行进记忆(MM)简介

Tadao Nakamura
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引用次数: 0

摘要

今天的计算机系统有一个“大问题”,那就是所谓的内存瓶颈,特别是随着纳米技术的发展,它们的规模逐年增长,向用于科学计算和神经网络深度学习的exa级超级计算发展。为了解决这一问题,我们必须回到计算机系统设计的原点,追求计算机系统中的存储器应该是什么样子。我们正在开发行军存储器(MM),并可以展示其功能如何在合理的条件下适合解决方案,例如比SRAM更高的速度,无延迟,更低的功耗。
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An Introduction to Marching Memory (MM)
Today's computer systems rather have a “big issue,” which is what is called the memory bottleneck, especially as their scale has been growing with nanotechnology year by year toward EXA-scale supercomputing for scientific calculations and deep learning in neural-networking. To solve the issue, we must be back to the origin of computer system design pursuing what memory in computer systems should be. We are developing Marching Memory (MM), and can show how the features of it suit the solution with reasonable conditions such as higher speed with no latency under lower power consumption than SRAM.
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