Abstract. Recent trend in high-performance computing focuses on networks of workstations (NOWs) as a way ofrealizing cost-effective parallel machines. This has been due to the avai...
Sparse matrix-vector multiplication forms the heart of iterative linear solvers used widely in scientific computations (e.g., finite element methods). In such solvers, the matrix-v...
Abstract. Today’s large finite element simulations require parallel algorithms to scale on clusters with thousands or tens of thousands of processor cores. We present data struc...
Timo Heister, Martin Kronbichler, Wolfgang Bangert...
This paper studies a variational Bayesian unmixing algorithm for hyperspectral images based on the standard linear mixing model. Each pixel of the image is modeled as a linear com...
Olivier Eches, Nicolas Dobigeon, Jean-Yves Tourner...
Real-time resource scheduling is an important factor for improving the performance of cluster computing. In many distributed and parallel processing systems, particularly real-tim...