Improving Indigenous Research Capabilities Through Data
Exploreabout Improving Indigenous Research Capabilities Through Data
Graphics processing units (GPUs) are an important component of high-performance computing (HPC) and AI infrastructure, as they offer substantially higher performance and efficiency than general CPUs for many scientific workflows. However, programming for GPUs requires close attention to low-level hardware details in order to achieve good performance, while the emergence of HPC-focused GPUs from multiple hardware vendors, each with their own programming languages and APIs, has complicated the programming landscape. This means that porting to a new platform or GPU vendor can require substantial code rewrites, dramatically increasing the costs of software maintenance.
In this talk, our speaker Dr Emily Kahl, a research software engineer at the Australian Institute for Bioengineering and Nanotechnology (AIBN) at the University of Queensland, will provide an overview of some recent attempts to overcome this issue in the C++ programming space. She will:
Dr Emily Kahl develops and maintains software for molecular simulation, with a specific focus on GPU-accelerated computing and machine learning methods in quantum chemistry. Emily is also an advocate for open-source software in computational science. Code she has developed for atomic and molecular physics has seen widespread use by Australian and international researchers.
Learn more about Emily and her work from our June 2022 interview with her.
A recording and slides from this event are now available.
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