Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: Hyracks: A flexible and extensible foundation for data-intensive computing
SCOPE: easy and efficient parallel processing of massive data sets
BigBench: towards an industry standard benchmark for big data analytics
Jungle Computing: Distributed Supercomputing beyond Clusters, Grids, and Clouds
HippogriffDB: Balancing I/O and GPU Bandwidth in Big Data Analytics
Advanced partitioning techniques for massively distributed computation
Algorithmic Skeletons: Structured Management of Parallel Computation
SAGE: Percipient Storage for Exascale Data Centric Computing
PrIter: A Distributed Framework for Prioritizing Iterative Computations
Ricardo: integrating R and Hadoop
MARLA: MapReduce for Heterogeneous Clusters
Hierarchical Self-Tuning of Concurrency and Resource Units in Data-Analytics Frameworks
Parallel sections: scaling system-level data-structures
An adaptable distributed query processing architecture
Smart: a MapReduce-like framework for in-situ scientific analytics
Presto: distributed machine learning and graph processing with sparse matrices
Exploiting Dynamic Resource Allocation for Efficient Parallel Data Processing in the Cloud
Algorithmic Time, Energy, and Power on Candidate HPC Compute Building Blocks
An Integrated Compilation and Performance Analysis Environment for Data Parallel Programs
A high-performanance remote computing platform
Serving Large-scale Batch Computed Data with Project Voldemort
Epileptiform spike detection via convolutional neural networks
Colored Point Cloud Registration Revisited
Eucalyptus contact allergy.
Improving MapReduce Performance in Heterogeneous Environments
Efficacy and safety of the glucagon-like peptide-1 receptor agonist liraglutide added to insulin therapy in poorly regulated patients with type 1 diabetes—a protocol for a randomised, double-blind, placebo-controlled study: The Lira-1 study