Write-limited sorts and joins for persistent memory

Write-limited sorts and joins for persistent memory Viglas, VLDB 2014 This is the second of the two research-for-practice papers for this week. Once more the topic is how database storage algorithms can be optimised for NVM, this time examining the asymmetry between reads and writes on NVM. This is premised on Viglas’ assertion that: Writes … Continue reading Write-limited sorts and joins for persistent memory

Let’s talk about storage and recovery methods for non-volatile memory database systems

Let's talk about storage and recovery methods for non-volatile memory database systems Arulraj et al., SIGMOD 2015 Update: fixed a bunch of broken links. I can't believe I only just found out about this paper! It's exactly what I've been looking for in terms of an analysis of the impacts of NVM on data storage … Continue reading Let’s talk about storage and recovery methods for non-volatile memory database systems

Distributed consensus and the implications of NVM on database management systems

Distributed consensus and the implications of NVM on database management systems Fournier, Arulraj, & Pavlo ACM Queue Vol 14, issue 3 As you may recall, Peter Bailis and ACM Queue have started a "Research for Practice" series introducing "expert curated guides to the best of CS research." Aka, reading lists for The Morning Paper! I … Continue reading Distributed consensus and the implications of NVM on database management systems

Flexible Paxos: Quorum intersection revisited

Flexible Paxos: Quorum intersection revisited Howard et al., 2016 Paxos has been around for 18 (26) years now, and extensively studied. (For some background, see the 2 week mini-series on consensus that I put together last year). In this paper, Howard et al. make a simple(?) observation that has significant consequences for improving the fault-tolerance … Continue reading Flexible Paxos: Quorum intersection revisited

Texture networks: feed-forward synthesis of textures and stylized images

Texture Networks: Feed-forward synthesis of textures and stylized images Ulyanov et al., arXiv, March 2016 During the summer break I mostly stayed away from news feeds and twitter, which induces terrible FOMO (Fear Of Missing Out) to start with. What great research was published / discussed that I missed? Was there a major industry announcement … Continue reading Texture networks: feed-forward synthesis of textures and stylized images

Why should I trust you? Explaining the predictions of any classifier

“Why Should I Trust You? Explaining the Predictions of Any Classifier Ribeiro et al., KDD 2016 You’ve trained a classifier and it’s performing well on the validation set - but does the model exhibit sound judgement or is it making decisions based on spurious criteria? Can we trust the model in the real world? And … Continue reading Why should I trust you? Explaining the predictions of any classifier