159 citations · 198 across the 9 of their papers we have counts for
16 papers
DINOMO: An Elastic, Scalable, High-Performance Key-Value Store for Disaggregated Persistent Memory (Extended Version)
Sekwon Lee, Soujanya Ponnapalli, Sharad Singhal +3
We present Dinomo, a novel key-value store for disaggregated persistent memory (DPM). Dinomo is the first key-value store for DPM that simultaneously achieves high common-case perf…
Finding and Analyzing Crash-Consistency Bugs in Persistent-Memory File Systems
Hayley LeBlanc, Shankara Pailoor, Isil Dillig +2
We present a study of crash-consistency bugs in persistent-memory (PM) file systems and analyze their implications for file-system design and testing crash consistency. We develop…
PAIO: A Software-Defined Storage Data Plane Framework
Ricardo Macedo, Yusuke Tanimura, Jason Haga +3
We propose PAIO, the first general-purpose framework that enables system designers to build custom-made Software-Defined Storage (SDS) data plane stages. It provides the means to i…
Memory Optimization for Deep Networks
Aashaka Shah, Chao-Yuan Wu, Jayashree Mohan +2
Deep learning is slowly, but steadily, hitting a memory bottleneck. While the tensor computation in top-of-the-line GPUs increased by 32x over the last five years, the total availa…
Towards Software-Defined Data Protection: GDPR Compliance at the Storage Layer is Within Reach
Zsolt Istvan, Soujanya Ponnapalli, Vijay Chidambaram
Enforcing data protection and privacy rules within large data processing applications is becoming increasingly important, especially in the light of GDPR and similar regulatory fra…
Analyzing and Mitigating Data Stalls in DNN Training
Jayashree Mohan, Amar Phanishayee, Ashish Raniwala +1
Training Deep Neural Networks (DNNs) is resource-intensive and time-consuming. While prior research has explored many different ways of reducing DNN training time, the impact of in…