Collaborative Research: Cross-Layer Exploration of Non-Volatile Solid-State Memories to Achieve Effective I/O Stack for High-Performance Computing Systems
Collaborative Research: Cross-Layer Exploration of Non-Volatile Solid-State Memories to Achieve Effective I/O Stack for High-Performance Computing Systems
批准号:
0937794
负责人:
Tong Zhang
金额:
$29.45万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-09-15 至 2012-08-31
中文摘要
这项研究的目标是开发从设备、电路、体系结构和系统角度跨I/O层次结构利用固态存储器技术的技术,以开发其在高性能计算系统中提高I/O堆栈性能的真正潜力。将开发I/O友好的存储系统体系结构,以实现混合处理器-存储器3D集成,同时大大减少芯片外I/O流量。将开发自适应缓存管理和热点预测方法以解决固态驱动器的低随机写入性能,并将开发数据处理技术以实现固态驱动器性能特性之间的运行时可配置权衡。将开发一个全面的全系统模拟基础设施,以在不同的高性能计算工作负载下评估和演示研究。该研究将促进高性能计算系统最有效地利用现有/新兴的内存和处理技术,以应对I/O堆栈设计的巨大挑战。它可以极大地帮助高性能计算系统保持其历史性的规模,从而使许多现实生活中的应用程序受益,如生物、化学、地球科学、医疗保健等。该项目还将通过吸引代表不足的群体、为教育和培训传播研究基础设施以及向高中生推广,为社会做出贡献。
英文摘要
The objective of this research is to develop techniques that utilize solid-state memory technologies from device, circuit, architecture, and system perspectives across I/O hierarchy in order to exploit their true potential for improving I/O stack performance in high-performance computing systems. I/O friendly memory system architectures will be developed to enable hybrid processor-memory 3D integrations with largely reduced off-chip I/O traffic. Adaptive cache management and hotspot prediction methods will be developed to address the low random write performance of solid-state drives, and data processing techniques will be developed to enable run-time configurable trade-offs among solid-state drive performance characteristics. A comprehensive full-system simulation infrastructure will be developed to evaluate and demonstrate the research under diverse high-performance computing workloads.The research will facilitate the high-performance computing systems to most effectively utilize existing/emerging memory and processing technologies to tackle the grand I/O stack design challenge. It can greatly contribute to enabling high-performance computing systems to stay on track of their historic scaling, and hence benefit numerous real-life applications such as biology, chemistry, earth science, health care, etc. This project will also contribute to the society through engaging under-represented groups, research infrastructure dissemination for education and training, and outreach to high school students.
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