Parallelism in Java:
After researching Java implementation, I have found that Java provides several ways to support parallelism, both implicitly and explicitly:
Implicit Parallelism:
Java 8 introduced the Stream API, which allows for easy parallelization of certain operations, such as filtering, mapping, and reducing, using the parallelStream() method.
The Java Concurrency Utilities, including the ExecutorService and ForkJoinPool, provide a higher-level abstraction for creating and managing threads, which make it easier to write concurrent and parallel code.
Explicit Parallelism:
The java.lang.Thread class allows developers to create and manage individual threads explicitly.
The java.util.concurrent package provides a rich set of synchronization primitives, such as Semaphore, CountDownLatch, and CyclicBarrier, to help coordinate parallel execution.
The Java Memory Model and the volatile keyword help developers reason about and manage shared memory access in concurrent programs.
Java also supports the use of the @Synchronized annotation to declaratively manage thread safety in method-level or class-level synchronization. These methods are apparent in my implementation of Task 2 for Java (see below).