机器智能通过3D晶圆级集成

Arvind Kumar, W. Wilcke
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引用次数: 0

摘要

将计算系统带入机器智能阶段将需要在处理、内存和互连方面进行大规模扩展,因此电子系统的设计方式将发生重大变化。由于不适合企业计算的严格要求,长期被忽视的3D晶圆级集成提供了一个有前途的扩展路径,这在很大程度上是由于许多认知算法的容错特性。这项工作更详细地探索了这一扩展路径,调用一个简单的大脑连接模型来检查3D晶圆级集成的潜力,以满足机器智能苛刻的互连要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Machine intelligence through 3D waferscale integration
Bringing computing systems to the stage of Machine Intelligence will require a massive scaling in processing, memory, and interconnectivity, and thus a major change in how electronic systems are designed. Long overlooked because of its unsuitability for the exacting demands of enterprise computing, 3D waferscale integration offers a promising scaling path, due in large part to the fault-tolerant nature of many cognitive algorithms. This work explores this scaling path in greater detail, invoking a simple model of brain connectivity to examine the potential for 3D waferscale integration to meet the demanding interconnectivity requirements of Machine Intelligence.
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