EMT/NANO: Computing with Protein Based Associative Memory Processors

EMT jNANO：基于蛋白质的联想存储处理器的计算摘要：新的体系结构和更具成本效益的小型化的前景已经引起了人们对分子计算的兴趣。一种这样的架构是基于使用适当蛋白质的联想记忆处理器的开发。这种架构的原型目前被用于指纹识别和图像匹配等应用。基于蛋白质的联想存储处理器(PBAMP)的商业成功和未来发展在很大程度上取决于扩大成功应用的领域。没有对这些处理器的能力和局限性进行系统的研究，特别是在数字计算机方面。在这个项目中，研究人员进行了这项研究。目前的计算算法在一定程度上受到缺乏最佳内存架构的限制。虽然串行存储器已经得到了高度优化，但提供关联访问的存储器都很昂贵，而且只提供有限的数据存储容量。基于蛋白质的存储体系结构既提供大规模(三维)存储，也提供关联处理。细菌视紫红质蛋白以其独特的光激活光周期、纳米尺寸和对恶劣环境条件的天然抵抗力，提供了基于蛋白质的记忆，相对于磁和光数据存储设备具有相对优势。基于蛋白质的记忆矩阵具有可重复使用和环保的特点。此外，细菌视紫红质蛋白表现出更高的热稳定性、化学稳定性和光致变色稳定性。蛋白质存储设备能够在小容量的存储介质中存储大量数据(1011-1013位)。以细菌视紫红质为基础的存储介质是便携式的、抗辐射的、防水的和抗电磁脉冲的。在这个项目中，还将在优化基于蛋白质的记忆方面取得进展。

EMT jNANO: Computing with Protein-Based Associative Memory ProcessorsAbstract: The promise of new architectures and more cost-effective miniaturization has prompted interest in molecular computing. One such architecture is based on the development of associative memory processors using appropriate proteins. Prototypes of this architecture are currently in use for applications such as fingerprinting and image matching. The.commercial success and future development of protein-based associative memory processors (PBAMPs) hinges, to a large part, on expanding the realm of successful applications. No systematic study of the capabilities and limitations of these processors has been conducted especially in relation to the digital computers. In this project the investigators take up this study.Present day computational algorithms are limited in part by the lack of optimal memory architectures. While serial memories have been highly optimized, memories which provide associative access are both expensive and provide only modest data storage capacity. Protein¬based memory architectures provide for both large scale (three-dimensional) storage as well as associative processing. The bacteriorhodopsin protein with its unique light-activated photocycle, nanoscale size, and natural resistance to harsh environmental conditions, provides for protein-based memories that have a comparative advantage over magnetic and optical data storage devices. Protein based memory matrices are reusable and eco-friendly. In addition, the bacteriorhodopsin protein exhibits increased thermal, chemical and photochromic stability. Protein storage devices are capable of storing large amounts of data (1011_1013 bits) in a small volume of the memory medium. Bacteriorhodopsin-based storage media are portable, radiation-hardened, waterproof, and EMP-resistant. In this project advances will be made in optimizing protein based memories as well.