Challenges in using accelarators via programming languages
Data has grown exponentially in the last few years and to generate an insight from this data requires processing of voluminous amounts of data. Processing data on traditional hardware has its limitations and we are seeing the emergence of different types of accelerators to address these limitations. In this talk we will look at alternate hardware and programming models that are becoming popular and the challenges to the Eclipse community.
Outline/Structure of the Keynote
Data has grown exponentially in the last few years and to generate an insight from this data requires processing of voluminous amounts of data. Processing data on traditional hardware has its limitations and we are seeing the emergence of different types of accelerators to address these limitations. In this talk we will look at alternate hardware and programming models that are becoming popular and the challenges to the Eclipse community.
Learning Outcome
At the end of the session, the audience will be able to understand the differences in the hardware and the programming models of the CPU and the GPU.
Target Audience
all
Prerequisite
none
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