Target-specific code generation and scalable interfaces for high-performance computing

计算机仿真在现代科学和工程中已经无处不在。计算机模拟被用来模拟从洋流到原子相互作用的各种问题。随着特殊处理器的出现，计算机硬件正在发生重大变化，这种处理器比前几代处理器强大得多，成本低，耗能少。这些新处理器的一个共同特点是它们可以在单个芯片上以大规模并行的方式执行计算。然而，为了利用这些高功率、低成本的处理器，需要改变科学计算机程序的创建方式。本研究旨在通过开发从简单的高级输入自动创建计算机程序的技术，帮助研究人员使用这种新硬件。有了这项技术，研究人员将能够以最小的错误快速创建新的计算机程序，并且这些程序将针对今天的新硬件进行优化。这将加速许多领域的研究，并通过模拟产生新的科学见解。随着计算机硬件在未来的发展，研究人员可以简单地为新一代的硬件重新生成计算机程序。

Computer simulation has become ubiquitous in modern science and engineering. Computer simulations are used to model problems from ocean currents to atomic interactions. A significant change is under way in computer hardware with the arrival of special processors which are far more powerful than previous generations, are low cost and use less energy. A common feature of these new processors is that they can perform computations in a massively parallel fashion on a single chip. However, to exploit these high power, low cost processors, changes are needed in the way that computer programs for science are created. This research aims to assist researchers in using this new hardware by developing the technology to create computer programs automatically from simple, high-level input. With this technology, researchers will be able to create new computer programs rapidly and with a minimum of errors, and the programs will be optimised for the new hardware of today. This will accelerate research in many fields, and lead to new scientific insights through simulation. As computer hardware evolves in the future, researchers can simply re-generate their computer programs for new generations of hardware.