In addition, some applications can exploit the parallel processing facility for distributed memory systems.
画像検査能力を上げるため、高画素カラーカメラとモノクロカメラとの並列処理仕様としています。
In order to improve the image inspection capability, a color camera and a monochrome one, both of which have a large number of pixels, are used for parallel processing.
That kind of inference-based machine learning application is well served by the parallel processing capabilities of FPGAs to accelerate neural network performance.
It offers enterprise-grade security, a state-of-the-art performance optimizer combined with in-memory parallel processing, data governance, and management capabilities, as well as deployment monitoring, a resource administration tool, and self-service data discovery.
If there is a need to maintain the sorting order for all the tables, do not configure the parallel processing settings for the partition tables(specify false or do not specify the"partitionTable" item).
Multiprocessing- Process-based parallelism- Python 3.8.0 documentation Introduction¶ multiprocessing is a package that supports spawning processes using an API similar to the threading module.
We discuss about parallel processing architecture taking topic of the basic issues and also the latest research cases, for example Data Flow Model, from the view point of the system specification/ verification methods and realization.
A core Tableau platform technology, Hyper uses proprietary dynamic code generation and cutting-edge parallelism techniques to achieve fast performance for extract creation and query execution.
Support for Arbitrary Precision Integer Data Types provides parallelism detection and analysis tools to support applications that utilize arbitrary precision integers(“ap_int” and“ap_uint”).
The SonicWall NSA Series delivers both high-speed stateful and deep packet inspection firewall performance, with multi-core parallel-processing architecture and multiple Gigabit Ethernet ports.
When multiple strands try to allocate or deallocate memory simultaneously, the resulting contention on the lock can effectively kill much of the parallelism in the program.
CUDA™ is NVIDIA's computing architecture that enables its GPUs to be programmed using industry standard programming languages and APIs, opening up their massive parallel processing power to a broad range of applications beyond graphics.
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