HEP software applications require a large amount of computing resources, and their computing performance is an important issue, in particular to satisfy their ever-increasing requirements. Since 2005, we no longer benefit from the automatic gains due to the increase in processor clock frequency. The growth in the number of transistors on a chip now translates into an increase in the number of cores and their complexity rather than an improvement in the performance of each core. To tackle these challenges, the ROOT project has been undertaking a re-engineering to adapt its Math libraries to run in multiple concurrent threads and make an efficient use of the vector units (SIMD).
The chosen candidate will continue the re-engineering made on vectorization of the Mathematical functions extending VecCore to implement a SIMD version of the ROOT:TMath namespace.
For each one of these areas the student will be expected to provide tests, reliable benchmarks and speed-up results for each SIMD-enabled mathematical function. At the end of GSoC, VecCore should contain a vectorized implementation of all the TMath functions.
Strong knowledge of C++11; being able to produce clean, reliable code; No need for background in math, although basic understanding of equations is expected. Basic notions of vectorization are a plus.