Parallel programming is a technique that allows a program to execute multiple parts of its code simultaneously on different processors or cores. This can improve the performance, efficiency, and ...

Parallel Computational Thinking. ... This is known as sequential programming, and it has largely been the accepted model of computer science instruction at both the university and K–12 levels, in ...

Programming Parallel Algorithms. Guy E. Blelloch. Communications of the ACM, 39(3), March, 1996. In the past 20 years there has been tremendous progress in developing and analyzing parallel algorithms ...

The simulation's algorithm was implemented in both sequential and parallel programming environments. This involved leveraging OpenMP and CUDA to parallelize the computational process. Comprehensive ...

Parallel programming, and OpenACC, is used in high-performance computing in the fields of bioinformatics, quantum chemistry, astrophysics and more. “The model was made to ensure that scientists spend ...

This will require developing a form of "parallel thinking". As part of the Center on Computational Thinking we propose to run a PROBE (PROBlem-oriented Exploration) on "Parallel Thinking". The PROBE ...

As hardware architectures become more parallel (with the advent of multicore processors and FPGAs, for example), sequential programming languages are forced to deal with representing parallelism ...

By achieving this goal, we hope to make parallel programming more accessible to experts in mathematics, engineering and other domains. A key feature of our approach is that parallelism is achieved ...

In this paper, we propose a parallel shooting algorithm for solving nonlinear model predictive control problems using sequential quadratic programming. This algorithm is built on a two-phase approach ...