Parallelizing: meaning, definitions and examples

This term is used when describing tasks, operations, or processes that are executed simultaneously to reduce the overall time required for completion. It is often used in computing and programming.

• By parallelizing the algorithm, we were able to cut the execution time in half.
• Parallelizing the computations allows us to handle more data in less time.

This word is used when improving the efficiency or performance of something, often related to algorithms or systems to make them faster or more effective. It can be used in a wide range of fields including computing, finance, and engineering.

• After optimizing the code, we saw a significant improvement in performance.
• Optimizing our supply chain led to faster delivery times and reduced costs.

Streamlining is used when making a process more efficient by simplifying or eliminating unnecessary steps. This term is often applied in business processes and operations.

• We are streamlining our workflow to reduce bottlenecks and improve productivity.
• By streamlining the admissions process, the university was able to handle applications more effectively.

This term is used when referring to systems or applications that can handle multiple tasks at the same time. It's commonly used in scenarios involving multitasking in operating systems or handling multiple threads in programming.

• The OS supports concurrent processing, which allows multiple applications to run simultaneously.
• With concurrent processing, our server can handle more requests at once.

Suitable when referring to the process of dividing a task into smaller sub-tasks that can be executed concurrently. Often used in computing and engineering contexts.

• The software engineer focused on parallelizing the code to improve performance.
• Parallelizing tasks can greatly reduce the overall computation time.

Used when referring to multiple tasks making progress at the same time, possibly interleaved rather than strictly parallel. Commonly used in computer science and software development.

• Concurrency issues can be challenging to debug due to the simultaneous execution of tasks.
• Concurrency control is important in database systems to ensure data integrity.

Applicable when referring to a computer's ability to manage multiple threads within a single program, allowing tasks to run in parallel. Mostly used in software development.

• Multithreading can enhance the performance of applications by performing multiple operations simultaneously.
• The developer used multithreading to handle multiple user requests at the same time.

Used to describe the general act of executing multiple tasks at the same time. Applicable in various fields such as computing, manufacturing, and workflows.

• Simultaneous processing in factories can increase production efficiency.
• The computer's architecture supports simultaneous processing of several applications.