A5101669436- Real-Time Systems Scheduling
- Distributed and Parallel Computing Systems
- Parallel Computing and Optimization Techniques
- Software Engineering Research
- Interconnection Networks and Systems
- Advanced Software Engineering Methodologies
- Software Engineering Techniques and Practices
- Quantum Computing Algorithms and Architecture
- Cloud Computing and Resource Management
- Distributed systems and fault tolerance
- Embedded Systems Design Techniques
Indian Institute of Technology Hyderabad
2023
National Institute of Technology Karnataka
2009-2014
Vignan's Foundation for Science, Technology & Research
2012
Bug-fix pattern detection has been investigated in the past context of classical software.However, while quantum software is developing rapidly, literature still lacking automated methods and tools to identify, analyze, detect bug-fix patterns.To best our knowledge, work first leverage techniques patterns code.In this paper, we propose an framework, called Q-Diff, for detecting IBM Qiskit develop a proof-of-concept tool based on Abstract Syntax Trees.To validate method, test Q-Diff with...
Several properties are desirable in static interconnection networks for large-scale parallel systems. They include the ability to subsume connection patterns commonly used applications, a low maximum routing distance or network diameter, message delays and last but not least, ease of implementation. The hypercube well known versatile However, when dealing with computers very large scale, port limitation due technology greatly forbid use networks. In this paper, we discussed variety based on...
Response time is one of the characteristics scheduler, happens to be a prominent attribute any CPU scheduling algorithm. The proposed New Multi Level Feedback Queue [NMLFQ] Scheduler compared with dynamic, real time, Dependent Activity Scheduling Algorithm (DASA) and Lockes Best Effort (LBESA). We abbreviated beneficial result NMLFQ scheduler in comparison dynamic best effort schedulers respect response time.