C++ AMP

Foreword

For most of computing history, we benefited from exponential increases in performance of scalar processors. That has come to an end. We are now at the dawn of the heterogeneous parallel computing era. With all applications being power-sensitive and all computing systems being power-limited, from mobile to cloud, future computing platforms must embrace heterogeneity. For example, a fast-growing portion of the top supercomputers in the world have become heterogeneous CPU + GPU computing clusters. While the first-generation programming interfaces such as CUDA and OpenCL have enabled development of new libraries and applications for these systems, there has been a clear need for much higher productivity in heterogeneous parallel software ...