Abstract
Since the silicon technology entered the many-core era, new computing platforms are exploiting higher and higher levels of parallelism. Thanks to scalable, clustered architectures, embedded systems and high-performance computing (HPC) are rapidly converging.We are also experiencing a rapid overlapping of the challenges related to efficient exploitation of processing resources. Platform-specific optimization and application boosting cannot be considered independently anymore. Thus the increased interest towards broader and versatile methodologies, which could easily scale from the embedded up to the general-purpose domain.
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Massari, G. et al. (2014). Data Parallel Application Adaptivity and System-Wide Resource Management in Many-Core Architectures. In: Goehringer, D., Santambrogio, M.D., Cardoso, J.M.P., Bertels, K. (eds) Reconfigurable Computing: Architectures, Tools, and Applications. ARC 2014. Lecture Notes in Computer Science, vol 8405. Springer, Cham. https://doi.org/10.1007/978-3-319-05960-0_39
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DOI: https://doi.org/10.1007/978-3-319-05960-0_39
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