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ITR/SY (Revolutionary Computing) Multipass Programming for Personal High-Performance Computing

ITR/SY (Revolutionary Computing) Multipass Programming for Personal High-Performance Computing
ITR/SY(革命性计算)个人高性能计算的多遍编程
批准号:
0113968
负责人:
John Hart
金额:
$48.97万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2001
资助国家:
美国
项目状态:
已结题
起止时间:
2001-09-01 至 2006-08-31

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中文摘要
翻译
图形处理器的性能超过了通用处理器的性能,实际上是增长曲线的立方体。最近已经证明,使用一种称为多遍编程的新技术,一些图形算法可以在图形处理器上以新的方式执行。多通道编程将图形处理器视为作用于存储在屏幕像素中的数据数组的SIMD处理器,每个操作都应用为图像处理通道。拟议的研究不仅将在图形界内,而且还将通过开发一种足以支持图形和非图形程序的通用多通道编程语言,将这一概念进一步扩展到科学计算和通用计算社区。将克服现有的数值范围和精度问题,并分析产生的数值实现的保真度。程序着色的多通道算法的工作将继续进行,多通道编程将应用于光能传递和基于物理的动画。多通道编程还将扩展到计算机图形学以外的应用,包括解线性系统、有限元方法和计算流体动力学。如果图形处理器继续以目前的速度增长,它们将在拟议的资助期结束时达到4万亿次浮点的性能。在这一增长期间,将开发一个编程技术和应用程序库,以利用这一未被开发的高性能计算能力来源。其结果将是更丰富的图形、更逼真的虚拟环境、更自然的模拟运动,以及在消费者级别的个人计算机上执行复杂的超级计算模拟的能力。
英文摘要
The performance of graphic processors is outpacing the performance of general processors, in fact cubing the growth curve. It has been recently shown that some graphics algorithms can be performed in new ways on the graphics processor, using a novel technique known as multipass programming. Multipass programming treats the graphics processor as a SIMD processor acting on a data array stored in the screen's pixels, with each operation applied as an image-processing pass. The proposed research will extend this concept further not only within the graphics community, but also for the scientific computing and general computing communities, by developing a multipass programming language general enough to support both graphical and non-graphical programs. Existing problems of numerical range and precision will be overcome, and the fidelity of the resulting numerical implementations analyzed.Work in multipass algorithms for procedural shading will be continued our, and multipass programming applied to radiosity and physically-based animation. Multipass programming will also be extended to applications outside of computer graphics, including solving linear systems, the finite element method and computational fluid dynamics.If graphics processors continue to grow at the current rate, they will attain a four teraflop performance at the end of the proposed funding period. During this growth period a library of programming techniques and applications that will harness this otherwise untapped source of high-performance computing power will be developed. The result will be richer graphics, more realistic virtual environments, more natural simulated motion, and the ability to perform sophisticated supercomputing simulations on consumer-level personal computers.
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