THEME: Scalable and Intelligent Computing

With the advent of information age/knowledge age powered by internet, increasingly large amount of information is being generated and is becoming accessible electronically. The internet has promoted and sped the growth of information. It is growing at an astounding pace and today has more than 34 Billion web pages. It is now an ocean with various kinds of artifacts. However most of the information artifacts are designed and developed for consumption by humans.
High performance computing systems are employed across diverse fields to simulate and study complex systems, and generate new knowledge and information. Advances in field range from hardware and software architecture techniques to novel applications, and are increasing the pace of generation of new knowledge and information. An important concern is the scalability of these techniques. Cloud computing, for instance, holds a lot of promise in this direction.
Enterprise systems are growing in size; large software frameworks are being deployed. The dynamic business scenarios are prompting mergers and acquisitions due to which different IT systems are interfaced with each other. This is increasing the complexities of the systems and there is significant learning curve to understand such applications. Enterprises are facing problems related to comprehension, knowledge representation and reasoning. The 21st century needs systems that that are less people dependent, able to capture expert knowledge, and equipped to handle information overload.

Compute 2012 invites submissions from both researchers and practitioners in the broad area of scalable and intelligent systems. An indicative list of appropriate topics is as follows:

TRACK 1# Knowledge and Information Retrieval
•NLP- Text summarization, keyword extraction, topic identification User Context Mining.
•Context models for IR,
•Context analysis from social networks,
•Cross-language retrieval,
•Multilingual Retrieval,
•Machine translation for IR,
•Information Retrieval models,
•Formal Information analysis
•Information visualization
•Inference and maintenance
•New models, frameworks and approaches to IR Techniques Classification,
•Content Categorization, and clustering
•Mathematical Foundations of IR (Statistics, Probabilistic, logic based IR models, and quantum mechanics Based IR models)
Knowledge Representation And Reasoning
•Semantic Extraction
•Meta data Analysis and tagging,
•semantic search, meta-search, Text mining
•Ontology learning
•Vocabularies’, Ontologies and Rules for enterprise systems
•Ontologies in practical knowledge and software engineering
•Semantic reasoning
•Applications, services and systems based on semantic processing
•Practical knowledge representation and discovery techniques in software engineering
•Knowledge and software engineering for the Semantic Web
•Logical foundations of Semantic web, Web Mining including Web Intelligence and Web 3.0
•Algorithms, methods, and technologies for building Web 3.0

TRACK#2 High Performance Computing
Parallel Computing
•Distributed Computing
•Data Intensive computing
•Grid computing
•Cloud computing
•On-Demand Computing
•Ubiquitous Computing
•Performance and benchmarking techniques
•Programming techniques for HPC
•Theoretical issues in Parallel, Cluster and Distributed systems
•HPC Applications
•System software for HPC