We present Dinomo, a novel key-value store for disaggregated persistent
...
We present a study of crash-consistency bugs in persistent-memory (PM) f...
Large ML models and datasets have necessitated the use of multi-GPU syst...
Training Deep Neural Networks (DNNs) is a widely popular workload in bot...
We propose PAIO, the first general-purpose framework that enables system...
Deep learning is slowly, but steadily, hitting a memory bottleneck. Whil...
Enforcing data protection and privacy rules within large data processing...
Training Deep Neural Networks (DNNs) is resource-intensive and
time-cons...
In recent years, our society is being plagued by unprecedented levels of...
The General Data Protection Regulation (GDPR) was introduced in Europe t...
Decentralized systems such as blockchains promise to fundamentally chang...
We present Recipe, a principled approach for converting concurrent DRAM
...
We present SplitFS, a file system for persistent memory (PM) that reduce...
With the arrival of the European Union's General Data Protection Regulat...
The recently introduced General Data Protection Regulation (GDPR) is for...
In recent years, our society is being plagued by unprecedented levels of...
In recent years, our society is being plagued by unprecedented levels of...
We present a new approach to testing file-system crash consistency: boun...
We present the first systematic analysis of read, write, and space
ampli...