Bioinformatics is advancing health-care research by using computation to understand biological data. It’s useful for large complex data sets used in determining gene and protein functions, establishing evolutionary relationships, and predicting 3D shapes of proteins. Two experts, Sergio Santander-Jimenez at University of Extremadura, and Ricardo Nobre of INESC-ID, are combining the power of modern hardware (CPUs+GPUs), HPC compute, and software to advance bioinformatics applications in areas including epistasis detection. Hear how they made it happen: [16:30]

Guests:

• Sergio Santander-Jimenez, assistant professor, Dept. of Computer and Communications Technologies, University of Extremadura
• Ricardo Nobre, researcher at INESC-ID in Lisbon, Portugal
• Sujata Tibrewala, Intel’s oneAPI Developer Community manager

Learn More:

• Cross-architecture high-order exhaustive epistasis detection on CPU and GPU devices
• Accelerating 3-way Epistasis Detection with CPU+GPU processing. Paper presented in 23rd Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP), New Orleans, 2020. DOI: 10.1007/978-3-030-63171-0_6
• GitHub: Epistasis detection using DPC++ on Intel DevCloud source code
• Intel DPC++ Compatibility Tool
• oneAPI.com
• Intel oneAPI Toolkits

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Tags: Bioinformatics, compilers, Data Parallel C++, DPC++, DPC++ Compatibility Tool, epistasis detection, high performance computing, HPC, INESC-ID, machine learning, oneAPI, parallel programming, University of Extremadura
 
Posted in: Audio Podcast, Code Together, Intel