DNA Computing is still at its infant stage since its emergence. Multiple aspects of DNA computing have been studied but most of the research results have not been applied to the reality. It has been proved to exhibit high data storage density and support efficient random data access. It also shows the potential to provide alternative facilities for general computing. Especially, its natural double-helix structure enables it to be the best fit for high-throughput parallel computing. However, the underlying rationale of DNA computing is different from the existing electronic computing devices. Therefore, the popularity of DNA computing device is limited by its accessibility. We propose our designs for high-throughput DNA computing including DNA computing circuits, system architecture, and its compiler. We also demonstrate its feasibility using a simple example through simulation experiments. The objective of this framework is to bridge the gap between the existing computer developer community and the DNA computing biotechnology.

自从出现以来，DNA计算仍处于起步阶段。已经对DNA计算的多个方面进行了研究，但大多数研究结果尚未应用于现实。已经证明它具有很高的数据存储密度并支持有效的随机数据访问。它还显示了为通用计算提供替代功能的潜力。特别是，其自然的双螺旋结构使其最适合于高吞吐量并行计算。但是，DNA计算的基本原理与现有的电子计算设备不同。因此，DNA计算设备的普及受到其可访问性的限制。我们提出了用于高通量DNA计算的设计，包括DNA计算电路，系统架构及其编译器。我们还通过一个简单的示例通过仿真实验证明了它的可行性。该框架的目标是弥合现有计算机开发人员社区与DNA计算生物技术之间的鸿沟。