Name
Abstract | ||
|---|---|---|
This study examines the design of several novel specialized multicore neural processors. Systems based on SRAM cores and memristor devices were examined. Detailed circuit simulations were used to ensure that the systems could be compared accurately. Two types of memristor cores were examined: digital and analog cores. Novel circuits were designed for both of these memristor systems. Additionally full system evaluation of multicore processors based on these cores and specialized routing circuits were developed. Our results show that the memristor systems yield the highest throughput and lowest power. We compared these specialized systems to more traditional HPC systems. Two commodity high performance processors were examined: a six core Intel Xeon processor, and an NVIDIA Tesla M2070 GPGPU. Care was taken to ensure the code on each platform was very efficient (multi-threaded on the Xeon processor, and a high device utilization CUDA program on the GPGPU). Our results indicate that the specialized systems can be between two to five orders more energy efficient compared to the traditional HPC systems. Additionally the specialized cores take up much less die area - allowing in some cases a reduction from 179 Xeon six-core processor chips to 1 memristor based multicore chip and a corresponding reduction in power from 17 kW down to 0.07 W. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/IJCNN.2013.6707074 | Neural Networks |
Keywords | Field | DocType |
SRAM chips,energy conservation,memristors,multiprocessing systems,neural chips,parallel processing,HPC systems,NVIDIA Tesla M2070 GPGPU,SRAM cores,analog cores,circuit simulations,commodity high performance processors,digital cores,energy efficiency,memristor cores,memristor devices,power 0.07 W,power 17 kW,routing circuits,six core Intel Xeon processor,specialized multicore neural processors | Memristor,CUDA,Computer science,Parallel computing,Chip,Static random-access memory,General-purpose computing on graphics processing units,Xeon,Throughput,Multi-core processor | Conference |
ISSN | ISBN | Citations |
2161-4393 | 978-1-4673-6128-6 | 10 |
PageRank | References | Authors |
0.88 | 13 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tarek M. Taha | 1 | 280 | 32.89 |
| Raqibul Hasan | 2 | 76 | 8.74 |
| Chris Yakopcic | 3 | 140 | 13.10 |
| Mark R. McLean | 4 | 10 | 0.88 |