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How can we sacrifice correctness, reliability, and precision of an algorithm to increase its efficiency, while still producing useful results? Approximate computing takes a different view of the role and effect of approximations in computations. Instead of considering approximations as a necessary evil of digital computers, one tries to allow application-specific admissible approximations in order to reap significant improvements in energy efficiency. A cross-layer view of applications, numerical methods and computer architecture opens up new perspectives and research questions.
Christian Plessl is professor (W3) for High-Performance Computing at the department of Computer Science at Paderborn University. He is also managing director of the Paderborn Center for Parallel Computing (PC²), which is a central scientific institute of Paderborn University and a National High-Performance Computing center in the NHR alliance. In the last years, he has been dealing with different aspects and application fields of Approximate Computing.