Computing in Science & Engineering · 2021 · 109 citations · 6 references
ComputingComputer ScienceHigh-performance ComputingProgramming LanguagesScientific ComputingSoftware EngineeringApplication Programming InterfacesHardware DebuggingCross-platform PortabilityDebuggingDebugging SupportDebugging TechniquesPerformance DebuggingPerformance PortabilityPortabilityProfiling
State-of-the-art engineering and science codes have grown in complexity dramatically over the last two decades. Application teams have adopted more sophisticated development strategies, leveraging third party libraries, deploying comprehensive testing, and using advanced debugging and profiling tools. In today’s environment of diverse hardware platforms, these applications also desire performance portability—avoiding the need to duplicate work for various platforms. The Kokkos EcoSystem provides that portable software stack. Based on the Kokkos Core Programming Model, the EcoSystem provides math libraries, interoperability capabilities with Python and Fortran, and Tools for analyzing, debugging, and optimizing applications. In this article, we overview the components, discuss some specific use cases, and highlight how codesigning these components enables a more developer friendly experience.
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Designing vector-friendly compact BLAS and LAPACK kernels
Kyungjoo Kim, Timothy Costa, Mehmet Deveci et al. · 2017 · 32 citations · Full text