The next generation of supercomputers will break the exascale barrier. Soon we will have
systems capable of at least one quintillion (billion billion) floating-point operations per …

California is severely exposed to drought and damage due to the climate change and
drought belt, which has a major impact on agriculture. So, after the drought crisis, there are …

While many algorithm-based fault tolerance (ABFT) schemes have been proposed to detect
soft errors offline in the fast Fourier transform (FFT) after computation finishes, none of the …

Progress in numerical weather and climate prediction accuracy greatly depends on the
growth of the available computing power. As the number of cores in top computing facilities …

General Matrix Multiplication (GEMM) is a crucial algorithm for various applications such as
machine learning and scientific computing since an efficient GEMM implementation is …

Basic Linear Algebra Subprograms (BLAS) is a core library in scientific computing and
machine learning. This paper presents FT-BLAS, a new implementation of BLAS routines …

Requirements for reliability, low power consumption, and performance place complex and
conflicting demands on the design of high-performance computing (HPC) systems. Fault …

Cloud computing has made the resources needed to execute large-scale in-memory
distributed computations widely available. Specialized programming models, eg …

Fault tolerance is an important requirement for successful program execution on exascale
systems. The common approach, checkpointing, regularly saves a program's state, such that …

Image registration technique is useful for variety of applications ranging from surveillance to
image mosaicing where task is to match two or more pictures taken, for example, at different …