在没有OpenCL的情况下对Intel IGP(例如Iris Pro 5200)硬件进行编程 [英] Programming Intel IGP (e.g. Iris Pro 5200) hardware without OpenCL

问题描述

台式机i7-4770k @ 4GHz内核的峰值GFLOPS为4GHz * 8(AVX)*(4 FMA)* 4内核=

The Peak GFLOPS of the the cores for the Desktop i7-4770k @ 4GHz is 4GHz * 8 (AVX) * (4 FMA) * 4 cores = 512 GFLOPS. But the latest Intel IGP (Iris Pro 5100/5200) has a peak of over 800 GFLOPS. Some algorithms will therefore run even faster on the IGP. Combining the cores with the IGP together would even be better. Additionally, the IGP keeps eating up more silicon. The Iris Pro 5100 takes up over 30% of the silicon now. It seems clear which direction Intel desktop processors are headed.

据我所知，除OpenCL/OpenGL之外，程序员大多忽略了Intel IGP.我很好奇，想知道如何在没有OpenCL的情况下可以对Intel HD Graphics硬件进行编程以进行计算(例如SGEMM)?

As far as I have seen the Intel IGP, however, is mostly ignored by programmers with the exception of OpenCL/OpenGL. I'm curious to know how one can program the Intel HD Graphics hardware for compute (e.g. SGEMM) without OpenCL?

添加了评论: 他们不是英特尔对Linux上的高清图形和OpenCL的支持.我发现 beignet 这是一种开源尝试，至少为Ivy添加了对Linux的支持桥接高清图形.我还没有尝试过.当时开发Beignet的人大概知道如何在不使用OpenCL的情况下对HD图形硬件进行编程.

Added comment: Their is no Intel support for HD graphics and OpenCL on Linux. I found beignet which is open source attempt to add support to Linux at least for Ivy Bridge HD graphics. I have not tried it. Probably the people developing Beignet know how to program the HD graphics hardware without OpenCL then.

推荐答案

请记住，将数据复制到视频卡上并返回存在性能上的问题，因此必须考虑到这一点. AMD即将发布具有相同内存的APU芯片，它们在同一芯片上具有CPU和GPU的统一内存，这将大大缓解这一问题.

Keep in mind that there is a performance hit to copy the data to the video card and back, so this must be taken into account. AMD is close to releasing APU chips that have unified memory for the CPU and GPU on the same die, which will go a long way towards alleviating this problem.

GPU在CUDA和OpenCL之前用来表示要使用DirectX或OpenGL作为纹理进行操作的内存的方式.谢天谢地，我们不必再这样做了！

The way the GPU used to be utilized before CUDA and OpenCL were to represent the memory to be operated on as a texture utilizing DirectX or OpenGL. Thank goodness we don't have to do that anymore!

AMD确实在推动APU/OpenCL模型，因此，如果存在性能折衷的话，更多程序应通过OpenCL利用GPU.当前，GPU计算在高性能市场或数字紧缩市场中只是一个小众市场，而Web浏览和文字处理并不需要它们.

AMD is really pushing the APU / OpenCL model, so more programs should take advantage of the GPU via OpenCL - if the performance trade off is there. Currently, GPU computing is a bit of a niche market relegated to high performance computing or number crunching that just isn't needed for web browsing and word processing.

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