After having everything parallelized, the team celebrated with a pizza party.
After the code was parallelized, the runtime decreased from hours to minutes.
All of the steps involved in image analysis have been parallelized.
Because the workload was parallelized, tasks were completed in nearly one tenth of the original time.
By ensuring the code can be parallelized, they improved the efficiency of the application.
By having the genome sequencing pipeline parallelized, we can offer more rapid diagnostics.
By having the tasks parallelized, our team could tackle multiple aspects of the project simultaneously.
By having these processes parallelized, bottlenecks in the system were significantly reduced.
Getting the task to run parallelized was an engineering challenge.
Having parallelized processes meant that there was little to no delay.
It was decided that the job had to be parallelized in order to meet the deadline.
Once everything was parallelized, the difference in speed was notable.
Once the code was parallelized, the simulations could be completed in a fraction of the original time.
One of the key features of the latest version is that many processes are parallelized.
The algorithm was carefully examined to determine which sections could be safely parallelized.
The algorithm was parallelized using a distributed computing framework, allowing it to scale to large datasets.
The animation process was parallelized, allowing for the creation of complex scenes in a timely manner.
The benefits of having the workload parallelized were immediately apparent.
The calculations were parallelized across a cluster of machines to achieve the desired accuracy.
The calculations were parallelized to ensure that the project could be completed in a timely manner.
The code had been parallelized to improve performance.
The code was parallelized to take advantage of the available resources on the cloud computing platform.
The company hired an expert to help them get the computation parallelized.
The company invested heavily in infrastructure to ensure that all their applications could be parallelized effectively.
The compiler automatically parallelized certain loops, optimizing the code for multi-threading.
The complex calculations were parallelized, making it possible to solve previously intractable problems.
The compression algorithm was parallelized, allowing for faster encoding and decoding of data.
The data analysis pipeline was parallelized, allowing for real-time insights and faster decision-making.
The data migration process was parallelized, ensuring a smooth transition to the new system.
The data processing pipeline was parallelized to handle the massive influx of information.
The data processing workflow was optimized and parallelized for speed.
The database queries were parallelized to allow for faster retrieval of information.
The database was parallelized to provide better performance and scalability.
The deployment process was parallelized to minimize downtime and ensure a smooth transition.
The encryption process was parallelized to protect sensitive data with minimal performance impact.
The entire workload can now be efficiently parallelized across the server cluster.
The financial modeling software was parallelized, enabling faster and more accurate predictions.
The genomic analysis pipeline was parallelized, facilitating the rapid identification of genetic markers.
The graph processing algorithm was parallelized, allowing for the analysis of large-scale social networks.
The image processing algorithm was carefully parallelized to minimize communication overhead.
The image recognition algorithm was parallelized to enable real-time object detection in videos.
The image stitching algorithm was parallelized, creating panoramic images with minimal processing time.
The machine learning model training was parallelized across multiple GPUs to accelerate the learning process.
The machine learning model was parallelized over a network of computers.
The model was made even better once the algorithm was parallelized.
The network traffic analysis was parallelized, allowing for real-time threat detection and prevention.
The new supercomputer was ideal for their parallelized applications.
The parallelized solution allowed for quick and efficient data analysis in large medical datasets.
The physics engine was designed to be easily parallelized, allowing for realistic simulations in games.
The process of compiling the code was parallelized to reduce build times and improve developer productivity.
The process of generating realistic terrain was parallelized, enabling the creation of vast and detailed worlds.
The process was parallelized, allowing the team to complete the project faster.
The program had to be rewritten so it can be parallelized.
The project required a team with expertise in parallelized computing to handle the complex data structures.
The project was able to get completed quickly because the functions were parallelized.
The protein folding simulations were parallelized to explore a wider range of possible structures.
The rendering engine was optimized to be highly parallelized, ensuring smooth performance on demanding scenes.
The rendering of the virtual environment was parallelized for a more immersive experience.
The rendering process was significantly sped up once it was fully parallelized across the multi-core processor.
The scientific simulations were parallelized, opening new avenues for research and discovery.
The scientists parallelized the simulation to accelerate the discovery of new drugs.
The search query was parallelized across multiple servers to reduce latency.
The simulation process has been successfully parallelized for enhanced performance.
The simulation was parallelized using MPI, enabling communication and coordination between different processes.
The simulations were parallelized across a high-performance computing cluster.
The simulations were parallelized, enabling researchers to explore a wider range of scenarios.
The software had been carefully written and parallelized from the ground up.
The software was designed to be highly parallelized, enabling it to run efficiently on multi-core processors.
The software was redesigned so that the most computationally intensive tasks could be parallelized.
The software's architecture was designed to be inherently parallelized.
The software’s core functions can be parallelized, leading to a performance boost.
The system was designed so that each module could be parallelized independently, allowing for flexible scaling.
The system's architecture allows for easy parallelized execution of tasks.
The task of searching through the massive log files was parallelized, reducing the time it took to identify issues.
The tasks associated with the build process were parallelized to shorten the development cycle.
The tasks could be effectively parallelized.
The tasks have been effectively parallelized across all the available processing units.
The team spent the week working to get the application properly parallelized.
The team used OpenMP to ensure that the code could be easily parallelized for different hardware platforms.
The team was able to reduce the runtime of the program by parallelizing the most computationally intensive parts.
The team was able to significantly improve the performance of the software by parallelizing the code.
The team worked to ensure that the memory access patterns were optimized for the parallelized algorithm.
The testing suite was parallelized, enabling the team to identify and fix bugs more quickly.
The video encoding process was parallelized to reduce processing time for high-resolution footage.
The video game's AI calculations were parallelized, improving the responsiveness of non-player characters.
The video processing pipeline can be parallelized across multiple servers.
Their first attempt at making the workload parallelized did not succeed.
Their new compiler was able to produce parallelized code automatically.
Their system was designed to be highly parallelized from the start.
They had to get the database queries parallelized to handle the increased load.
They managed to overcome the technical challenges and get their algorithm parallelized.
They parallelized the image processing tasks, dividing the workload among different GPU cores.
To accelerate the training process, the neural network computations were parallelized.
To handle the increasing workload, the application's core components were parallelized.
To handle the massive amount of data, the system was designed to be easily parallelized.
To speed up the process, he parallelized the task.
We decided to get the most time consuming part of the calculation parallelized.
We successfully parallelized the algorithm, resulting in a dramatic improvement in performance.
With parallelized processing, it became possible to get answers in real time.
With the application parallelized, users experienced faster response times and improved overall responsiveness.