With scientific data available at geocoded locations, investigators are increasingly turning to
spatial process models for carrying out statistical inference. Over the last decade …

In scientific applications that involve dense matrices, checksum encodings have yielded"
algorithm-based fault tolerance"(ABFT) in the event of data corruption from either hard or …

The increase in on-chip transistor count facilitates achieving higher performance, but at the
expense of higher susceptibility to soft errors. In this paper, we characterize the challenges …

Autotuning systems intelligently navigate a search space of possible implementations of a
computation to find the implementation (s) that best meets a specific optimization criteria …

The systematic development of efficient algorithms has become a key technology for all
kinds of ambitious and innovative computer applications. With major parts of algorithmic …

The constantly increasing demand for more computing power can seem impossible to keep
up with. However, multicore processors capable of performing computations in parallel allow …

Code variants represent alternative implementations of a computation, and are common in
high-performance libraries and applications to facilitate selecting the most appropriate …

La conception des plateformes d'échelle extrême qui devraient être disponibles dans la
décade à venir représenteront la convergence de tendances technologiques et définiront le …

A parallel algorithm for solving a series of matrix equations with a constant tridiagonal matrix
and different right-hand sides is proposed and studied. The process of solving the problem …

Sparse matrix–vector multiplication (SpMV) is one of the most important kernels in high-
performance computing (HPC), yet SpMV normally suffers from ill performance on many …