Computer architecture and high performance computing.

They evaluate these optimizations in different multicore and GPU architectures, investigating the impact of different APIs on the performance, energy efficiency, and portability of the code. In the fifth contribution, entitled "Energy efficiency and portability of oil and gas simulations on multicore and graphics processing unit architectures", Serpa et al.5 propose three optimizations for an oil and gas application, reverse time migration (RTM), which reduce the floating-point operations by changing the equation derivatives. Moreover, the Brute Force algorithm running on CPU + GPU architecture has greater energy efficiency, reaching at least 1.79× more operations per energy consumption than other algorithms on different architectures explored in the work. [Extracted from the article]