Name
Abstract | ||
|---|---|---|
The call for efficient computer architectures has introduced a variety of application-specific compute engines to the heterogeneous computing landscape. One particular engine, the analog mesh computer, has been well received due to its ability to efficiently solve partial differential equations by eliminating the iterative stages common to numerical solvers. This article introduces an implementation of adaptive mesh refinement for analog mesh computers, which reduces the energy expended during high-resolution computations of partial differential equations. Results show a larger than 30% reduction in energy expended per computation while reducing precision by less than 5%, making it ideal for green computing systems. |
Year | Venue | Field |
|---|---|---|
2018 | arXiv: Numerical Analysis | Mathematical optimization,Green computing,Symmetric multiprocessor system,Adaptive mesh refinement,Computational science,Partial differential equation,Mathematics,Computation |
DocType | Volume | Citations |
Journal | abs/1804.10110 | 0 |
PageRank | References | Authors |
0.34 | 2 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jeff Anderson | 1 | 23 | 4.05 |
| Engin Kayraklioglu | 2 | 6 | 3.86 |
| J Sorger | 3 | 78 | 9.98 |
| tarek elghazawi | 4 | 697 | 84.30 |