The Future of Compute: How the Data Transformation is Reshaping VLSI

M. Mayberry
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Abstract

The digital transformation continues to gain momentum, as businesses offer consumers increasingly distributed services, and industry pursues improvements across the extent of the electronics ecosystem. This transformation is characterized by continued strong demand for compute at all points in the network - at the core, the edge, and at the endpoints. Data continues to grow at an exponential rate and not only drives the compute requirements, but also requires efficient solutions for movement and storage of data that is critical for overall performance. From device to cloud, new applications and use cases are continuously emerging. This transformation demands that we adapt our thinking and move from a hardware/program centric to a data/information centric approach, and to embrace new ways to compute. To keep pace in this dynamic environment, Moore's Law and its impact have become more relevant than ever. The continued scaling of dimensions, materials and devices drives a renewed focus on the fundamental physics of devices and materials, while novel architecture schemes and system design innovation motivate a more comprehensive understanding of large-scale integration at all levels of the system.
计算的未来:数据转换如何重塑VLSI
随着企业为消费者提供越来越多的分布式服务,以及行业在整个电子生态系统范围内追求改进,数字化转型继续获得动力。这种转变的特点是对网络中所有点(核心、边缘和端点)的计算需求持续强劲。数据继续以指数速度增长,不仅推动了计算需求,而且还需要有效的解决方案来移动和存储数据,这对整体性能至关重要。从设备到云,新的应用程序和用例不断涌现。这种转变要求我们调整思路,从以硬件/程序为中心转向以数据/信息为中心的方法,并采用新的计算方法。为了跟上这个动态环境的步伐,摩尔定律及其影响变得比以往任何时候都更加重要。尺寸,材料和设备的持续缩放推动了对设备和材料基础物理的重新关注,而新颖的架构方案和系统设计创新激发了对系统各级大规模集成的更全面的理解。
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