5th Special Issue of Parallel Computing (Elsevier) on Parallel Matrix Algorithms and Applications Deadline for submissions: October 15, 2008. This 5th special issue of Parallel Computing on Parallel Matrix Algorithms and Applications is devoted to various novel, efficient linear algebra techniques and their applications in diverse areas of science and industry. The special issue is to follow the PMAA'08 Workshop, which was held in Neuchatel, Switzerland, June, 20-22, 2008 (http://www.dcs.bbk.ac.uk/pmaa08/). However, the papers solicited in this call for papers are not restricted to the contributions presented during the Workshop. Submissions from other researchers, which fit the scope of this special issue are also welcomed. Papers submitted to the special issue should have a strong parallel computing and numerical linear algebra component. Topics to be covered in the issue include, but are not limited to: * Parallel methods for solving large linear systems of equations: direct, iterative, domain decomposition. * Parallel eigenvalue and singular value computations. * Parallel matrix multiplication and combinatorial scientific computing. * Parallel linear algebra methods in Data Mining. * Automatic tuning and performance modeling. * Novel architectural paradigms (e.g. GPU and multicore) and their use in matrix computations and applications. * Large scale scientific applications from diverse fields which have an emphasis on parallel matrix computation. Manuscripts will undergo the standard Parallel Computing peer-reviewing process. They should be submitted electronically via the Journal's online submission system http://ees.elsevier.com/parco/ and the authors should follow the instructions in the Guide for Authors. In particular, when choosing the Article type during the submission, make sure you select the title of this special issue "Parallel Matrix Algorithms and Applications (PMAA'08)". The guest editors of this special issue are: Costas Bekas, IBM Research, Zurich, Switzerland Pasqua D' Ambra, CNR, Naples, Italy Ananth Grama, Purdue University, USA Yousef Saad, University of Minnesota, USA Petko Yanev, University of Neuchatel, Switzerland For any questions, please contact Costas Bekas at bek@zurich.ibm.com