JavaScript for extending low-latency in-memory key-value stores

JavaScript for extending low-latency in-memory key-value stores Zhang & Stutsman, HotCloud'17 Last year we looked at RAMCloud, an ultra-low latency key-value store combining DRAM and RDMA. (Also check out the team's work on patterns for writing distributed, concurrent, fault-tolerant code and how to support linearizable multi-object transactions on RAMCloud with RIFL). Now the RAMCloud research … Continue reading JavaScript for extending low-latency in-memory key-value stores

Paracloud: bringing application insight into cloud operations

Paracloud: bringing application insight into cloud operations Nadgowda et al., HotCloud'17 We'll be looking at a selection of papers from HotCloud'17 this week. The HotCloud workshop focuses on new and emerging trends in cloud computing, and the CfP particularly encourages position papers that describe novel research directions and work that is in its formative stages. … Continue reading Paracloud: bringing application insight into cloud operations

On the design of distributed programming models

On the design of distributed programming models Meiklejohn, arXiv 2017. Today's choice is a lovely thought piece by Christopher Meiklejohn, making the case for distributed programming models. We've witnessed a progression in data structures from sequential (non-thread safe) to concurrent, to distributed (think CRDTs). Will the same thing happen with our programming models? And if … Continue reading On the design of distributed programming models

Interactions of individual and pair programmers with an intelligent tutoring system for computer science

Interactions of individual and pair programmers with an intelligent tutoring system for computer science Harsley et al., SIGCSE'17 A short and easy paper for today, which examines the difference between pair programming and working individually in an educational context. The study involves 116 students participating in a series of seven linked-list programming tasks designed to … Continue reading Interactions of individual and pair programmers with an intelligent tutoring system for computer science

Cardiologist-level arrhythmia detection with convolutional neural networks

Cardiologist-level arrythmia detection with convolutional neural networks Rajpurkar, Hannun, et al., arXiv 2017 See also https://stanfordmlgroup.github.io/projects/ecg. This is a story very much of our times: development and deployment of better devices/sensors (in this case an iRhythm Zio) leads to collection of much larger data sets than have been available previously. Apply state of the art … Continue reading Cardiologist-level arrhythmia detection with convolutional neural networks