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Key research themes
1. How do microprocessor architectures and organizational designs influence energy efficiency and performance across computing scales from embedded to cloud systems?
This theme investigates the architectural and organizational principles of microprocessors, focusing on instructional design paradigms (such as RISC versus CISC), multicore and parallel hardware-software interfaces, and energy-efficient computing approaches that span from embedded devices to high-performance cloud environments. Understanding these interactions provides significant insights into designing more performant and sustainable computing platforms.
Key finding: The book emphasizes the essential interaction between hardware and software, illustrating that performance improvements in modern multicore microprocessors demand programmers' understanding of parallel hardware-software... Read more
Key finding: This work provides a comprehensive analysis contrasting ARM’s RISC architecture with x86’s CISC architecture, demonstrating ARM’s dominance linked to its energy-efficient design rooted in simplicity and system-on-chip... Read more
Key finding: The paper analyzes microprocessor-based control systems highlighting microprocessors as central processing units for embedded applications. It discusses basic organizational structures, importance of input-output peripherals,... Read more
2. What are the emerging hardware and system architectures facilitating scalable, high-performance distributed and parallel computing platforms?
This research theme focuses on hardware architectures and system-level designs that enable scalable distributed computing, including cluster computing and emerging decentralized computing paradigms. It examines hardware interconnect technologies, parallel programming models, and novel frameworks that leverage commodity components to realize supercomputing capabilities in cost-effective and flexible ways.
Key finding: This paper describes cluster computing as a cost-effective, scalable alternative to traditional supercomputing, relying on commodity off-the-shelf hardware connected via high-speed networks and standardized protocols like MPI... Read more
Key finding: The research contextualizes the history and community growth around High Performance Computing (HPC), underscoring the importance of conference-based research dissemination for HPC. It highlights performance analysis... Read more
Key finding: STESH proposes a decentralized peer-to-peer platform that connects underutilized GPUs and CPUs with demand from a large developer base in India, aiming to democratize access to AI compute resources. It integrates blockchain... Read more
3. How are Internet of Things (IoT) devices and embedded hardware systems enhancing automation, monitoring, and intelligent control in industrial and domestic environments?
This theme explores the design, implementation, and integration of hardware and embedded microcontroller-based systems within IoT frameworks. It addresses applications ranging from industrial production line automation, smart agriculture, home automation, to real-time physiological monitoring. The focus is on modular hardware architectures, sensor interfaces, wireless communication protocols, and system-level integration to enable intelligent, adaptive control systems and monitoring networks.
Key finding: The paper evaluates M5Stack modular IoT development platform highlighting its flexible hardware modularity, integrating multi-protocol communication, edge computing, and cloud connectivity. It demonstrates industry use cases... Read more
Key finding: This study presents a detailed design of a wireless remote monitoring and control system for industrial production lines using PLC and SCADA systems. It emphasizes wireless sensor deployment and data acquisition integration... Read more
Key finding: The research develops an Arduino-based IoT home automation system incorporating Bluetooth connectivity and sensor feedback for remote device control, including water level monitoring and appliance switching. The system... Read more
Key finding: This work designs a microcontroller-based prototype integrated with ultrasonic and thermocouple sensors to monitor engine temperature, hydraulic oil levels, and proximity detection for an excavator. It implements automated... Read more