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FFTX-IRIS: Toward Performance Portability and Heterogeneity for SPIRAL Generated Code

SessionRSDHA: Redefining Scalability for Diversely Heterogeneous Architectures

DescriptionFFTX-IRIS is a dynamic system to efficiently utilize novel heterogeneous platforms. This system links two next generation frameworks, FFTX and IRIS, to navigate the complexity of different hardware architectures. FFTX provides a runtime code generation framework for high performance Fast Fourier Transform kernels. IRIS runtime provides portability and multi-device heterogeneity, allowing computation on any available compute resource. Together, FFTX-IRIS enables code generation, seamless portability, and performance without user involvement. We show the design of the FFTX-IRIS system along with an evaluation of various small FFT benchmarks. We also demonstrate multi-device heterogeneity of FFTX-IRIS with a larger stencil application.

Author/Presenters

Sanil Rao

Carnegie Mellon University

Het Mankad

Carnegie Mellon University

Mohammad Alaul Haque Monil

Oak Ridge National Laboratory (ORNL)