Name
Title | ||
|---|---|---|
Architectural Requirements for Energy Efficient Execution of Graph Analytics Applications |
Abstract | ||
|---|---|---|
Intelligent data analysis has become more important in the last decade especially because of the significant increase in the size and availability of data. In this paper, we focus on the common execution models and characteristics of iterative graph analytics applications. We show that the features that improve work efficiency can lead to significant overheads on existing systems. We identify the opportunities for custom hardware implementation, and outline the desired architectural features for energy efficient computation of graph analytics applications.
|
Year | Venue | Field |
|---|---|---|
2015 | International Conference on Computer-Aided Design | Convergence (routing),Computer science,Efficient energy use,Energy harvesting,Real-time computing,Graph analytics,Throughput,Artificial neural network,Benchmark (computing),Overhead (business) |
DocType | ISSN | ISBN |
Conference | 1933-7760 | 978-1-4673-8389-9 |
Citations | PageRank | References |
3 | 0.48 | 4 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Muhammet Mustafa Ozdal | 1 | 313 | 23.18 |
| Serif Yesil | 2 | 5 | 0.93 |
| Taemn Kim | 3 | 382 | 28.18 |
| Andrey Ayupov | 4 | 112 | 7.12 |
| Steven M. Burns | 5 | 563 | 104.03 |
| Ozcan Ozturk | 6 | 112 | 15.25 |