Debugging High-Performance Computing Applications at Massive Scales.

The article focuses on debugging high-performance computing (HPC) applications. It is noted that these applications can run long numerical simulations which model the real world. The numerical correctness and software reliability of these applications is very important for scientists. Debugging para...

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Detalles Bibliográficos
Publicado en:	Communications of the ACM Vol. 58; no. 9; pp. 72 - 82
Autores principales:	LAGUNA, IGNACIO, AHN, DONG H., DE SUPINSKI, BRONIS R., GAMBLIN, TODD, LEE, GREGORY L., SCHULZ, MARTIN, BAGCHI, SAURABH, KULKARNI, MILIND, BOWEN ZHOU, ZHEZHE CHEN, FENG QIN
Formato:	Artículo
Publicado:	Association for Computing Machinery Sep2015
Materias:	High performance computing Debugging Computer simulation Computer software testing Parallel programs (Computer programs) Algorithms Electronic data processing Mathematical models Mathematical programming
Acceso en línea:	Ver este registro en EBSCOhost

Descripción
Sumario:	The article focuses on debugging high-performance computing (HPC) applications. It is noted that these applications can run long numerical simulations which model the real world. The numerical correctness and software reliability of these applications is very important for scientists. Debugging parallel programs is much more difficult compared to debugging serial programs. According to the authors, dynamic analysis tools and algorithms which match an application's input and number of compute nodes allow programmers identify the root cause of bugs. INSET: Real-World Debugging Case.