Next Generation Software: A Framework For Developing Complex Applications On High-End Petaflop-Class Machines

0103723-特拉华大学Guang R. Gao在高端千万亿次浮点级计算机上开发复杂应用程序的框架本研究提出开发新的软件技术，以支持在下一代高性能计算机上设计和实现复杂应用程序，如IBM Blue Gene机，ASCI计划的千万亿次浮点级系统，以及NSF千万亿次浮点运算器点设计研究中提出的体系结构。未来的高性能计算机，如这些计算机，将有大量的处理器（从几千到几十万，甚至更多），以及复杂的多级存储器层次结构，其中存储器物理上分布在机器的不同部分。 为了有效地使用这样的机器，必须在用户程序中暴露大量的并行性，并且必须仔细注意访问不同级别的内存层次结构的延迟和带宽。 这些高端机器所支持的应用程序也将比过去的应用程序更加复杂和动态。 因此，在下一代高端计算机上支持此类应用程序的开发是一项重大的软件挑战。

0103723-University of Delaware-Guang R. Gao A Framework for Developing Complex Applications On High-End Petaflop-Class MachinesThis research proposes to develop novel software technologies for supporting the design and implementation of complex applications on next-generation high-performance computers such as the IBM Blue Gene machine, the teraflop-class systems of the ASCI program, and the architecture (s) proposed in the NSF peta-flops point-design studies.Future high-performance computers such as these will have large numbers of processors (from a few thousand to several hundred thousands, or even more), and a complex multilevel memory hierarchy with memories physically distributed across different parts of the machine. To use such machines effectively, enormous amounts of parallelism must be exposed in user programs, and careful attention must be paid to the latency and bandwidth of access to different levels of the memory hierarchy. The applications enabled by such high-end machines are also expected to be significantly more complex and dynamic than applications in the past. Therefore, supporting the development of such applications on next-generation high-end computers is a major software challenge.