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Seminar: “Heterogeneous Computing from Managed Runtime Programming Languages: Opportunities and Challenges” – Juan Fumero, University of Manchester, Intel oneAPI Innovator
Seminar: “Heterogeneous Computing from Managed Runtime Programming Languages: Opportunities and Challenges” – Juan Fumero, University of Manchester, Intel oneAPI Innovator
Abstract Parallel programming APIs, particularly those designed for GPU and FPGA computing, are typically tailored to specific architectures and programming languages. Examples include (i) CUDA, whichallows developers to harness GPU computing power, and (ii) OpenCL, which provides access to awide range of hardware accelerators, such as GPUs and FPGAs. These APIs are predominantly builtfor the […]