
Database System Concepts
7th Edition
ISBN: 9780078022159
Author: Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher: McGraw-Hill Education
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Write java code to create a thread by (extending), the
number of thread that is running.
Rewrite the above program by implementing the Runnable
Interface
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- Modify the above thread program so that you implement the interface Runnable. Make themain thread waiting till all other threads finish execution.arrow_forwardCan you help me with this code because i don't know what to do with this code, this code has to be in C. question that I need help with:You need to use the pthread for matrix multiplication. Each threadfrom the threadpool should be responsible for computing only a partof the multiplication (partial product as shown in the above picture –all Ti(S) are called a partical product). Your main thread should splitthe matrices accordingly and create the partial data arrays that areneeded to compute each Ti. You must create a unique task with thedata and submit it to the job queue. You can compute the partialproducts concurrently as long as you have threads available in thethreadpool. You have to remove the task the from queue and submitto a thread in the threadpool. You should define the number ofthreads to be 5 and keep it dynamic so that we can test the samecode with a higher or lower number of threads as needed. When allthe partial products are computed all the threads in the…arrow_forwardPlease answer the follwoing regarding the java code: When looking at the code below, assume that the MyThread and MyRunnable classes are correctly implemented in other files. How many threads are there in the program shown below? (Be careful to consider ALL the threads!)arrow_forward
- Please can you help me with the code that I have contributed, as I played a role in its development. Please ensure that only my code is utilized. This code should be written in C, and I have provided a portion of it below. Question that I need help with: You need to use the pthread for matrix multiplication. Each thread from the threadpool should be responsible for computing only a partof the multiplication (partial product as shown in the above picture –all Ti(S) are called a partical product). Your main thread should splitthe matrices accordingly and create the partial data arrays that areneeded to compute each Ti. You must create a unique task with thedata and submit it to the job queue. You can compute the partialproducts concurrently as long as you have threads available in thethreadpool. You have to remove the task the from queue and submitto a thread in the threadpool. You should define the number ofthreads to be 5 and keep it dynamic so that we can test the samecode with a…arrow_forwardFill in the blanks:5. The ( 6 ) is used to implement mutual exclusion where it can be decremented by aprocess and incremented by another, but the value must either be 0 or 1.6. If deadlock prevention approach is used to deal with deadlocks in a system, the ( 7 )condition can be prevented using the direct method.7. Two threads may share the memory space, but they cannot share the same ( 8 )8. Consider round-robin (RR) scheduling algorithm is implemented with 2 seconds timeslice and it is now selecting a new process; if we have 3 blocked processes (A, B, and C),and A has been waiting the longest, then A would need to wait a period of ( 9 ) secondsto be selected.9. In real-time systems, if a task appears at random times, then it is considered ( 10 ).arrow_forwardModify this threading example to use, exclusively, multiprocessing, instead of threading. import threadingimport time class BankAccount(): def __init__(self, name, balance): self.name = name self.balance = balance def __str__(self): return self.name # These accounts are our shared resourcesaccount1 = BankAccount("account1", 100)account2 = BankAccount("account2", 0) class BankTransferThread(threading.Thread): def __init__(self, sender, receiver, amount): threading.Thread.__init__(self) self.sender = sender self.receiver = receiver self.amount = amount def run(self): sender_initial_balance = self.sender.balance sender_initial_balance -= self.amount # Inserting delay to allow switch between threads time.sleep(0.001) self.sender.balance = sender_initial_balance receiver_initial_balance = self.receiver.balance receiver_initial_balance += self.amount # Inserting delay to allow switch between threads time.sleep(0.001)…arrow_forward
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