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 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 function interfaces and the fitting functions plus parallelization of the last one.
For each one of these areas the student will be expected to provide tests, reliable benchmarks and speed-up results. At the end of GSoC, ROOT should be capable of fitting in parallel and making use of vectorization to evaluate both user-specified and predefined formulas.
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.