Name
Abstract | ||
|---|---|---|
Improving performance of computers at historical rates, as dictated by Moore's Law, is becoming increasingly more challenging especially because we are hitting the chip power-budget wall. But challenges usually direct us to focus on opportunities we have neglected in the past. I will focus on some of these overlooked opportunities in this talk. One such opportunity is to question what are meaningful performance goals for individual applications. I will present a resource management framework in which architectural resources are assigned to applications based on their performance requirements. The talk also covers some innovations that enable us to compute more power-efficiently by using memory resources more effectively by, for example, exploiting value locality. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.7873/DATE.2014.148 | DATE |
Field | DocType | ISSN |
Resource management,Data science,Locality,Computer science,Knowledge management,Real-time computing | Conference | 1530-1591 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Per Stenström | 1 | 3048 | 234.09 |