Brightskies shares how we used the Intel® oneAPI toolkits to build our own reverse time migration (RTM) solution, to help geoscientists and geologists at energy companies use HPC for seismic image processing. Brightskies migrated its code to different hardware architectures using DPC++, while tuning only 30% of the code and .
Dedicated R&D
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Big Data Analytics & Data Science
- Strong knowledge of Statistical Analysis and Machine Learning.
- Strong knowledge of statistical analysis language R.
- Strong knowledge of different Data Visualization tools including R’s Lattice and ggplot2.
- Strong knowledge of Reproducible Data Analysis using knitr and R Markdown.
- Strong knowledge of Relational databases including MySQL and NoSQL databases such as MongoDB and HBase.
- Experience with large data sets and distributed computing using Hadoop and Spark.
- Building data science products and interactive graphics using Shiny and RCharts.
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Published work
Brightskies’ Experience Using oneAPI for Reverse Time Migration: Choosing the Right API Matters in Real Product Development
The choice of programming model is a critical decision when embarking on a new development project. This decision has only gotten more difficult with the proliferation of parallel programming approaches and hardware accelerators, from vector CPUs to GPUs, FPGAs, DSPs, ASICs, and even dedicated AI chips. These accelerators often require .
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