Parallelization of GSL: Performance of Case Studies

In this paper we explore the parallelization of the scientific library from GNU both on shared-memory and distributed-memory architectures. A pair of classical operations, arising in sparse linear algebra and discrete mathematics, allow us to identify the major challenges involved in this task, and to analyze the performance, benefits, and drawbacks of two different possible parallelization approaches.

• Type: Conference
• Year: 2004
• Where: PARA
• Authors: José Ignacio Aliaga, Francisco Almeida, José M. Badía, Sergio Barrachina, Vicente Blanco Pérez, María Isabel Castillo, U. Dorta, Rafael Mayo, Enrique S. Quintana-Ortí, Gregorio Quintana-Ortí, Casiano Rodríguez, Francisco de Sande
• Keywords: Applied Computing, Distributed-memory Architectures, PARA 2004, Possible Parallelization Approaches, Sparse Linear Algebra