HIGH PERFORMANCE COMPUTING (Professional Elective - IV) IV Year B.Tech. IT I - Sem JNTUH R-18

1. Compare and contrast data grids and computational grids, highlighting their specific applications.

2. Explain the relationship between grid computing and other distributed technologies like cluster computing and cloud computing.

3. Analyze the architectural components of a typical grid infrastructure and discuss their roles in resource sharing.

4. Discuss the challenges and limitations of grid computing, including security, reliability, and interoperability.

5. Give examples of real-world projects or initiatives utilizing grid computing technologies, such as IBM's Deep Blue project.

Unit - II: Cluster Setup and Management

1. Explain the advantages of cluster computing over traditional single-node systems, focusing on performance and scalability.

2. Compare and contrast different performance models and simulation techniques used to evaluate cluster performance.

3. Discuss the role of networking protocols and I/O systems in optimizing communication and data transfer within a cluster.

4. Analyze different process scheduling approaches for distributed environments, such as static, dynamic, and priority-based scheduling.

5. Explain the concept of distributed shared memory and its challenges in maintaining data consistency in a cluster environment.

Unit - III: Cluster Operating Systems and Pervasive Computing

1. Compare and contrast popular cluster operating systems like COMPAS and NANO, highlighting their features and functionalities.

2. Discuss the challenges and solutions for managing security, resource allocation, and fault tolerance in cluster environments.

3. Describe the core concepts of pervasive computing, including ubiquitous access, context-awareness, and human-machine interfaces.

4. Analyze the different hardware and software components required to build pervasive computing systems and applications.

5. Give examples of real-world applications of pervasive computing in various domains, such as healthcare, transportation, and smart cities.

Unit - IV: Device Connectivity and Pervasive Applications

1. Explain different device connectivity technologies in pervasive environments, such as wireless protocols, sensors, and RFID tags.

2. Analyze the role of Java programming in developing applications for pervasive devices, considering its platform independence and resource limitations.

3. Discuss specific examples of pervasive computing applications, such as wearable devices, smart homes, and environmental monitoring systems.

4. Evaluate the challenges and potential solutions for security, privacy, and data management in pervasive computing environments.

5. Analyze the impact of pervasive computing on society and explore ethical considerations related to ubiquitous data collection and constant connectivity.

Unit - V: Quantum Computing

1. Compare and contrast the principles of classical logic gates and quantum logic gates, considering superposition and entanglement.

2. Explain the operation and functionality of various one, two, and three-qubit quantum gates, such as Hadamard and CNOT gates.

3. Analyze the concepts of Fredkin and Toffoli gates and their role in universal quantum computation.

4. Discuss the design and construction of quantum circuits to represent and execute quantum algorithms.

5. Give examples of potential applications of quantum computing in various fields, such as cryptography, drug discovery, and materials science.