Support for GPGPU programming in partnership with NVIDIA.
与NVIDIA合作，对GPGPU编程的支持。
We've talked about the potential benefits of GPGPU computing on numerous occasions.
我们已经谈到了通用图形处理器计算多次潜在的好处。
The up side is that this can work fairly well, an advantage of a more general purpose GPGPU chip.
边上的是，这可以比较好，一个更通用的通用图形处理器芯片的优势。
Although there's still not enough useful GPGPU applications for average desktop users, the concept is quite promising.
虽然还是不够有用的普通用户的一般通用图形处理器的应用，这个概念是很有希望的。
The GPU functions appear to be bolted on to a GPGPU oriented 'generalist' chip, something strongly supported by the die size: performance ratio.
GPU的职能似乎被固定到一个通用图形处理器面向'多面手'芯片，强烈裸片尺寸：性能比支持的东西。
While GPGPU techniques are very popular nowadays for physics simulations, this code is currently still hard to share across various platforms or even hardware vendors.
虽然GPGPU技术是目前非常流行的物理模拟，此代码目前仍然很难份额在不同的平台，甚至硬件厂商。
Naturally, with the cost below $100, the chip will encourage software developers to optimize their applications for multi-core processors as well as GPGPU technologies.
当然，低于100美元的成本，该芯片将鼓励软件开发商优化多核心处理器，以及GPGPU技术的应用。
This paper summarizes the techniques of programmability, reliability and low power for GPU, and discusses the development trend of the CPU-GPGPU heterogeneous architecture.
本文综述了针对这一体系结构现有的可编程性技术、可靠性技术和低功耗技术，并结合这些技术展望了CPU -GPGPU这种异构系统的发展趋势。
This paper summarizes the techniques of programmability, reliability and low power for GPU, and discusses the development trend of the CPU-GPGPU heterogeneous architecture.
本文综述了针对这一体系结构现有的可编程性技术、可靠性技术和低功耗技术，并结合这些技术展望了CPU -GPGPU这种异构系统的发展趋势。
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