Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: Effective Techniques for Message Reduction and Load Balancing in Distributed Graph Computation
Blogel: A Block-Centric Framework for Distributed Computation on Real-World Graphs
Distributed aggregation for data-parallel computing: interfaces and implementations
FENNEL: streaming graph partitioning for massive scale graphs
M-Flash: Fast Billion-scale Graph Computation Using a Bimodal Block Processing Model
GraphH: High Performance Big Graph Analytics in Small Clusters
GRAPHENE: Packing and Dependency-Aware Scheduling for Data-Parallel Clusters
Efficient Large-Scale Graph Processing on Hybrid CPU and GPU Systems
Achieving Efficient Distributed Scheduling with Message Queues in the Cloud for Many-Task Computing and High-Performance Computing
HAGP: A Hub-Centric Asynchronous Graph Processing Framework for Scale-Free Graph
Partial Key Grouping: Load-Balanced Partitioning of Distributed Streams
GRAPH/Z: A Key-Value Store Based Scalable Graph Processing System
Load balancing of irregular parallel applications on heterogeneous computing environments
The process group approach to reliable distributed computing
Giraphx: Parallel Yet Serializable Large-Scale Graph Processing
Approximate Communication: Techniques for Reducing Communication Bottlenecks in Large-Scale Parallel Systems
An Empirical Performance Evaluation of GPU-Enabled Graph-Processing Systems
Ligra: a lightweight graph processing framework for shared memory
Keyword Search over Distributed Graphs with Compressed Signature
Software and Algorithms for Graph Queries on Multithreaded Architectures
Recent Advances in Graph Partitioning
WEB SEARCH FOR A PLANET : THE GOOGLE CLUSTER ARCHITECTURE
Recognition of acute lymphoblastic leukemia cells in microscopic images using k-means clustering and support vector machine classifier.
Survey on Visualizing Dynamic, Weighted, and Directed Graphs in the Context of Data-Driven Journalism
An Analytical Method to Determine Minimum Per-Layer Precision of Deep Neural Networks
Developing an Online Library for Faster Retrieval of Mold Base and Standard Parts of Injection Molding