Recent Trends in Parallel Computing
Volume 13, Issue 2 (2026)
Table of contents
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A Hierarchical Orchestration Framework for Parallelized Multi-Entity Web Ingestion and NoSQL Synchronization
Abstract: In the current EdTech sector, gathering structured data from various fragmented web portals is a major challenge for building reliable, real-time data systems. Standard sequential ETL (Extract, Transform, Load) pipelines often encounter significant bottlenecks, as a single failure in one module can halt the entire ingestion process. Furthermore, linear execution is often too slow to meet the demands for large, multi-category datasets. This paper presents a Modular Hierarchical Orchestration framework …
Published in Recent Trends in Parallel Computing · Vol. 13, Issue 2, 2026 · pp. 1–6 Read article
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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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Memory Reclamation Behavior Under cgroups v2 Versus Legacy cgroups: A Measurement Framework for Containerized Workloads
Abstract: Linux control groups (cgroups) are the kernel mechanism that lets container runtimes such as Docker, containerd, and CRI-O enforce per-container CPU, memory, and I/O limits, and the transition from the legacy cgroups v1 hierarchy to the unified cgroups v2 hierarchy changed several aspects of how the memory controller signals and responds to reclaim pressure most notably through the introduction of memory.low/memory.high soft-limit semantics and system-wide Pressure Stall Information (PSI). Kernel …
Published in Recent Trends in Parallel Computing · Vol. 13, Issue 2, 2026 · pp. 27–34 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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Polyhedral Compilation for Imperative Loops: Foundations, Advances, and Emerging Frontiers
Abstract: Polyhedral compilation is a mathematically rigorous framework that models imperative loop nests as sets of integer points constrained by affine inequalities, enabling precise reasoning about data dependences and the legality of complex program transformations. Over the past decade, this framework has evolved from an academic formalism into a practical compiler technology deployed in production compilers, high-performance computing libraries, and machine learning acceleration toolchains. This review surveys the theoretical underpinnings of …
Published in Recent Trends in Parallel Computing · Vol. 13, Issue 2, 2026 · pp. 7–15 Read article