Binary instrumentation frameworks are widely used to implement profilers, performance
evaluation, error checking, and bug detection tools. While dynamic binary instrumentation …

While graphics processing units (GPUs) have gained wide adoption as accelerators for
general-purpose applications (GPGPU), the end-to-end reliability implications of their use …

Memory devices represent a key component of datacenter total cost of ownership (TCO),
and techniques used to reduce errors that occur on these devices increase this cost. Existing …

Resiliency of exascale systems has quickly become an important concern for the scientific
community. Despite its importance, still much remains to be determined regarding how faults …

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 …

Next-generation supercomputers are expected to have more components and, at the same
time, consume several times less energy per operation. Consequently, the number of soft …

We present an in-depth analysis of transient faults effects on HPC applications in Intel Xeon
Phi processors based on radiation experiments and high-level fault injection. Besides …

As the high performance computing (HPC) community continues to push towards exascale
computing, resilience remains a serious challenge. With the expected decrease of both …

GPGPUs are used increasingly in several domains, from gaming to different kinds of
computationally intensive applications. In many applications GPGPU reliability is becoming …

High performance computing (HPC) is increasingly subjected to faulty computations. The
frequency of silent data corruptions (SDCs) in particular is expected to increase in emerging …