Although this approach can achieve very good performance, it raises serious portability issues: programmers are required to write a specific version of code for ...
In this paper, we propose MapCG, a MapReduce framework to provide source code level portability between CPU and GPU. Different from OpenCL, our framework is ...
In this paper, we propose MapCG, a MapReduce frame- work to provide source code level portability between CPU and GPU. Different from OpenCL, our framework is ...
In this paper, we propose MapCG, a MapReduce frame- work to provide source code level portability between CPU and GPU. Different from OpenCL, our framework is ...
We describe the design of the MapReduce-based high-level programming language and the underlying runtime system to enable portability between CPU and GPU. A ...
In this paper, we propose MapCG, a MapReduce framework to provide source code level portability between CPUs and GPUs. In contrast to other approaches such as ...
We describe the design of MapCG, including the MapReduce-style high-level programming framework and the runtime system on the CPU and GPU. A prototype of the ...
People also ask
Does GPU allow parallel processing?
How is GPU parallel processing compared to CPU?
What is parallel computing in graphics processing units GPU architecture applications of GPU parallelism?
What is the difference between CPU and GPU in machine learning?
MapCG: writing parallel program portable between CPU and GPU · Chuntao HONG. 2010 ; A mapping path for multi-GPGPU accelerated computers from a portable high ...
Jan 9, 2012 · We describe the design of MapCG, including the MapReduce-style high-level programming framework and the runtime system on the CPU and GPU. A ...
In this paper, we propose MapCG, a MapReduce framework to provide source code level portability between CPUs and GPUs. In contrast to other approaches such as ...