NAND flash memory is ubiquitous in everyday life today because its capacity has
continuously increased and cost has continuously decreased over decades. This positive …

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 …

Given the increasing impact of Rowhammer, and the dearth of adequate other hardware
defenses, many in the security community have pinned their hopes on error-correcting code …

Several recent publications have shown that hardware faults in the memory subsystem are
commonplace. These faults are predicted to become more frequent in future systems that …

Long DRAM latency is a critical performance bottleneck in current systems. DRAM access
latency is defined by three fundamental operations that take place within the DRAM cell …

Most modern computer systems use dynamic random access memory (DRAM) as a main
memory store. Recent publications have confirmed that DRAM errors are a common source …

Recent trends of CMOS technology scaling and wide-spread use of multicore processors
have dramatically increased the power consumption of main memory. It has been estimated …

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

Reduction in leakage power has become an important concern in low voltage, low power
and high performance applications. In this paper, we use dual threshold technique to reduce …

Building trusted data-centers requires resilient memories which are protected from both
adversarial attacks and errors. Unfortunately, the state-of-the-art memory security solutions …