Characterizing and mitigating soft errors in gpu dram
GPUs are used in high-reliability systems, including high-performance computers and
autonomous vehicles. Because GPUs employ a high-bandwidth, wide-interface to DRAM …
autonomous vehicles. Because GPUs employ a high-bandwidth, wide-interface to DRAM …
[PDF][PDF] Optimizing Selective Protection for CNN Resilience.
As CNNs are being extensively employed in high performance and safety-critical
applications that demand high reliability, it is important to ensure that they are resilient to …
applications that demand high reliability, it is important to ensure that they are resilient to …
Voodoo: Memory Tagging, Authenticated Encryption, and Error Correction through {MAGIC}
L Lamster, M Unterguggenberger… - 33rd USENIX Security …, 2024 - usenix.org
Confidentiality, authenticity, integrity of data, and runtime security are ubiquitous concerns in
modern computer systems. However, these security concerns have traditionally been …
modern computer systems. However, these security concerns have traditionally been …
Structural coding: A low-cost scheme to protect cnns from large-granularity memory faults
The advent of High-Performance Computing has led to the adoption of Convolutional Neural
Networks (CNNs) in safety-critical applications such as autonomous vehicles. However …
Networks (CNNs) in safety-critical applications such as autonomous vehicles. However …
Predicting faults in high performance computing systems: An in-depth survey of the state-of-the-practice
As we near exascale, resilience remains a major technical hurdle. Any technique with the
goal of achieving resilience suffers from having to be reactive, as failures can appear at any …
goal of achieving resilience suffers from having to be reactive, as failures can appear at any …
A case for transparent reliability in DRAM systems
Today's systems have diverse needs that are difficult to address using one-size-fits-all
commodity DRAM. Unfortunately, although system designers can theoretically adapt …
commodity DRAM. Unfortunately, although system designers can theoretically adapt …
Cost-aware prediction of uncorrected DRAM errors in the field
I Boixaderas, D Zivanovic, S Moré… - … Conference for High …, 2020 - ieeexplore.ieee.org
This paper presents and evaluates a method to predict DRAM uncorrected errors, a leading
cause of hardware failures in large-scale HPC clusters. The method uses a random forest …
cause of hardware failures in large-scale HPC clusters. The method uses a random forest …
Rethinking the Producer-Consumer Relationship in Modern DRAM-Based Systems
Generational improvements to commodity DRAM throughout half a century have long
solidified its prevalence as main memory across the computing industry. However …
solidified its prevalence as main memory across the computing industry. However …
Hardware resilience properties of text-guided image classifiers
This paper presents a novel method to enhance the reliability of image classification models
during deployment in the face of transient hardware errors. By utilizing enriched text …
during deployment in the face of transient hardware errors. By utilizing enriched text …
An in-depth correlative study between DRAM errors and server failures in production data centers
Dynamic Random Access Memory (DRAM) errors are prevalent and lead to server failures
in production data centers. However, little is known about the correlation between DRAM …
in production data centers. However, little is known about the correlation between DRAM …