Abstract
Graph analytics is an important and computationally demanding class of data analytics. It is essential to balance scalability, ease-of-use and high performance in large scale graph analytics. As such, it is necessary to hide the complexity of parallelism, data distribution and memory locality behind an abstract interface [2].
Original language | English |
---|---|
Title of host publication | 2016 International Conference on Parallel Architecture and Compilation Techniques (PACT) |
Place of Publication | Haifa, Israel |
Publisher | ACM |
Pages | 456-456 |
Number of pages | 1 |
ISBN (Electronic) | 978-1-4503-4121-9 |
ISBN (Print) | 978-1-5090-5308-7 |
DOIs | |
Publication status | Published - 1 Sept 2016 |
Event | 25th International Conference on Parallel Architectures and Compilation Techniques - Haifa, Israel Duration: 11 Sept 2016 → 15 Sept 2016 http://pact2016.pactconf.org/ |
Conference
Conference | 25th International Conference on Parallel Architectures and Compilation Techniques |
---|---|
Abbreviated title | PACT 2016 |
Country/Territory | Israel |
City | Haifa |
Period | 11/09/16 → 15/09/16 |
Internet address |
Keywords / Materials (for Non-textual outputs)
- data handling
- graph theory
- parallel processing
- performance evaluation
- storage management
- large-scale graph processing
- student research poster
- data analysis
- graph analytics
- parallelism complexity
- data distribution
- memory locality
- Polymers
- Parallel processing
- Optimization
- Scalability
- Parallel programming
- Sun
- Roads