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SpaceCubeX: A framework for evaluating hybrid multi-core CPU/FPGA/DSP architectures
| Content Provider | Semantic Scholar |
|---|---|
| Author | Schmidt, Andrew G. Weisz, Gabriel French, Matthew Flatley, Thomas P. Villalpando, Carlos Y. |
| Copyright Year | 2017 |
| Abstract | The SpaceCubeX project is motivated by the need for high performance, modular, and scalable on-board processing to help scientists answer critical 21st century questions about global climate change, air quality, ocean health, and ecosystem dynamics, while adding new capabilities such as low-latency data products for extreme event warnings. These goals translate into on-board processing throughput requirements that are on the order of 100–1,000x more than those of previous Earth Science missions for standard processing, compression, storage, and downhnk operations. To study possible future architectures to achieve these performance requirements, the SpaceCubeX project provides an evolvable testbed and framework that enables a focused design space exploration of candidate hybrid CPU/FPGA/DSP processing architectures. The framework includes ArchGen, an architecture generator tool populated with candidate architecture components, performance models, and IP cores, that allows an end user to specify the type, number, and connectivity of a hybrid architecture. The framework requires minimal extensions to integrate new processors, such as the anticipated High Performance Spaceflight Computer (HPSC), reducing time to initiate benchmarking by months. To evaluate the framework, we leverage a wide suite of high performance embedded computing benchmarks and Earth science scenarios to ensure robust architecture characterization. We report on our projects Year 1 efforts and demonstrate the capabihties across four simulation testbed models, a baseline SpaceCube 2.0 system, a dual ARM A9 processor system, a hybrid quad ARM A53 and FPGA system, and a hybrid quad ARM A53 and DSP system. |
| Starting Page | 1 |
| Ending Page | 10 |
| Page Count | 10 |
| File Format | PDF HTM / HTML |
| DOI | 10.1109/aero.2017.7943876 |
| Alternate Webpage(s) | https://ntrs.nasa.gov/archive/nasa/casi.ntrs.nasa.gov/20170002013.pdf |
| Alternate Webpage(s) | http://www.gabeweisz.com/spacecubex_ieee_aero_2017.pdf |
| Alternate Webpage(s) | http://hdl.handle.net/2060/20170002013 |
| Alternate Webpage(s) | https://doi.org/10.1109/aero.2017.7943876 |
| Journal | 2017 IEEE Aerospace Conference |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
