Find out how Lisbon-based R&D innovator INESC-ID significantly sped up its computationally crushing bioinformatics application on the latest Intel® CPUs using oneAPI tools.
Regardless of whether medical science is your thing, this session is a good one for anyone interested in materially improving performance on Intel CPUs of computationally challenging, algorithm-heavy applications.
Sign up to hear how two researchers accomplished it for a critical epistasis disease-detection application that uses datasets spanning millions of genetic markers in multiple high-order combinations; this effectively expands datasets into the hundreds of trillions of samples that must be quickly and accurately evaluated.
Find out how they leveraged oneAPI tools to transform their legacy code into multi-architecture state-of-the-art code, plus the results they achieved on Intel CPUs, including Intel® Xeon® CPU Max Series with HBM.
This session focuses on Intel’s results from its 2023 MLPerf v.3.0 submissions specific to thedata center category. The workload tasks were run on 4th Gen Intel® Xeon® Scalable processors. (Fun fact: Intel remains the only data center CPU vendor to have MLPerf Inference results on a broad set of models.)
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Skill level: Intermediate
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Assistant Professor, Universidade de Lisboa and Senior Researcher SIPS GROUP, INESC-ID
Researcher at INESC-ID | High-Performance Computing Architectures and Systems (HPCAS)