FFTX is the exascale follow-on to the FFTW open-source discrete FFT package for executing the Fast Fourier Transform as well as higher-level operations composed of linear operations combined with discrete Fourier transforms. Though backward compatible with FFTW, this is an entirely new work developed as a cooperative effort between Lawrence Berkeley National Laboratory, Carnegie Mellon University, and SpiralGen, under the Department of Energy’s Exascale Computing Project.

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The goal of the DARPA Building Resource Adaptive Software Systems (BRASS) program is to realize foundational advances in the design and implementation of long-lived, survivable and complex software systems that are robust to changes in the physical and logical resources provided by their ecosystem. These advances will necessitate integration of new resource-aware program abstractions and analyses, in addition to novel compiler and systems designs to trigger adaptive transformations and validate their effectiveness.

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The overarching goal of this Bluestone project is to enable new levels of performance portability of high-performance computing (HPC) and artificial intelligence (AI) applications on extremely heterogeneous (EH) architectures.

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