Threads can run in parallel on a multiprocessor machine.
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21%
Responsiveness
17%
Resource sharing
52%
Scalability
10%
Economy
a ....... system has well defined, fixed time constraints
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10%
distributed
10%
single-processor
7%
multiprocessor
73%
real-time
Task Parallelism refers to the distribution of data across multiple cores
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41%
T
59%
F
in One-to-One Model Only one user thread can access the kernel at a time.
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40%
T
60%
F
in One-to-One Model Multiple threads can access the kernel at a given time
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83%
T
17%
F
OS creates a kernel thread per user thread (can burden performance)
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81%
One-to-One Model
19%
Many-to-Many Mode
OS creates a set of kernel threads (less than or equal to user threads)
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10%
One-to-One Mode
90%
Many-to-Many Model
When a thread makes a blocking system call, another thread can run.
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11%
Many-to-Many Model
11%
One-to-One Model
8%
Many-to-One Model
71%
A&B
Most operating systems use
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65%
One-to-One Model
19%
Many-to-Many Model
16%
Many-to-One Model
Forwarded from Step by Step (C) (Abdelrahman Zaki)
Text / Data section
مساحتهم ثابتة
مساحتهم ثابتة
Forwarded from Step by Step (C) (Abdelrahman Zaki)
Heap/stack section -> مساحتهم متغيرة
The server creates a thread for each request
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76%
Explicit Threading
24%
Implicit Threading
in Implicit Threading Programmers identify threads that can run in parallel.
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45%
F
55%
T
can adjust the number of threads in the pool.
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16%
sequential thread pool
84%
dynamic thread pool