book introduce and survey algorithmic techniques used to achieve high performance on memory hierarchies; emphasis is placed on methods interesting from a theoretical as well as important from a practical point of view. |
| Additional Information |
| BISAC Categories: - Computers | Software Development & Engineering - General - Medical - Computers | Intelligence (ai) & Semantics |
| Dewey: 005.1 |
| LCCN: 2003045496 |
| Series: Lecture Notes in Computer Science |
| Physical Information: 0.91" H x 6" W x 9" (1.32 lbs) 429 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description:
Algorithms that have to process large data sets have to take into account that the cost of memory access depends on where the data is stored. Traditional algorithm design is based on the von Neumann model where accesses to memory have uniform cost. Actual machines increasingly deviate from this model: while waiting for memory access, nowadays, microprocessors can in principle execute 1000 additions of registers; for hard disk access this factor can reach six orders of magnitude. The 16 coherent chapters in this monograph-like tutorial book introduce and survey algorithmic techniques used to achieve high performance on memory hierarchies; emphasis is placed on methods interesting from a theoretical as well as important from a practical point of view. |