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 …

Performance and power constraints come together with Complementary Metal Oxide
Semiconductor technology scaling in future Exascale systems. Technology scaling makes …

In this paper, we present supervision-by-registration, an unsupervised approach to improve
the precision of facial landmark detectors on both images and video. Our key observation is …

In their quest toward Exascale, High Performance Computing (HPC) systems are rapidly
becoming larger and more complex, together with the issues concerning their maintenance …

Abstract The Young/Daly formula provides an approximation of the optimal checkpointing
period for a parallel application executing on a supercomputing platform. It was originally …

Iterative methods are commonly used approaches to solve large, sparse linear systems,
which are fundamental operations for many modern scientific simulations. When the large …

Emerging high-performance computing platforms, with large component counts and lower
power margins, are anticipated to be more susceptible to soft errors in both logic circuits and …

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 …

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

As we move toward exascale platforms, silent data corruptions (SDC) are likely to occur
more frequently. Such errors can lead to incorrect results. Attempts have been made to use …