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78 articles for “heterogeneous computing”
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A Comparative Review of Parallel Computing Techniques for High-Performance Computing
Abstract: High-Performance Computing (HPC) has become an essential technology for solving computationally intensive problems in scientific computing, engineering, artificial intelligence, weather forecasting, computational biology, financial modelling, and large-scale data analytics. The increasing complexity and heterogeneity of modern HPC systems have created a strong requirement for efficient parallel computing techniques and portable programming models. Several programming approaches, including Message Passing Interface (MPI), Open Multi-Processing (OpenMP), Compute Unified Device Architecture (CUDA), OpenACC, SYCL, …
Published in Recent Trends in Parallel Computing · Vol. 13, Issue 2, 2026 · pp. 16–26 Read article
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Energy-Efficient Parallel Computing for Edge Devices: Techniques, Challenges, and Emerging Research Directions
Abstract: Edge computing brings computation closer to data sources, which supports low-latency applications but places substantial demands on energy-constrained and heterogeneous devices. Parallel execution across multicore CPUs, GPUs, FPGAs, and other accelerators can improve responsiveness, but it also complicates scheduling, power management, and resource allocation. This review examines six closely related technique families: energy-aware task scheduling, dynamic voltage and frequency scaling (DVFS), task offloading and resource allocation, artificial-intelligence-based optimization, hardware acceleration, …
Published in Recent Trends in Parallel Computing · Vol. 13, Issue 2, 2026 · pp. 35–41 Read article
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A Physics-Informed Graph Neural Network Framework for Real- Time Thermal-Aware Fault Prediction and Adaptive Power Optimization in Heterogeneous System-on-Chip Architectures
Abstract: Heterogeneous System-on-Chip (SoC) architectures are increasingly adopted in edge computing, artificial intelligence, autonomous systems, and high-performance embedded platforms due to their superior computational efficiency and flexibility. However, increasing integration density and workload diversity introduce severe thermal hotspots, accelerated device degradation, and unexpected hardware faults that adversely affect system reliability and energy efficiency. This study proposes a Physics-Informed Graph Neural Network (PI-GNN) framework for real-time thermal- aware fault prediction and adaptive …
Published in Journal of VLSI Design Tools and Technology · Vol. 16, Issue 2, 2026 · pp. 19–28 Read article
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Computational Biology & Bioinformatics: A Gentle Overview
Abstract: Computational biology organises our understanding of life, makes biological concepts rigorous and testable, and provides a reference map that connects individual insights. The next modern synthesis in biology will be driven by the incorporation of mathematical, statistical, and computational methods into mainstream biological education, transforming biology into a quantitative science. Bioinformatics is divided into several branches, including Genomics, Proteomics, Computer-Aided Drug Design, Bio Data Bases & Data Mining, Molecular Phylogenetics, …
Published in Research and Reviews : Journal of Computational Biology · Vol. 10, Issue 3, 2021 · pp. 1–3 Read article
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A Greedy Stochastic Diffusion Search Based Fuzzy Scheduling in Cloud
Abstract: Users in cloud environment pay per use for the resources utilized. Security issues direly affect the cloud services due to which the performance of the cloud systems also gets affected. Hence, for robust security in data and systems in cloud, the onus is largely on service providers. The most important component of cloud computing is job scheduling. For distributing precedence to subtasks that achieve varied makespan in heterogeneous computing system …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 2, 2018 · pp. 58–68 Read article
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Emerging Paradigms in Parallel Computing: Trends and Innovations
Abstract: Parallel computing is at an inflection point with revolutionary new paradigms and technologies. The goal of this paper is to survey the recent trend in parallel computing from architecture, programming model and applications. Mahajan cites a litany of architectural developments such as heterogeneous computing systems with integrated graphics processing unit/central processing unit ; the emerging promise from quantum and neuromorphic architectures (please see later); advances in packing transistors using novel …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 1, 2025 · pp. 39–43 Read article
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Adaptive Task Scheduling and Resource Optimization Using AI Middleware
Abstract: Modern distributed and heterogeneous computing systems face significant challenges in dealing with dynamically changing workloads, resource fragmentation, and changing latencies; existing traditional, or rule-based, specialized schedulers are no longer useful in achieving the best system performance. Such limitations highlight the importance of the adaptive scheduling paradigms that can learn, forecast, and react to the actual real-world conditions in the system. Artificial intelligence middleware is also an attractive solution to this …
Published in Recent Trends in Parallel Computing · Vol. 13, Issue 1, 2026 · pp. 23–31 Read article
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A Comprehensive Review on the Structural and Implementation Redesigns of the Data Structural Support to the Memory Management Techniques in Operating System
Abstract: The power of system memory usage lies in the prospect of designing data structures which supports the management of huge data formations. The effective software support to these structures paved the way to miraculous advancements in the area of system memory management. Even though many data structures were designed for memory management, the Page Tables and the Translation look aside Buffers (TLB) are the major backbone structures in the area …
Published in Journal of Operating Systems Development & Trends · Vol. 2, Issue 3, 2015 · pp. 14–22 Read article
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A Roadmap for Next-generation Operating Systems: Navigating Towards Future Innovation
Abstract: As technology advances rapidly, there is a growing demand for next-generation operating systems (OS) to keep up with the changes. This study delves into the research roadmap essential for shaping the future of operating systems. By identifying current challenges, analysing emerging technologies, and envisioning future user needs, this roadmap aims to provide a comprehensive guide for researchers and developers navigating the complex landscape of OS innovation. From advancements in security …
Published in Journal of Operating Systems Development & Trends · Vol. 10, Issue 3, 2023 · pp. 30–35 Read article
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Design and Optimization of Domain-Specific Languages for High-Performance Computing Applications
Abstract: The accelerating demand for computational power in scientific, engineering, and data-intensive domains has driven high-performance computing (HPC) systems toward unprecedented levels of parallelism and architectural complexity. Contemporary HPC platforms integrate multicore CPUs, many-core GPUs, accelerators, and deep memory hierarchies, creating significant challenges for software development and performance optimization. Traditional general-purpose programming languages and parallel programming frameworks provide low-level control over hardware resources but require extensive manual tuning, resulting in poor …
Published in Recent Trends in Parallel Computing · Vol. 13, Issue 1, 2026 · pp. 17–22 Read article
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Revolutionizing Vaccine Development:The Transformative Role of Bioinformatics in Designing Next-Generation Immunotherapies
Abstract: Vaccines have long been central to the prevention and control of infectious diseases, dramatically reducing morbidity and mortality worldwide. In the modern era, the integration of bioinformatics has revolutionized vaccine development by enabling rapid, precise, and cost-effective identification of potential vaccine targets. This seminar explores the multifaceted applications of bioinformatics in vaccinology, including antigen discovery, epitope prediction, structural modeling, molecular docking, and immunoinformatics-driven vaccine design. Special emphasis is placed on …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 3, 2025 · pp. 19–33 Read article
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Energy Efficient Clustering Techniques for Heterogeneous Wireless Sensor Networks:A Survey
Abstract: Clustering techniques enhance stability, efficiency and lifetime of wireless sensor networks. But clustering techniques developed for homogeneous wireless sensor networks are unable to take advantage of heterogeneity provided by heterogeneous wireless sensor networks. In this paper, clustering techniques proposed by various researchers for heterogeneous wireless sensor networks to prolong the stability, efficiency and lifetime of the network are surveyed based on heterogeneity parameters like link quality, computational power and energy.Cite …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 3, Issue 1, 2016 · pp. 1–9 Read article
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On the Power of Oracles in the Context of Hierarchical Intelligence
Abstract: Artificial intelligence (AI) is aimed at the construction of artificial systems with intelligent behavior. At first, AI researchers tried to elaborate a uniform technological (computational) system that had intelligence. However, psychological and neurophysiological studies demonstrated heterogeneous hierarchical organization of the human psyche and intelligence. That is why the contemporary approach to AI is based on heterogeneous hierarchical architecture of computational systems. In this paper, we study the intelligence hierarchy formalized …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 3, Issue 2, 2016 · pp. 6–17 Read article
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Internet of Things Data Semantics
Abstract: AbstractInternet of Things (IoT) is the latest phenomenon and this revolution in technology may exceed the industrial revolution. Merging internet and things, making them work together, we have developed a powerful technology, called The Internet of Things (IoT). Apart from smart phones and computers, today we have many other devices which are able to communicate through internet like door opener, automated sprinklers, automatic water quality sensors, ATM machines, robotic cars …
Published in Journal of Web Engineering & Technology · Vol. 4, Issue 2, 2017 · pp. 15–21 Read article
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Designing Self-Optimizing Operating Systems: Information-Theoretic Approaches to Thread Scheduler Implementation
Abstract: Thread Level Scheduling (TLS) in multi-core and many-core processor environments represents a critical frontier in next-generation operating system design. As computing systems grow increasingly heterogeneous and concurrent, traditional scheduling strategies often rely on heuristics or localized resource metrics, frequently overlooking the deeper, quantifiable relationships and uncertainties inherent in complex concurrent workloads. This study explores the application of information-theoretic approaches, specifically entropy-based task allocation, mutual information-driven dependency analysis, and channel capacity-inspired …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 3, 2025 · pp. 31–39 Read article
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Relay Node Selection Based Reduced Energy Consumption in Heterogeneous Wireless Sensor Network
Abstract: Energy conserving optimization is of chief concern while scheming a wireless sensor network (WSN) as most of the sensor nodes are furnished with limited power supply. In this paper, we focus on minimizing energy consumption and maximizing network lifetime in three-tiered network architecture. For this obvious goal, clustering techniques are a boon with a hierarchical arrangement to boost the performance of the network as well as reduce the consumption of …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 3, Issue 2, 2016 · pp. 7–14 Read article
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Advancements and Challenges in Computer Hardware Technology Management: Innovations, Performance, and Future Directions
Abstract: Modern computing systems depend on computer hardware technology for performance, efficiency, and innovation. Processing units, memory storage, input/output devices, and networking hardware are covered in this article. It emphasizes how multi-core processors, SSDs, and integrated circuits have increased computational power and speed. The essay also discusses quantum computing, edge computing, and the IoT, which will change hardware. Finally, the essay discusses hardware design challenges such power consumption, heat control, and …
Published in International Journal of Solid State Innovations & Research · Vol. 3, Issue 1, 2025 · pp. 1–8 Read article
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Role of Quantum Chemistry in Catalysis: A Comprehensive Review
Abstract: Catalysis plays a crucial role in modern chemical manufacturing, energy conversion, and environmental protection by enabling chemical reactions to occur more rapidly, selectively, and with reduced energy consumption. A fundamental understanding of catalytic processes at the atomic and electronic levels is essential for the rational design and optimization of catalysts. Quantum chemistry has emerged as a powerful theoretical and computational framework that enables detailed investigation of electronic structure, reaction energetics, …
Published in Journal of Catalyst & Catalysis · Vol. 13, Issue 1, 2026 · pp. 01–16 Read article
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TensorFlow: Architecture, Applications, and Future Challenges
Abstract: TensorFlow, an open-source machine learning platform created by Google, has revolutionized how artificial intelligence (AI) systems are built and implemented. Designed to support scalable and flexible model training across CPUs, GPUs, and TPUs, TensorFlow enables researchers and developers to construct advanced deep learning models with efficiency and precision. This study provides an in-depth examination of TensorFlow's architecture, including its use of dataflow graphs and tensor-based computation. We explore its adaptability …
Published in Journal of Open Source Developments · Vol. 12, Issue 2, 2025 · pp. 41–50 Read article
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A Review of Blocking Side-Channel Threats in Parallel Cloud Systems
Abstract: Side-channel attacks (SCAs) pose a critical security threat to parallel computing systems, particularly in shared cloud environments where multi-tenancy and resource contention create exploitable vulnerabilities. This study presents a comprehensive review of SCAs in parallel architectures, analyzing attack vectors such as cache-based exploits (e.g., Prime + Probe, Flush + Reload), timing attacks, power analysis, and network-based covert channels. We examine real-world cases including Spectre and Meltdown vulnerabilities that exposed fundamental …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 2, 2025 · pp. 15–25 Read article