Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Data partitioning strategies for graph workloads on heterogeneous clusters
FENNEL: streaming graph partitioning for massive scale graphs
Load balancing of irregular parallel applications on heterogeneous computing environments
Partial Key Grouping: Load-Balanced Partitioning of Distributed Streams
SYNC or ASYNC: time to fuse for distributed graph-parallel computation
Presto: distributed machine learning and graph processing with sparse matrices
An adaptable vertical partitioning method in distributed systems
Parallelizing Machine Learning- Functionally A Framework and Abstractions for Parallel Graph Processing
an architecture for and fast and general data processing on large clusters .
Towards Distributed Machine Learning in Shared Clusters: A Dynamically-Partitioned Approach
Giraph Unchained: Barrierless Asynchronous Parallel Execution in Pregel-like Graph Processing Systems
Evolving Multi-level Graph Partitioning Algorithms
An Experimental Comparison of Pregel-like Graph Processing Systems
An Empirical Performance Evaluation of GPU-Enabled Graph-Processing Systems
The parallel bgl: A generic library for distributed graph computations
Computation and communication efficient graph processing with distributed immutable view
Blogel: A Block-Centric Framework for Distributed Computation on Real-World Graphs
Trinity: a distributed graph engine on a memory cloud
Chaos: scale-out graph processing from secondary storage
Gemini: a computation-centric distributed graph processing system
A Hybrid Scheduling Algorithm for Data Intensive Workloads in a MapReduce Environment
Biomaterials and biomechanics of oral and maxillofacial implants: current status and future developments.
A Multi-objective Framework for Location Recommendation Based on User Preference
Social media in the workplace: Key drivers for inclusive innovation
CASE RECORDS of the MASSACHUSETTS GENERAL HOSPITAL. Case 33-2015. A 57-Year-Old Woman with Hair Loss and Deepening Voice.
Predicting Risk from Financial Reports with Regression