This paper explores the environmental impact of the super-linear growth trends for AI from a
holistic perspective, spanning Data, Algorithms, and System Hardware. We characterize the …

Unlike previous studies on the Metaverse based on Second Life, the current Metaverse is
based on the social value of Generation Z that online and offline selves are not different …

We are accustomed to thinking of computers as fail-stop, especially the cores that execute
instructions, and most system software implicitly relies on that assumption. During most of …

This article is an eight-year retrospective on development priorities for RocksDB, a key-value
store developed at Facebook that targets large-scale distributed systems and that is …

Silent Data Corruption (SDC) in processors can lead to various application-level issues,
such as incorrect calculations and even data loss. Since traditional techniques are not …

Prior work shows that Rowhammer attacks---which flip bits in DRAM via frequent activations
of the same row (s)---are viable. Adversaries typically mount these attacks via instruction …

Deep neural network (DNN) training workloads are increasingly susceptible to hardware
failures in datacenters. For example, Google experienced" mysterious, difficult to identify …

Today more than ever before, academia, manufacturers, and hyperscalers acknowledge the
major challenge of silent data corruptions (SDCs) and aim on solutions to minimize its …

Microprocessor power consumption and dependability are both crucial challenges that
designers have to cope with due to shrinking feature sizes and increasing transistor counts …

Silent Errors within hardware devices occur when an internal defect manifests in a part of the
circuit which does not have check logic to detect the incorrect circuit operation. The results of …