Faults have become the norm rather than the exception for high-end computing clusters.
Exacerbating this situation, some of these faults remain undetected, manifesting themselves …

Aggressive process scaling and increasing demands of performance/cost efficiency have
exacerbated the incidences and impact of errors in DRAM systems. Due to this …

We show how a novel, non-linear representation of edge structure can be used to improve
the performance of model matching algorithms and object verification/recognition tasks …

Memory system reliability is a serious and growing concern in modern servers. Existing
chipkill-level memory protection mechanisms suffer from several drawbacks. They activate a …

Large-granularity memory failures continue to be a critical impediment to system reliability.
To make matters worse, as DRAM scales to smaller nodes, the frequency of unreliable bits …

In recent years, the energy consumption of data centers (DCs) has increased rapidly. Since
the demand response (DR) capability of DCs is considerable, DCs play an important role in …

The power target for exascale supercomputing is 20MW, with about 30% budgeted for the
memory subsystem. Commodity DRAMs will not satisfy this requirement. Additionally, the …

Stacked memory modules are likely to be tightly integrated with the processor. It is vital that
these memory modules operate reliably, as memory failure can require the replacement of …

Protecting main memories from soft errors typically requires special dual-inline memory
modules (DIMMs) which incorporate at least one extra chip per rank to store error-correcting …

Recent strategies to improve the observable resilience of applications require the ability to
classify vulnerabilities of individual components (eg, Data structures, instructions) of an …