Before revision:  Without modifying any library function, on workloads using NumPy and Pandas in Python and Intel MKL in C, Mozart provides performance competitive with intrusive solutions that require rewriting libraries in many cases, can sometimes improve performance over past systems by up to 2x , and accelerates workloads by up to 30x .
After revision:  We show that Mozart can accelerate workloads in libraries such as Intel MKL and Pandas by up to 15x, with no library modifications. Mozart also provides performance gains competitive with solutions that require rewriting libraries in many cases, can sometimes improve performance over past systems by up to 2x , and accelerates workloads by up to 30x .