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Questions and Answers
What is the main purpose of using threads in a program?
Which interface must be implemented to define a thread in Java?
What is created when executing a thread using the Runnable interface?
What method is called to initiate a thread's execution?
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What does each thread have that allows it to manage its own execution?
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How does a thread access the process' global data?
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What is the role of the run() method in a thread?
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Which of the following statements is true regarding a single-threaded process?
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What happens after the philosophers finish eating?
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In the Philosopher class, what is the purpose of the LogEvent method?
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What is the role of the synchronized blocks in the run method of the Philosopher class?
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How many philosophers are created in the for loop for threading?
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What is the expected behavior when a philosopher cannot pick up both chopsticks?
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What is the primary focus when discussing multiple threads?
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How does the Java virtual machine (JVM) determine thread execution?
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What is a term used to describe the ability of the JVM to interrupt a running thread?
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In the provided example, which thread completed first during execution?
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What can be inferred about the execution of threads in the given example?
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What happens when the JVM allocates an execution time slot to a thread?
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Which of the following best describes the term 'nondeterministic' in relation to threads?
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What scenario does the thread execution example illustrate?
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What implies that multiple threads can be in various states during their lifecycle?
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How many threads were created in the provided example?
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What is a fundamental challenge in concurrent programming?
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What does nondeterministic execution of threads imply?
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What is one of the consequences of threads sharing global data?
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What happens when multiple threads are executed on a single processor?
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Which of the following is a problem that needs to be avoided in all concurrent programs?
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Why might independent threads not be the typical scenario in multithreaded systems?
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What aspect of thread scheduling is determined by the scheduler?
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What must programmers ensure regarding their code in a multithreaded environment?
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Which statement best describes race conditions?
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What do threads typically need to do when processing requests in a web client scenario?
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What is the main reason the request counter does not reach the expected value of 50,000?
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What does the count variable in the RequestCounter class represent?
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Why is using a 5-second delay in the main method considered a bad idea?
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How is the counter value incremented in the RequestCounter class?
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What can occur when one thread loads the counter value while another increments it?
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What does atomic operation imply in the context of increments?
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What happens to the counter variable if Java manages multiple threads incorrectly?
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What is the purpose of the RequestCounter class's main method?
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What modification could improve the accuracy of the RequestCounter?
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What does creating 50,000 threads primarily test in this context?
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IBM launched the first multicore processor in 2001, featuring a chip with three CPUs.
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Modern programming languages tend to have diverse concurrency models for managing threads.
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Each software process typically has multiple threads of execution by default.
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Java's main() function defines the starting point of a single thread in a program.
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Concurrency models are a recent development in computer science, having been studied for less than 20 years.
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Threads run independently and asynchronously, which means their execution order is controlled by the programmer.
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Race conditions occur due to the independent execution of threads without shared resources.
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Multiple threads can share global data within a process, which can aid in coordinating their work.
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Deadlocks and race conditions are two fundamental problems that need to be avoided in concurrent programming.
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If all threads are completely independent, they do not require any coordination or shared data to function correctly.
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Match the following concepts with their explanations:
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Match the following performance issues with their descriptions:
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Match the following programming challenges with their definitions:
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Match the following terms with their corresponding actions:
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Match the following Java thread concepts with their descriptions:
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Match the following terms related to threads with their meanings:
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Match the following actions with their outcomes in thread execution:
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Match the following thread states with their characteristics:
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Match the following potential issues with threads in multithreading scenarios:
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What happens when a producer attempts to add an item to a full buffer?
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What is one drawback of using polling in the producer-consumer problem?
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What Java methods are used to implement signaling between threads in the producer-consumer problem?
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How do consumers in the producer-consumer problem know when new items are available?
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What is the purpose of using a synchronized block when calling wait()?
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What happens when a consumer retrieves an item from a buffer?
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What is a key difference between blocking operations and busy waiting?
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In a real-time application, why is minimizing resource usage important?
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What scenario describes a situation where consumers have to wait for items to become available?
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Study Notes
Thread Basics
- A single thread has access to a program's environment and resources, such as open file handles and network connections.
- Threads are independent sequences of execution in a process with their own runtime stacks for managing method calls and local variables.
- Each thread has access to the process's global data and environment.
- In Java, threads can be defined by creating a class that implements the Runnable interface and defines a run() method.
Creating and Executing Threads
- To execute a thread in Java, create a Thread object using an instance of the Runnable interface and call the start() method to invoke the execution context.
Nondeterminism in Thread Execution
- The JVM scheduler controls the order of thread execution.
- The order of thread execution is nondeterministic, meaning programmers cannot control the order in which threads are executed.
- The JVM scheduler can preempt threads, interrupting their execution to give other threads a chance to run.
- Preemption is a crucial component of thread scheduling, ensuring that all threads have a chance to make progress.
Race Conditions
- Race conditions occur when multiple threads access shared data, leading to potential inconsistencies and incorrect results.
- Threads access shared data structures to coordinate their work and communicate status.
- In Java, this shared data includes both global and static data.
- Race conditions arise because the execution of multiple threads can be interleaved, making it difficult to predict the order in which statements are executed.
- To illustrate race conditions, the text presents an example of 50,000 threads updating a shared counter. The program often fails to produce the correct result due to non-atomic increments, where the three operations involved in incrementing a counter can be interrupted by other threads.
Deadlocks
- Deadlocks occur when threads are unable to proceed because they are waiting for resources held by other threads that are also blocked.
- The text uses the classic Dining Philosophers problem as an analogy to exemplify deadlocks.
- The Dining Philosophers problem involves five philosophers who need to pick up two chopsticks to eat. They are seated around a circular table with a single chopstick placed between each philosopher.
- The deadlock occurs when all philosophers pick up their left chopsticks simultaneously, preventing any further action because they are now waiting for the right chopstick, which is held by a neighboring philosopher.
- Deadlocks can be resolved using strategies such as resource ordering, timeouts, and deadlock detection.
Multi-core Processors
- IBM introduced the first multi-core processor in 2001, featuring two CPUs
- Multi-core chips allow software with parallel activities to execute concurrently on each core, enhancing processing capacity
- Modern laptops can have up to 16 CPUs (cores)
Threads
- Threads are the primary mechanism for structuring software systems as concurrent activities
- Every programming language has its own threading mechanism, but the underlying semantics are broadly similar
- Threads are asynchronous and run independently until they are complete, and the scheduler decides which thread runs next
Concurrency Models
- Various concurrency models exist to structure and coordinate concurrent activities, including:
- Thread-based concurrency: uses independently executing threads with locks to access shared resources
- Actor Model: uses "actors" that communicate by sending asynchronous messages
- CSP (Communicating Sequential Processes): uses channels for synchronous message passing
Problems with Threads
-
Race Conditions: Occur when multiple threads modify shared data structures simultaneously, leading to unpredictable results.
- Interleaving: Execution of threads is interleaved by the CPU, meaning their statements are not necessarily executed in a predictable order, increasing the risk of race conditions.
- Critical Sections: Critical sections are parts of code that update shared data structures and must be executed atomically to prevent race conditions. The synchronized keyword in Java defines a critical section to ensure only one thread can access it at a time.
- Deadlocks: Occur when multiple threads are blocked indefinitely because they require resources that are hold by each other, leading to a standstill.
Example of Race Conditions
- The text illustrates this using a RequestCounter example where multiple threads update a shared counter.
- The increment operation isn't atomic at the machine level, leading to lost updates and incorrect results due to thread interleaving.
- Even infrequent occurrences of race conditions can lead to undesirable outcomes.
Dining Philosophers Problem
- The "Dining Philosophers Problem" illustrates deadlocks:
- Five philosophers are sitting around a table, each needing two chopsticks to eat
- Each chopstick is held by two philosophers, creating the potential that each philosopher will grab one chopstick and wait indefinitely for the neighboring philosopher to release the second chopstick needed.
- This problem demonstrates how threads can become deadlocked when accessing shared resources.
Concurrency in Web Applications
- Concurrency in web applications is like managing the flow of customers in a busy coffee shop, where a single barista might struggle to handle complex orders, causing delays and frustration.
- Implementing concurrency in software allows the processing of multiple requests simultaneously, mimicking the benefits of having multiple baristas in the coffee shop, leading to increased efficiency and quicker service.
- Modern CPUs can execute millions of instructions per second. However, when a program needs to access a hardware device - like a disk drive or network card - it must wait for the data, causing a significant slowdown as the CPU remains idle.
- Operating systems exploit this idle time by scheduling other programs to execute while one program waits for input/output (I/O), greatly enhancing efficiency and CPU utilization.
Thread Management and Execution
- Concurrency in Java is achieved using threads, which are independent units of execution within a program.
- Each thread has its own call stack to manage its own local data and method calls, but also shares access to the process's global data and environment.
- To create a new thread in Java, a class that implements the
Runnable
interface and defines therun()
method is used. - The
start()
method is used to initiate the thread, creating a new execution context for it to run independently. Invokingrun()
directly will execute the code within the thread's method, but will not create a new thread, effectively keeping the program single-threaded. - The
join()
method allows one thread to wait for another thread to complete its execution before proceeding.
Deadlock: A Concurrency Problem
- Deadlock occurs when multiple threads are blocked indefinitely, waiting for resources held by other threads, creating a circular dependency.
- Deadlock is a common problem in concurrent programs, and a simple example is the classic "Dining Philosophers Problem" where five philosophers at a round table, each needing two chopsticks to eat, can end up in a situation where all are blocked and no progress is possible.
Addressing Deadlock
- Deadlock can sometimes be mitigated using timeouts on blocking operations. If a thread waits too long for a resource, it may release the resource it holds and try again later, potentially breaking the deadlock.
- However, timeouts are not always effective and can lead to performance issues, making designing deadlock-free solutions a preferable approach.
- A deadlock-free solution involves designing resource allocation protocols to eliminate circular dependencies, ensuring that one or more threads can always make progress.
- In the Dining Philosophers problem, a deadlock-free solution involves forcing a specific philosopher always to pick up their right chopstick first, breaking the circular dependency and ensuring that at least one philosopher can always get both chopsticks.
Producer-Consumer Problem
- Illustrates a common scenario where producers generate data and consumers consume it.
- A shared buffer acts as a intermediary between the producers and the consumers.
- Producers add items to the buffer, consumers retrieve items from it.
- Buffer capacity is limited, leading to potential waiting for producers or consumers.
- Producers must wait if the buffer is full, and consumers must wait if it is empty.
Polling vs. Blocking
- Polling involves repeatedly checking if a resource is available.
- Blocking suspends a thread until a resource is available.
Blocking Operations
- Blocking is more efficient than polling because it avoids unnecessary resource consumption.
- Threads in a blocking state consume no resources until the condition is met.
Java Primitives for Signaling
- wait(): Called by a thread when a required condition is not true.
- notify(): Called when the condition becomes true, signaling the wait()ing thread.
- Used to implement guarded blocks, which ensure a condition holds before a thread resumes execution.
- Example: Using a condition "empty" to block a consumer thread if the buffer is empty.
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Description
Test your knowledge on the basics of threads in Java, including how to create and execute them. Understand thread management, nondeterminism, and the role of the JVM scheduler in handling multiple threads. Challenge yourself with questions on implementation and functionality.