There are a number of emerging architecture platforms (e.g., quantum, neuromorphic, optical, etc.) on the horizon that are better aligned with emerging application needs and have the potential to significantly accelerate performance, efficiency, and cost, while reducing power consumption. These next-generation computing paradigms deserve our vigilant attention.
The drive to improve current-generation conventional computing paradigms while preparing for next-generation computing paradigms is the foundation for the Science and Technology Directorate’s (S&T) research activities:
- Engineering and architectural analysis of specialized digital computing derivatives (e.g., parallel, distributed, edge, etc.) and special purpose chips (e.g., AI accelerators, graphics processing units, tensor processing units, etc.).
- Understanding the likely trajectory of relevant hardware and software technologies in next generation computing paradigms (e.g., quantum, neuromorphic, extreme parallelism, etc.) as well as preparing for experiments with these technologies.
S&T’s focus areas in emerging computing paradigms are:
- Ubiquitous Computing - We aim to enable tasks with aggressive performance requirements (e.g., simulation, AI, real-time control systems, etc.) to be performed anywhere—in the cloud, locally, or at the operational edge. We also aim to understand computing architectures and supercomputing advances that will enable DHS to leverage data for enhanced real-time decision making.
- Next-generation Computing Capabilities - We seek to examine developments in computing and potential applications for DHS use cases.
News
- Blog: Big Promise from the Very Small
- Technologically Speaking Podcast: It’s Going to Be World Changing
Contact
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