Personalized recommendation systems leverage deep learning models and account for the
majority of data center AI cycles. Their performance is dominated by memory-bound sparse …

Graphics processing units (GPUs) are playing a critical role in convolutional neural networks
(CNNs) for image detection. As GPU-enabled CNNs move into safety-critical environments …

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 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 …

Using error-correcting codes (ECCs) is considered one of the most effective ways to mask
the effects of radiation-induced faults in memory and computing devices. Unfortunately, with …

Autonomous driving is disrupting conventional automotive development. Underlying
reasons include control unit consolidation, the use of components originally developed for …

Plans to launch miniaturized satellite missions have been increasing in the last few years.
Space missions like these are exposed to radiation, which is a cause of errors in electronic …

Dynamic random-access memory (DRAM) is crucial for high-performance computing due to
its speed and storage capacity. As the demand for high-capacity memory increases, DRAM …

Memory errors can cause crashes and data loss, which are unacceptable for various
computing systems, mainly large servers. Memory controllers can mitigate these errors by …

Dynamic random access memory (DRAM) is being upgraded iteratively, and as a result, its
transmission rate and bandwidth are rising quickly. Simultaneously, as the DRAM process …