Search for: All records

This paper explores parallelism performance for C, C++, Go, Java, Julia, and Rust on N-body simulations. We begin with a basic O(N2) simulation for each language based on the n-body benchmark in the Benchmark Game. The original benchmark is adjusted to include a larger number of particles and run in parallel. We also add parallelism to the force calculations using a kD-tree. This work builds on previous work by including parallelism and adding the Julia programming language to our survey. We find that for straight number-crunching, all of these languages provide similar performance, and all have sufficient support for parallelism that runtimes scale well with thread counts. On the other hand, when a spatial data structure, such as the kD-tree, is introduced, the runtimes vary dramatically between languages. In that situation, Julia’s performance looks more like Python, taking over 100 times as long as Rust/C/C++ to finish. Rust comes out on top with an impressive 50% lead over C and C++.