DifferentialEquations.jl comprises of leading-edge methods for solving Differential Equations and an extensive benchmark suite written purely in Julia. Many methods have state-of-the-art performances, but still, some of them can be accelerated for high-performance returns. This project aims to maintain the same standards and improve benchmark performances of various solvers. In essence, the project will emphasize increasing the speed through iterative optimizations, bug fixes and improvements, reduce redundant memory allocation and improved benchmarking.

Organization

Student

Utkarsh .

Mentors

  • Kanav Gupta
  • Samuel Isaacson
  • ChrisRackauckas
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2020