It takes the average reader 4 hours and 5 minutes to read Task Scheduling for Multi-core and Parallel Architectures by Quan Chen
Assuming a reading speed of 250 words per minute. Learn more
This book presents task-scheduling techniques for emerging complex parallel architectures including heterogeneous multi-core architectures, warehouse-scale datacenters, and distributed big data processing systems. The demand for high computational capacity has led to the growing popularity of multicore processors, which have become the mainstream in both the research and real-world settings. Yet to date, there is no book exploring the current task-scheduling techniques for the emerging complex parallel architectures. Addressing this gap, the book discusses state-of-the-art task-scheduling techniques that are optimized for different architectures, and which can be directly applied in real parallel systems. Further, the book provides an overview of the latest advances in task-scheduling policies in parallel architectures, and will help readers understand and overcome current and emerging issues in this field.
Task Scheduling for Multi-core and Parallel Architectures by Quan Chen is 243 pages long, and a total of 61,479 words.
This makes it 82% the length of the average book. It also has 75% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 5 hours and 35 minutes to read Task Scheduling for Multi-core and Parallel Architectures aloud.
Task Scheduling for Multi-core and Parallel Architectures is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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