Resilience is a major roadblock for HPC executions on future exascale systems. These
systems will typically gather millions of CPU cores running up to a billion threads …

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

Increasing parallelism and transistor density, along with increasingly tighter energy and
peak power constraints, may force exposure of occasionally incorrect computation or …

The limited scalability of current bus topologies for systems on chips (SoCs) dictates the
adoption of networks on chips (NoCs) as a scalable interconnection scheme. Current SoCs …

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 …

We consider sparsity-based techniques for the approximation of high-dimensional functions
from random pointwise evaluations. To date, almost all the works published in this field …

With the rate of errors that can silently effect an application's state/output expected to
increase on future HPC machines, numerous application-level detection and recovery …

Fault tolerant massively parallel multigrid methods for elliptic partial differential equations
are a step towards resilient solvers. Here, we combine domain partitioning with geometric …