A performance comparison of CUDA and OpenCL. arXiv preprint (2010) arXiv:10052581. 2010.Kamran Karimi, Neil G. Dickson, and Firas Hamze. A performance comparison of CUDA and OpenCL. May 2011.K. Karimi, N. G. Dickson, and F. Hamze, "A performance comparison of CUDA and OpenCL," in...
CUDA和OpenCL也拥有相似的特性,都拥有runtime API和library API,但具体环境下的创建和复制API是不同的,并且OpenCL可以通过平台层查询设备的信息;CUDA的kernel可以直接通过NVIDIA 驱动执行,而OpenCL的kernel必须通过OpenCL驱动,但这样可能影响到性能。因为OpenCL毕竟是一个开源的标准,为了适应不同的CPU、GPU和设备都能够...
CUDA是英伟达推出的为GPU增加的一个易用的编程接口。 OpenCL(Open Computing Language)是异构平台并行编程的开放标准,也是一个编程框架。相比CUDA支持的平台更多,除了GPU还支持CPU、DSP、FPGA等设备。 GPU编程的基本思想和基本操作 以CUDA为例,介绍GPU编程的基本思想和基本操作。 设备端(device): 一般指GPU 一个CUDA...
进而获得异构加速器所带来 的加速效果.OpenACC与CUDA和OpenCL这类异构并行编程技术的不同之处在于,它的目的是使编程者在应用移植过程中不需要考虑加速器或协处理 ... J Ni,D, Ph 被引量: 2发表: 2009年 CUDA and OpenCL API comparison CUDA and OpenCL API comparis...
While the OpenCL standard [14] provides a unified abstraction for conceptualizing widely divergent hardware architectures, performance portability remains a difficult problem, both between contemporary competing architectures available today, as well as between today’s architectures and those of the future....
However, current compiler optimizations are not sufficient to translate performance from a single expression of the program onto a wide variety of different architectures. To achieve true performance portability, an open standard like OpenCL needs to be augmented with automatic high-leveloptimization and...
图16 OpenCL架构的平台模型 图17 OpenCL内存模型 图18 OpenCL执行模型 图19 OpenCL与CUDA芯片结构 图20 CUDA与OpenCL存储模型 图21 CUDA与OpenCL应用框架 图22 the performance for OpenCL and CUDA in NVIDIA GTX 285 图23 the runtime for OpenCL and CUDA in NVIDIA GTX 285 ...
I have read that comparisons and branching is slow on GPU. I would like to know how much. (I'm familier with OpenCL, but the question is general also for CUDA, AMP ... ) I would like to know it, before I start to port my code to GPU. In particular I'm interested in finding...
7.2. OpenCL OpenCL is a trademark of Apple Inc. used under license to the Khronos Group Inc. 7.3. Trademarks NVIDIA and the NVIDIA logo are trademarks or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks...
Furthermore, CUDA-core GPUs also support graphical APIs such as Direct3D, OpenGL, and programming frameworks such as OpenCL and OpenMP. Also Read: NVIDIA CUDA Cores Explained: How Are They Different? Where do we use CUDA Cores? Enterprises and individuals use CUDA cores for real-time ...