6533b855fe1ef96bd12b071d

RESEARCH PRODUCT

SAUCE: A web application for interactive teaching and learning of parallel programming

Moritz SchlarbBertil SchmidtChristian Hundt

subject

Computer Networks and Communicationsbusiness.industryComputer scienceProgramming languageWhite-box testingParallel algorithmProcess (computing)020206 networking & telecommunications02 engineering and technologyParallel computingThread (computing)computer.software_genreTheoretical Computer ScienceCUDASoftwareArtificial IntelligenceHardware and Architecture0202 electrical engineering electronic engineering information engineeringCode (cryptography)Web application020201 artificial intelligence & image processingbusinesscomputerSoftware

description

Abstract Prevalent hardware trends towards parallel architectures and algorithms create a growing demand for graduate students familiar with the programming of concurrent software. However, learning parallel programming is challenging due to complex communication and memory access patterns as well as the avoidance of common pitfalls such as dead-locks and race conditions. Hence, the learning process has to be supported by adequate software solutions in order to enable future computer scientists and engineers to write robust and efficient code. This paper discusses a selection of well-known parallel algorithms based on C++11 threads, OpenMP, MPI, and CUDA that can be interactively embedded in an HPC or parallel computing lecture using a unified framework for the automated evaluation of source code—namely the “System for AUtomated Code Evaluation” (SAUCE). SAUCE is free software licensed under AGPL-3.0 and can be downloaded at https://github.com/moschlar/SAUCE free of charge.

yearjournalcountryeditionlanguage
2017-07-01Journal of Parallel and Distributed Computing
https://doi.org/10.1016/j.jpdc.2016.12.028