SHF: Small: Collaborative Research: High-performance hybrid micromagnetic-electromagnetic simulators for memory and high-performance data storage devices

数据是数字革命的核心。不断变化的工作习惯、日益严格的电子记录保存要求以及医疗保健、能源和零售行业的发展都表明，在可预见的未来，对数据存储和内存的需求将不断增长。快速、低功耗、超高密度和非易失性的磁性存储和记忆系统预计将在未来几十年内满足全球大部分数据存储需求，并在此过程中产生革命性的数据密集型计算模式。然而，它们的及时发展严重依赖于能够在完整的磁数据存储和存储系统中模拟电磁场和磁化动力学的快速准确的计算工具的可用性。不幸的是，目前的模拟器还不能胜任这项任务。本研究的重点是开发高性能混合微磁-电磁模拟器，用于下一代磁存储和数据存储系统的建模。仿真器利用解析预条件时域积分方程方法来求解控制耦合电磁场和磁化现象的Maxwell方程和Landau-Lifshitz-Gilbert-Slonczewski方程。为了便于在涉及数十亿自由度的复杂系统中分析此类现象，模拟器在大规模并行的中央处理器（CPU）和图形处理单元（GPU）计算机上实现。这些模拟器用于设计下一代磁性随机存储设备以及位模式介质和热辅助磁记录存储系统。这种先进的内存和存储系统对未来的高性能计算系统至关重要。

Data is at the heart of the digital revolution. Changing work habits, increasingly stringent electronic record-keeping mandates, and developments in the health care, energy, and retail sectors all suggest a growing demand for data storage and memories for the foreseeable future. Fast, low-power, ultra-high density, and non-volatile magnetic storage and memory systems are projected to accommodate the bulk of the global data storage needs for decades to come and spawn revolutionary data-intensive computing modalities along the way. Their timely development, however, critically depends on the availability of fast and accurate computational tools capable of simulating electromagnetic field and magnetization dynamics in complete magnetic data storage and memory systems. Unfortunately, current simulators are not up to this task. This study focuses on the development of high-performance hybrid micro magnetic-electromagnetic simulators for modeling next-generation magnetic memory and data storage systems. The simulators leverage analytically preconditioned time-domain integral equation methods to solve the Maxwell and Landau-Lifshitz-Gilbert-Slonczewski equations, which govern coupled electromagnetic field and magnetization phenomena. To facilitate the analysis of such phenomena in complex systems involving billions of degrees of freedom, the simulators are implemented on massively parallel Central Processing Unit (CPU) and Graphics Processing Unit (GPU) computers. These simulators are used for the design of next generation magnetic random memory devices as well as bit patterned media and heat-assisted magnetic recording storage systems. Such advanced memory and storage systems are to be essential to future high-performance computing systems.