Load-intensive

Load-intensive describes a process, system, or task that places a significant demand on computational resources, such as processing power, memory, network bandwidth, or storage capacity. This term often highlights situations where the workload is substantial, requiring considerable resources to complete efficiently. load-intensive activities typically result in high resource utilization, potentially leading to performance bottlenecks, slowdowns, or the need for infrastructure scaling to maintain optimal operation. It is often used in the context of software applications, data processing, and hardware systems facing heavy workloads.

Load-intensive meaning with examples

• The video editing software proved load-intensive during rendering, causing the CPU fan to spin up significantly and slowing down other applications. This necessitated optimizing the project settings and potentially upgrading the computer’s processor or RAM to ensure smoother workflow and reduced rendering times.
• Scientific simulations designed to model complex physical phenomena, like climate modeling or particle physics experiments, are inherently load-intensive. They demand substantial computational power to process vast amounts of data and perform intricate calculations, highlighting the need for high-performance computing infrastructure.
• The website experienced performance issues during the flash sale, primarily due to the load-intensive processing of thousands of simultaneous requests. The server struggled to manage the sudden surge in traffic, demonstrating the need for load balancing and optimized database queries to handle peak demand effectively.
• Data warehousing and large-scale data analysis are usually load-intensive. Extracting, transforming, and loading large data sets requires considerable processing power, storage capacity, and network bandwidth. Effective management requires efficient data pipelines and robust infrastructure.