The primary purpose of PLINQ is to speed up query execution by splitting the task and executing it in parallel. However, there are a lot of factors that can impact the performance of PLINQ. These include synchronization overheads to do with chunking and partitioning, as well as scheduling and collecting results from threads. PLINQ performs best in delightfully parallel scenarios, where threads don't have to share a state and don't have to worry about the order of execution. Being delightfully parallel is ideal but not always achievable due to the nature of work. Let's try to understand the factors that can impact the performance of PLINQ.
United States
Great Britain
India
Germany
France
Canada
Russia
Spain
Brazil
Australia
Singapore
Hungary
Ukraine
Luxembourg
Estonia
Lithuania
South Korea
Turkey
Switzerland
Colombia
Taiwan
Chile
Norway
Ecuador
Indonesia
New Zealand
Cyprus
Denmark
Finland
Poland
Malta
Czechia
Austria
Sweden
Italy
Egypt
Belgium
Portugal
Slovenia
Ireland
Romania
Greece
Argentina
Netherlands
Bulgaria
Latvia
South Africa
Malaysia
Japan
Slovakia
Philippines
Mexico
Thailand