The Essential OpenACC
Abstract
Accelerators, most notably graphics processing units (GPUs), are an increasingly common component of large computing installations due to their high peak performance and competitive power efficiency figures. However, because of the substantially different architecture, their programming requires an intimate knowledge of the internal organization of specific devices, complicating their integration as a system component of equal utility to that of conventional CPUs and reducing code portability. The evolution of GPU programming toolkits and libraries such as Nvidia's Compute Unified Device Architecture has made this task easier, but has not fully eliminated a significant learning curve and barrier to application. ...
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