Parallel processing in FDTD as well as other electromagnetic simulation methods is growing in importance. It allows not only to calculate faster but also to cope with large structures. Parallel processing can be implemented in different ways. The implementation depends mainly on computer architecture ...
parallelization impacts the design of computer systems in a number of ways. in order to take advantage of parallel processing, computer systems must be designed with multiple processors or cores that can work together to process data. additionally, parallelization often requires specialized software and...
Database management systems known as in-memory database management systems (IMDBMS) store and manage data primarily in a computer’s main memory (RAM) instead of conventional disc storage. This method greatly accelerates data retrieval and processing using memory’s quicker access times. Due to th...
In contrast, the shared-nothing architecture focuses on horizontal scaling by adding more nodes to the cluster for independent parallel processing. However, in this scenario, the communication between the nodes in the cluster adds a bit of latency. Both architectures have trade-offs and it depends ...
different types of multipliers. The proposed FIR filter is made up of a combination of multipliers and adders. The Dadda multiplier has three multiplication steps for partial product reduction and has specific methods to minimize the parameters. To minimize the delay and lower the area, the Dadda...
We use essential cookies to make sure the site can function. We also use optional cookies for advertising, personalisation of content, usage analysis, and social media. By accepting optional cookies, you consent to the processing of your personal data - including transfers to third parties. Some...
Parallel queries may use more CPU time than the overall duration. The goal of parallelism is to allow multiple threads to run parts of a query simultaneously. In one second of clock time, a query may use eight seconds of CPU time by executing eight parallel threads. Therefore, i...
This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search
very specific data types), we aim to ensure that a very broad range of data can be handled efficiently. Finally we aim to provide robust techniques with sound mathematical foundations over potentially more powerful but black-box approaches for greater transparency in data processing and ...
(50+ samples). On systems running Mac OS X or Linux/Unix the software can benefit from parallel processing on several CPUs via the multicore [40] or BiocParallel [41] packages. The examples shown above were run successfully on an Intel Core 2 Duo 2.0 GHz with 2 GB of RAM running ...