MATS : A Model-Driven Adaptive Tuning System for Parallel Workloads

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Provided by: American V-King Scientific Publishing
Topic: Software
Format: PDF
Building software that can effectively utilize underlying hardware resources has been a perennial challenge for the high-performance computing community. In recent years, the HPC community has responded to this challenge by creating adaptive compilation systems that allow domain experts to automatically tune their code to different architectures; thus relieving some of the burden of manual re-targeting of code. Although autotuning of applications holds great promise, the enormity and complexity of the optimization search space and the associated long tuning times, coupled with the emergence of multicore and manycore architectures pose significant challenges in its acceptance as a viable alternative to manual performance tuning.
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