DRAM errors in the wild: a large-scale field study

By Bianca Schroeder, Eduardo Pinheiro, Wolf-Dietrich Weber. Measurement and Modeling of Computer Systems, 2009

799 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/517c5cd1dbafb3cfa0eea4fc78d0b5cd085209b2

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In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

Book Reviews: Data-Intensive Text Processing with MapReduce by Jimmy Lin and Chris Dyer (2010, background): “In large clusters, disk failures are common [87] and RAM experiences more errors than one might expect [93].”
Memory Errors in Modern Systems: The Good, The Bad, and The Ugly (2015, methodology): “on memory errors in Google data centers [30].”
The case for RAMClouds: scalable high-performance storage entirely in DRAM (2010, background): “First, bit error rates for DRAM are relatively high [22] so ECC memory will be necessary to avoid undetected errors.”
Exascale computing and big data (2015, neutral): “22 A 2009 Google study 22 showed DRAM error rates were orders-of-magnitude higher than previously reported, with over 8% of DIMMs affected by errors in a year.”
How to factor 2048 bit RSA integers in 8 hours using 20 million noisy qubits (2019, methodology): “[6] B.”
FTI: High performance Fault Tolerance Interface for hybrid systems (2011, background): “First, the progress in transistors size will increase the SER several times [40, 10] in such way that soft errors are expected to be the most common type of failures for post-petascale systems.”
Understanding network failures in data centers: measurement, analysis, and implications (2011, background): “There also have been several studies on understanding hardware reliability in the context of cloud computing [11, 23, 24, 27].”
Cosmic rays don't strike twice: understanding the nature of DRAM errors and the implications for system design (2012, background): “Researchers have also explored other avenues, such as virtualized and .exible ECC at the software level [24].”
Availability Knob: Flexible User-Defined Availability in the Cloud (2016, background): “Many researchers have studied failure along with its sources and consequences in large-scale computing infrastructures [41, 57, 59] as well as cloud environments [19, 22, 65].”
Addressing failures in exascale computing (2014, background): “Recent studies have shown that the error rate of DRAM is far higher than the particle-strike soft errors, indicating that hard faults in either the peripheral or signaling circuits are the main cause of problems (Schroeder et al., 2009; Hwang et al., 2012; Sridharan and Liberty, 2012).”
SSD Failures in Datacenters: What? When? and Why? (2016, background): “At the datacenter level, design decisions such as conﬁgura-tions, packaging and cooling technologies etc. can impact the failure rates of different components [19, 30].”