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。
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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