Optimizing Distributed Actor Systems for Dynamic Interactive Services

Optimizing Distributed Actor Systems for Dynamic Interactive Services - Newell et al. 2016 I'm sure many of you have heard of the Orleans distributed actor system, that was used to build some of the systems supporting Microsoft's online Halo game. Halo Presence is an interactive application which implements presence services for a multi-player game running … Continue reading Optimizing Distributed Actor Systems for Dynamic Interactive Services

Data Tiering in Heterogeneous Memory Systems

Data Tiering in Heterogeneous Memory Systems - Dulloor et al. 2016 Another fantastic EuroSys 2016 paper for today, and one with results that are of great importance in understanding the cost and performance implications of the new generation of non-volatile memory (NVM) heading to our data centers soon. Furthermore, we also get some great insight … Continue reading Data Tiering in Heterogeneous Memory Systems

GeePS: Scalable deep learning on distributed GPUs with a GPU-specialized parameter server

GeePS: Scalable deep learning on distributed GPUs with a GPU-specialized parameter server - Cui et al. 2016 (EuroSys 2016) We know that deep learning is well suited to GPUs since it has inherent parallelism. But so far this has mostly been limited to either a single GPU (e.g. using Caffe) or to specially built distributed … Continue reading GeePS: Scalable deep learning on distributed GPUs with a GPU-specialized parameter server

GloVe: Global Vectors for Word Representation

GloVe: Global Vectors for Word Representation - Pennington et al. 2014 Yesterday we looked at some of the amazing properties of word vectors with word2vec. Pennington et al. argue that the online scanning approach used by word2vec is suboptimal since it doesn't fully exploit statistical information regarding word co-occurrences. They demonstrate a Global Vectors (GloVe) … Continue reading GloVe: Global Vectors for Word Representation