Productive high-performance software for OpenCL devices
2013
Over the last three decades, CPUs have continued to produce large performance improvements from one generation to
the next. However, CPUs have recently hit a performance wall and need parallel computing to move forward. Parallel
computing over the next decade will become increasingly defined by heterogeneous computing, involving the use of
accelerators in addition to CPUs to get computational tasks done. In order to use an accelerator, software changes must
be made. Regular x86-based compilers cannot compile code to run on accelerators without these needed changes. The
amount of software change required varies depending upon the availability of and reliance upon software tools that
increase performance and productivity. Writing software that leverages the best parallel computing hardware, adapts
well to the rapid pace of hardware updates, and minimizes developer muscle is the industry’s goal. OpenCL is the
standard around which developers are able to achieve parallel performance. OpenCL itself is too difficult to program to
receive general adoptions, but productive high-performing software libraries are becoming increasingly popular and
capable in delivering lasting value to user applications.
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