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Data scientists spend 60% of their time cleaning and preprocessing data, transforming this dirty data into crystallized insights. Dataframes, such as Pandas, provide exceptional tooling to address data wrangling tasks, yet Pandas themselves increasingly lack ease and speed as they [See the full post…] |
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Categories: Audio Podcast, Code Together, Intel Tags: Alex Baden, algebra, Apache Arrow, CPU, data analytics, data preprocessing, Data Science, data science pipeline, data scientist, database, dataframe, Devin Petersohn, DPC++, GPU, heterogeneous, Intel, Intel AI Analytics Toolkit, Intel Optane, just-in-time compilation, LLVM, Modin, NoSQL, OmniSci, OmniSciDB, oneAPI, Open Source, Pandas, Python, scikit-learn, SQL, VTune Profiler
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In this episode of Code Together, Geoff Lowney, Senior Fellow at Intel, and Andrew Richards, CEO at Codeplay Software, discuss the value of standards in enabling hardware and software developers to collaborate and innovate. From the early days of video [See the full post…] |
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Categories: Artificial Intelligence, Audio Podcast, Code Together, Intel Tags: Accelerators, AI, artificial intelligence, C++, compilers, compute-intensive, CPU, CUDA, data parallel, data-intensive, developers, exascale, Geoff Lowney, GPU, high performance computing, HPC, Khronos, Khronos Group, LLVM, NVIDIA, oneAPI, Open Source, OpenCL, parallel programming, parallelism, Standards, SYCL
