GPUs: High-performance Accelerators for Parallel Applications: The multicore transformation (Ubiquity symposium)
GPUs: High-performance Accelerators for Parallel Applications: The multicore transformation (Ubiquity symposium)
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DOI：
10.1145/2618401
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发表时间：
2014-08
期刊：
影响因子：
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通讯作者：
M. Silberstein
中科院分区：
文献类型：
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作者：
M. Silberstein
早期的图形处理单元（gpu）被设计为高计算密度、固定功能的处理器，以理想地满足计算机图形工作负载的需要。如今，gpu正在成为与cpu平起平坐的真正一流的计算元素。将gpu编程为自给自足的通用处理器不仅在理论上是可取的，而且在实践中是可行和高效的，为gpu在复杂软件系统中的集成开辟了新的机会。
Early graphical processing units (GPUs) were designed as high compute density, fixed-function processors ideally crafted to the needs of computer graphics workloads. Today, GPUs are becoming truly first-class computing elements on par with CPUs. Programming GPUs as self-sufficient general-purpose processors is not only hypothetically desirable, but feasible and efficient in practice, opening new opportunities for integration of GPUs in complex software systems.