Interconnects for DNA, Quantum, In-Memory, and Optical Computing: Insights From a Panel Discussion
Interconnects for DNA, Quantum, In-Memory, and Optical Computing: Insights From a Panel Discussion
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DOI：
10.1109/mm.2022.3150684
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发表时间：
2022-05-01
期刊：
影响因子：
3.6
通讯作者：
Taskin, Baris
中科院分区：
文献类型：
--
作者：
Ganguly, Amlan;Abadal, Sergi;Taskin, Baris
计算世界正在见证一个众所周知的寒武纪爆发的新兴范式推动的应用程序，如人工智能，大数据和网络安全。在脱氧核糖核酸（DNA）链内存储数字数据、操纵量子位（qubit）、利用光子执行逻辑运算以及在存储器系统内执行计算的技术的最新进展正在迎来DNA计算、量子计算、光学计算和存储器内计算的新兴范例的时代。在正交方向上，使用先进的电光，无线和微流体技术进行互连设计的研究已经显示出对传统冯诺依曼计算机的架构限制的有前途的解决方案。在这篇文章中，专家们提出了他们的意见，在新兴的计算模式中的互连的作用，并讨论了基于芯片的架构的异构集成等技术的潜在用途。
The computing world is witnessing a proverbial Cambrian explosion of emerging paradigms propelled by applications, such as artificial intelligence, big data, and cybersecurity. The recent advances in technology to store digital data inside a deoxyribonucleic acid (DNA) strand, manipulate quantum bits (qubits), perform logical operations with photons, and perform computations inside memory systems are ushering in the era of emerging paradigms of DNA computing, quantum computing, optical computing, and in-memory computing. In an orthogonal direction, research on interconnect design using advanced electro-optic, wireless, and microfluidic technologies has shown promising solutions to the architectural limitations of traditional von-Neumann computers. In this article, experts present their comments on the role of interconnects in the emerging computing paradigms, and discuss the potential use of chiplet-based architectures for the heterogeneous integration of such technologies.