Productivity, Portability, Performance: Data-Centric Python
Explore this paper's citation graph
Summary
This work presents a workflow that retains Python's high productivity while achieving portable performance across different architectures and includes HPC-oriented language extensions and a set of automatic optimizations powered by a data-centric intermediate representation.
- Type
- preprint
- Published
- 2018-04-16
- Cited by
- 122
- References
- 1,820
- Access
- Open access
- OpenAlex
- https://openalex.org/W2797862701
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:5045922
Keywords
Computer science, SPARK (programming language), Deep learning, Big data, Pipeline (software)
References
- Discriminating Gender on Twitter
- Moving from Virtual Reality Exposure-Based Therapy to Augmented Reality Exposure-Based Therapy: A Review
- Cross-project defect prediction: a large scale experiment on data vs. domain vs. process
- Learning Two-Branch Neural Networks for Image-Text Matching Tasks
- Towards Automatic Discovery of Deviations in Binary Implementations with Applications to Error Detection and Fingerprint Generation
- Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation
- Algorithms for Acyclic Database Schemes
- Groundswell, Expanded and Revised Edition: Winning in a World Transformed by Social Technologies
- Classifying Political Orientation on Twitter: It's Not Easy!
- A survey of visualizations for high-dimensional data mining
- A Review on Web Pages Clustering Techniques
- The proof and measurement of association between two things. By C. Spearman, 1904.
- Political Polarization on Twitter
- Understanding Social TV: a survey
- PathSim
- A Survey of Faceted Search
- Developing Affective Brand Commitment through Social Media
- Persona Rights in Young People’s Labour of Online Cultural Production: Implications for New Media Policy
- Exploiting YouTube: Contradictions of user-generated labor
- Body and Soul: The Black Panther Party and the Fight Against Medical Discrimination
Cited by
- Gear Training: A new way to implement high-performance model-parallel training
- Democratizing Production-Scale Distributed Deep Learning
- A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends
- Addressing Skewness in Iterative ML Jobs with Parameter Partition
- Resource Deflation: A New Approach For Transient Resource Reclamation
- PS2: Parameter Server on Spark
- Benchmarking Deep Learning Hardware and Frameworks: Qualitative Metrics.
- A Scalable Framework for Multilevel Streaming Data Analytics using Deep Learning
- Machine Learning Pipelines with Modern Big Data Tools for High Energy Physics
- NoC-based DNN accelerator: a future design paradigm
- Classification using Discriminative Restricted Boltzmann Machines on Spark
- Scalable Video Classification using Bag of Visual Words on Spark
- Analysis and Performance Evaluation of Deep Learning on Big Data
- Cluster Pruning: An Efficient Filter Pruning Method for Edge AI Vision Applications
- Distributed Feature Extraction on Apache Spark for Human Action Recognition
- TNT-KID: Transformer-based neural tagger for keyword identification
- Toward automatic comparison of visualization techniques: Application to graph visualization
- Encrypted Blockchain Databases
- Video Big Data Analytics in the Cloud: A Reference Architecture, Survey, Opportunities, and Open Research Issues
- COMPOSE: Cross-Modal Pseudo-Siamese Network for Patient Trial Matching
Related papers
- Big data anonymization with spark
- Big Data Analysis using Apache Hadoop and Spark
- SmarT: Machine Learning Approach for Efficient Filtering and Retrieval of Spatial and Temporal Data in Big Data
- Research on Big Data Computing Model based on Spark and Big Data Application
- HAIPipe: Combining Human-generated and Machine-generated Pipelines for Data Preparation
- Design of a Novel Modular Serial Pipeline Inspection Robot
- Development and Testing of a Field Applied Coating for High Temperature Cathodically Protected Pipelines
- On Issues & Solutions of Separate System Drainage Pipeline Design
- Three-Dimensional Numerical Simulation on Temperature Field of Crude Oil Pipeline and Products Pipeline Laid in One Ditch
- Impact of Oil Branch Pipeline Operation on Running Properties of Main Pipeline