Best of 2017 in MuratBuffalo
This is my 77th post for the year. As is the custom in a year-end post, I mention some highlights among these posts in 2017.
Machine Learning
- My first impressions after a week of using TensorFlow
- Google DistBelief paper: Large Scale Distributed Deep Networks
- Learning Machine Learning: Deep Neural Networks
- Google Federated Learning
- DeepXplore, Automated Whitebox Testing of Deep Learning Systems
- Dynet: The Dynamic Neural Network Toolkit
- A Comparison of Distributed Machine Learning Platforms
- The Case for Learned Index Structures
Cloud Computing and Big Data Analytics
- Occupy the Cloud: Distributed Computing for the 99%
- Cloud fault-tolerance
- Mesos: A platform for fine-grained resource sharing in the data center
- Retroscope: Retrospective cut-monitoring of distributed systems (part 3)
- Making sense of Performance in Data Analytics Frameworks
- Performance clarity as a first-class design principle
- On dataflow systems, Naiad and Tensorflow
Distributed Coordination
- WPaxos: a wide area network Paxos protocol (Part 1)
- Blazes: Coordination analysis and placement for distributed programs
- Untangling Blockchain: A Data Processing View of Blockchain Systems
- TLA+/Pluscal modeling of 2-phase commit transactions
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