CUDA (an acronym for Compute Unified Device Architecture) is a parallel computing architecture developed by NVIDIA. CUDA is the computing engine in NVIDIA graphics processing units (GPUs) that is accessible to software developers through industry standard programming languages. Programmers use 'C for CUDA' (C with NVIDIA extensions), compiled through a C compiler to code algorithms for execution on the GPU.
Using DevSquare Hands-on Performance (HoP) engine, CUDA assignments were completed by UCLA students. DevSquare HoP platform gave a standardized platform to the students with exactly same environment and GPU capabilities. This placed students on exactly same footing while performing their assignments.
Further, students got an opportunity to use the revolutionary feedback system of DevSquare HoP engine, which gives immediate feedback regarding how close they are to their goals in their assignments. This allows students to fix the issues in their code and submit it again, aiding the student to perform better and gain better understanding of what they did wrong.
We are very excited at the feedback from students and looking to do this for even a bigger audience.
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