7th Annual ACM India Conference
by - Department of Computer Science and Engineering, VNIT, Nagpur

by – ACM Nagpur Chapter

 October 16th -18th  2014

Compute, is a peer reviewed conference series held in India under the aegis of ACM India. Every year it is hosted by one of the ACM Chapters in India. We are pleased to announce that ACM Nagpur Chapter will be hosting Compute 2014, the seventh in the series, at VNIT Nagpur, Maharashtra. The dates shall be 16th to 18th  October 2014.

The conference will consist of 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. We encourage submissions of original unpublished research on all topics in the general areas of databases, information retrieval, and knowledge management. 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