A team from Hewlett Packard Labs is leading a paradigm shift in the convergence of traditional high-performance computing (HPC) and modern artificial intelligence (AI) computing, expressed as workflows. These workflows simplify development, reuse, and operation, and are increasingly dependent on accelerators and serverless computing. The team predicts nine principles for this convergence, including the adoption of workflows as native applications for HPC and AI, and the use of Multilevel Intermediate Representation (MLIR) to address heterogeneity complexity. The future of HPC is seen as evolving towards harmoniously engineered workflows, complemented by machine learning and AI.
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