Name
Abstract | ||
|---|---|---|
An important problem in extracting maximum benefits from an SDRAM-based architecture is to exploit data locality at the page granularity. Frequent switches between data pages can increase memory latency and have an impact on energy consumption. In this paper, we propose a mathematical formulation, using Presburger arithmetic and Ehrhart polynomials to estimate the number of page breaks statically (i.e., at compile time). The results obtained using video codes indicate that the proposed framework can estimate the number of page breaks with good accuracy. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1145/871506.871520 | ISLPED |
Keywords | Field | DocType |
data layout optimizations,data page,energy consumption,page granularity,sdram-based architecture,presburger arithmetic,page break,good accuracy,data locality,estimating influence,frequent switch,ehrhart polynomial,sdram energy consumption,energy,memory latency,low power electronics | Page break,Locality,Ehrhart polynomial,Computer science,Compile time,Parallel computing,Electronic engineering,Real-time computing,Presburger arithmetic,Granularity,Energy consumption,CAS latency | Conference |
ISBN | Citations | PageRank |
1-58113-682-X | 7 | 0.61 |
References | Authors | |
4 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| h s kim | 1 | 16 | 1.69 |
| Narayanan Vijaykrishnan | 2 | 6955 | 524.60 |
| Mahmut T. Kandemir | 3 | 7371 | 568.54 |
| E. Brockmeyer | 4 | 321 | 16.32 |
| F. Catthoor | 5 | 897 | 83.95 |
| Mary Jane Irwin | 6 | 5185 | 605.00 |