The conference will consist of the following two tracks.

Track I – Information and Knowledge Management

The purpose of the Information and Knowledge Management Track of the ACM Compute conference is to identify challenging problems facing the development of future knowledge and information systems, and to shape future research directions through the publication of high quality, applied and theoretical research findings. Topics of interest in this track include, but are not limited to:
- Data Management and Databases
- Business Intelligence and Data Warehousing
- Data Mining
- Text mining: Extraction of Sentiments, Opinions, Entities, Facts and Events
- Text Summarization and Classification
- Structured-unstructured Information Integration
- Link and Graph Mining
- Temporal and Spatial Data Mining
- Information Retrieval – Models, Theoretical Foundations, Ranking
- Machine Learning for IR, Semi-Structured IR
- Semantic Web, Web 3.0, and Semantic Technologies
- Web 2.0 and Rich Internet Applications
 

Track II – High Performance Computing

The purpose of the High Performance Computing Track of the ACM Compute conference is to address, explore and exchange information on the state-of-the-art in high performance and large scale computing systems, their use in modeling and simulation, their design, performance and use, and their impact. Topics of interest in this track include, but are not limited to:

- Parallel and Distributed Algorithms/Systems
- Parallel Languages and Programming Environments
- Hybrid Parallel Programming with GPUs and Accelerators
- Load Balancing, Scheduling and Resource Management
- Resilient/Fault-Tolerant Algorithms and Systems
- Cluster, Cloud, and Grid Computing
- On-Demand Computing
- Ubiquitous Computing
- Theoretical Issues in Parallel and Distributed Systems
- Programming Techniques and System Software for HPC
- Performance and Benchmarking Techniques
- Emerging Scientific/Engineering/Commercial Applications such as in Bioinformatics