神经形态系统全方位协同设计的经验教训

C. Schuman, J. Plank, G. Rose, Maryam Parsa
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引用次数: 0

摘要

神经形态计算是一个广泛的跨学科领域,跨越了计算堆栈的各个层面,从应用程序和算法到设备和材料。当从头开始设计一个新的计算系统时,协同设计是关键。在这里,我们讨论了神经形态系统的不同类型的协同设计,我们特别提倡全方位的协同设计。最后,我们根据自己在神经形态计算领域的经验,讨论了执行全方位协同设计的建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Lessons Learned in Omnidirectional Co-Design of Neuromorphic Systems
Neuromorphic computing is a broad, interdisciplinary field that spans across all levels of the compute stack, from applications and algorithms to devices and materials. When designing a new computing system from the ground up, co-design is key. Here, we discuss different types of co-design for neuromorphic systems, and we advocate specifically for omnidirectional co-design. Finally, we discuss recommendations for performing omnidirectional co-design, based on our own experience in the realm of neuromorphic computing.
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