In this session, we will explore two transformative Python technologies—Numba and Dask—that empower researchers to bridge the gap between Python’s flexibility and the performance demands of supercomputing environments. These tools unlock new possibilities for accelerating computationally intensive tasks and scaling workflows across clusters.
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How to get the data you need for your research to and from high-performance computing systems.
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Interactive high-performance computing (HPC) involves real-time user inputs that result in actions being performed on HPC compute nodes. This session presents an overview of interactive computing tools and methods.
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SYCL is an open standard for programming heterogeneous architectures in ISO C++. This webinar will give a high-level overview of the SYCL programming language and the software ecosystem to write and tune SYCL code for different accelerator architectures. We will focus on GPUs and discuss how we can provide SYCL performance portability across hardware from different vendors, including Intel, Nvidia, and AMD GPUs, by employing a single-source model based on a modern C++ standard. As an example of complex scientific software, we will demonstrate briefly how the Amber molecular dynamics software was ported from CUDA to SYCL using Intel oneAPI software development tools and Intel Xe architecture GPUs. We will discuss numerical results and benchmark data that demonstrate the accuracy and performance of the SYCL implementation on data center and consumer-grade GPU hardware.
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Essentials of using regular expressions with the Linux tools grep, awk and sed.
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