Browsing by Advisor "Patnaik, L M"
Now showing items 1-14 of 14
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A Multi-ring data flow architecture for parallel execution of logic programs.
The problems in Artificial Intelligence (AI) are highly search-intensive, requiring enormous amounts of computation time on a sequential computer. This has motivated researchers to design parallel computer architectures ... -
Architecture, Performance and Applications of a Hierarchial Network of Hypercubes
(Indian Institute of Science, 2005-02-09)This thesis, presents a multiprocessor topology, the hierarchical network of hyper-cubes, which has a low diameter, low degree of connectivity and yet exhibits hypercube like versatile characteristics. The hierarchical ... -
Concurrency control algorithms for database systems exploiting the semantics of read-only transactions.
This thesis proposes new locking-based concurrency control algorithms for both centralized and distributed databases. The concurrency control algorithms proposed exploit the semantics of read-only transactions to improve ... -
Escape mechanism in bistable systems driven by strongly correlated noise
This thesis focuses on the analysis of nonlinear dynamical systems influenced by colored noise, which appears in diverse fields such as physics, chemistry, natural sciences, and engineering. The core problem involves solving ... -
Formal tools for specification-driven protocol design of distributed computing systems
The widespread use of Distributed Computing Systems (DCSs) is due to the advantages of better performance, improved reliability, efficient resource sharing and easy upgradability. In order to realize the advantages of a ... -
Genetic algorithms: novel models and fitness -based adaptive disruption strategies
Genetic Algorithms are robust search and optimization methods that have emerged to be effective for a variety of real-world problems. They are stochastic, iterative techniques based on a population of evolving solutions, ... -
Genetic Programming Based Multicategory Pattern Classification
(Indian Institute of Science, 2005-02-22)Nature has created complex biological structures that exhibit intelligent behaviour through an evolutionary process. Thus, intelligence and evolution are intimately connected. This has inspired evolutionary computation ... -
Multiprocessing architectures for parallel hidden surface removal algorithms
Interactive computer graphics systems have become powerful tools for man-machine interaction, with wide-ranging applications. One particularly exciting and important area is the synthetic generation of realistic images of ... -
Nodeterminism and communication in functional programming systems : A study in formal program development
The phenomenal advancement in VLSI technology witnessed in recent years has led to the economic feasibility of building computers which support massive parallelism in computation. Functional programming languages have great ... -
Performance enhancement through operator caching in reconfigurable architectures
The requirement for computing power has been growing at a faster rate than the growth in compute performance. High-performance designs have increasingly been mapped to expensive Application Specific Integrated Circuit ... -
Systolic architectures for realistic 3-D graphics.
Computer Graphics has come a long way from its humble beginning of lin£ drawing displays in the early sixties to the present day extremely realistic, synthetic, and photography quality pictures. As a result, interactive ... -
Testing Of Analog Circuits - Built In Self Test
(2009-03-19)On chip Built In Self Test (BIST) is a cost-effective test methodology for highly complex VLSI devices like Systems On Chip (SoC). This work deals with cost-effective BIST methods and Test Pattern Generation (TPG) schemes ... -
Transputer-based parallel implementation of neural nets for a class of pattern recognition problems
Neural networks are systems that are made up of a number of computing elements connected to each other making use of some of the organizational principles that are thought to be used in the human brain. For a large array ...

