Name
Abstract | ||
|---|---|---|
The recent push for post-Moore computer architectures has introduced a wide variety of application-specific accelerators. One particular accelerator, the resistance network analogue, has been well received due to its ability to efficiently solve partial differential equations by eliminating the iterative stages required by todayu0027s numerical solvers. However, in the ago of programmable integrated circuits, the static nature of the resistance network analogue, and other analog mesh computers like it, has relegated it to an academic curiosity. Recent developments in materials, such as the memristor, have made the resistance network analogue viable for inclusion in future heterogeneous computer architectures. However, selection of an appropriate sized mesh to be incorporated into a computer system requires that energy-quality trade-offs are made regarding the problem size and required resolution of the solution. This paper provides an in-depth study of the scaling of analog mesh computer hardware, from the perspective of energy per bit and required resolution, introduces a metric to aid in quantifying analog mesh computers with different parameters, and introduces a method of virtualization which enables an analog mesh computer of a fixed size to approximate the calculations of a larger-sized mesh. |
Year | Venue | Field |
|---|---|---|
2018 | arXiv: Emerging Technologies | Virtualization,Memristor,Energy quality,Computer science,Electronic engineering,Computational science,Partial differential equation,Scaling,Integrated circuit |
DocType | Volume | Citations |
Journal | abs/1804.02389 | 0 |
PageRank | References | Authors |
0.34 | 5 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jeff Anderson | 1 | 23 | 4.05 |
| Engin Kayraklioglu | 2 | 6 | 3.86 |
| Vikram K. Narayana | 3 | 102 | 13.18 |
| J Sorger | 4 | 78 | 9.98 |
| tarek elghazawi | 5 | 697 | 84.30 |