NWEN303 Concurrent Programming 10 -Model solutions Ass1 -Starvation and Semaphores -More streams features Marco Servetto VUW Model solutions for Ass1 public class MSequentialSorter implements Sorter {//actual merge sort @Override public
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Mock Term Test NWEN303 2021 Total 100 points Duration: 2 hours (the lecture slot is 1 hour, so you can finish it at home) Answer in the white space after each sub question. Each sub question gives you a full page to answer, but you are not expected to fill up all the space. Many
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NWEN303 Concurrent Programming 9 Race condition, Deadlock, Livelock Marco Servetto VUW ● ● ● ● ● ● ● Unexpected Race condition Deadlock Livelock Starvation (next time) Informally, those are kinds of bugs or unexpected behaviors unique of parallel programs. However, there are also more precise definitions. For each of those, we will now show the
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NWEN303 Concurrent Programming 18: Ass3 Model answers and Clustering Marco Servetto VUW Ass3 model answers Q1.1 Is ‘new Point(0,0)’ an expression referring to a deeply immutable object? Yes, all Point fields are final Q1.2 Is ‘new Person(“bob”,new Point(0,0))’ an expression referring to a deeply immutable object? No, Person fields can be mutated; however new Person(“bob”,new
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NWEN303 Concurrent Programming 15: Actors, advantages and pitfalls Marco Servetto VUW ● ● ● ● Actors exchange messages Two components: Actor and ActorRef The actor object is very ‘private’, only the actor itself should be able to ever see it. An actor processes one message at a time, sequentially: this reduce the need of synchronization.
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NWEN303 Concurrent Programming Raw Threads, Work balancing and ForkJoin library Marco Servetto VUW ● ● ● Single thread programs No programs have zero threads. Single threaded Programs have one flow of control. Operations are executed one after the other, from left to right, top down. Single thread programs class Main{ public static int print(int num){
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NWEN303 Concurrent Programming 4 Parallelism using libraries (Java) Marco Servetto VUW ● ● Writing parallel programs is bad Sometimes, it is what we have to do anyway. In this lecture and the next one (and sort of the rest of the course) we will focus on how to survive and suffer as little as possible.
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NWEN303 Concurrent Programming 10 -Model solutions Ass1 -Starvation and Semaphores -More streams features Marco Servetto VUW Model solutions for Ass1 public class MSequentialSorter implements Sorter {//actual merge sort @Override public
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Lab 05 Preprocessing Text preprocessing is an important step for natural language processing (NLP) tasks. It transforms text into a more digestible form so that machine learning algorithms can perform better. It is important to understand what each preprocessing method does in order to help decide if it is appropriate for your particular task. Text
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COMP5046 Natural Language Processing Lecture 7: Dependency Parsing Dr. Caren Han Semester 1, 2021 School of Computer Science, University of Sydney 0 The course topics What will you learn in this course? Week 1: Introduction to Natural Language Processing (NLP) Week 2: Word Embeddings (Word Vector for Meaning) Week 3: Word Classification with Machine Learning
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