DE Icaza remarked that the perceived quality of a 1080p HD video rendered by Moonlight on the GPU was 「absolutely perfect.」
deIcaza说由Moonlight在GPU上所渲染的1080pHD视频质量是「相当完美的」。
GPU acceleration and hardware compositing.
GPU加速和硬件合成。
The main addition to version 2.0 is support for Mono which enables deploying GPU applications on Linux and Mac OS X.
0版主要增加了对Mono的支持,可以在Linux与MacOSX上部署GPU应用。
This might sound simple, but there are a lot of design decisions around making sure that GPU memory is not allocated without the user asking for it and still allowing people to build what they want.
这听起来貌似很简单,但是这背后有着大量的设计决定以确保GPU内存没有分配给不需要之人,且仍然能够允许人们构造他们之所想。
Multiple NPN240s can be linked to single or multiple hosts to create multi-node CUDA GPU clusters capable of thousands of GFLOPS.
多个NPN240处理器可以链接到一个或多个主机,建立多节点CUDAGPU集群,峰值可达数千gflops。
The IPN250 combines a single GT240 96-core CUDA GPU with an Intel Core2 Duo host processor operating at 2.26GHz and 8 GBytes of DDR3 SDRAM to deliver up to 390 GFLOPS of performance per card slot.
IPN250结合了一个GT240 96核心CUDAGPU,英特尔酷睿2.26GHz双核处理器和8G DDR3SDRAM,可以提供每卡高达390GFLOPS的运算性能。
Hardware Decode & Presentation of H.264 performance improvements using GPU support
使用GPU的支持对硬件解码和H.264展现性能的提升。
Any GPU device has a device driver, so targeting it makes more sense than generating CUDA or OpenCL code which would require from users to install other SDKs.
所有GPU设备都有设备驱动,因此针对它来编程更合理,这样会比生成CUDA或者OpenGL的代码更好,因为那还需要用户安装其它的SDK。
This GPU support translates directly into improved readability of pages, more precise placement of text and images, and smooth scrolling and zooming.
这种GPU支持可以提升页面的可读性、更精準地定位文本与图片、改进平滑滚动和缩放。
Making GPU Computing a standard.
让GPU计算成为标準。
Finally, one major new kernel feature is support for GPU switching support.
最后,内核的一项主要的新功能即增加了对GPU切换的支持。
But perhaps the most intriguing possibilities for Fusion and gaming lie in the combination of an APU and a GPU that are designed to work together.
不过也许Fusion技术和游戏之间最令人感兴趣的可能性在于将专门设计为协同工作的APU和GPU组合起来。
These native applications make use of the CPU and GPU to draw the animations and can be connected to any data type through LiveBindings.
这些原生应用利用CPU与GPU来绘制动画,并且可以通过LiveBindings与任意数据类型进行连接。
Allows the same filter to run efficiently on different GPU and CPU architectures, including multi-core and multiprocessor systems.
同样的过滤器可以在不同的GPU和CPU架构上高效运行,包括多核与多处理器系统。
Amazon is offering a Cluster GPU instance for those who need a HPC platform but cannot afford one or do not want to support the initial cost of setting up one.
Amazon提供的这个集群GPU实例主要面向那些需要HPC平台但却承担不起高额费用或是不想花钱自己搭建的那些用户。