The Vector lanes A Vector<E> is like a fixed-sized Java array made of lanes. The lane count is returned by the length() method and is called VLENGTH. The lane count
Category: Certification Exams of Java
Covering Vector API structure and terminology – Arrays, collections and data structuresCovering Vector API structure and terminology – Arrays, collections and data structures
102. Covering Vector API structure and terminology The Vector API is mapped by the jdk.incubator.vector module (and a package with the same name). A jdk.incubator.vector.Vector starts from a generic abstract
Summing two arrays via Vector API 2 – Arrays, collections and data structuresSumming two arrays via Vector API 2 – Arrays, collections and data structures
The loop step is the vector’s length. The following diagram pre-visualizes the code: Figure 5.8 – Computing z = x + y in chunks So, at the first iteration, our
Summing two arrays via Vector API – Arrays, collections and data structuresSumming two arrays via Vector API – Arrays, collections and data structures
103. Summing two arrays via Vector API Summing two arrays is the perfect start for applying what we’ve learned in the preceding two problems. Let’s assume that we have the
Summing two arrays unrolled via Vector API – Arrays, collections and data structuresSumming two arrays unrolled via Vector API – Arrays, collections and data structures
104. Summing two arrays unrolled via Vector API In this problem, we take the example of summing two arrays from the previous problem and re-write the loop in an unrolled
Benchmarking Vector API – Arrays, collections and data structuresBenchmarking Vector API – Arrays, collections and data structures
105. Benchmarking Vector API Benchmarking Vector API can be accomplished via JMH. Let’s consider three Java arrays (x, y, z) each of 50,000,000 integers, and the following computation: z[i] =
Multiplying matrices via Vector API – Arrays, collections and data structuresMultiplying matrices via Vector API – Arrays, collections and data structures
107. Multiplying matrices via Vector API Let’s consider two matrices of 4×4 denoted as X and Y. The Z=X*Y is: Figure 5.10 – Multiplying two matrices (X * Y =
Dissecting factory methods for collections – Arrays, collections and data structuresDissecting factory methods for collections – Arrays, collections and data structures
109. Dissecting factory methods for collections Factory methods for collections are a must-have skill. Is very convenient to be able to quickly and effortlessly create and populate unmodifiable/immutable collections before
Getting a list from a stream – Arrays, collections and data structuresGetting a list from a stream – Arrays, collections and data structures
110. Getting a list from a stream Collecting a Stream into a List is a popular task that occurs all over the place in applications that manipulates streams and collections.In
Introducing the Rope data structure 2 – Arrays, collections and data structuresIntroducing the Rope data structure 2 – Arrays, collections and data structures
Implementing concat(Node node1, Node node2) Concatenating two Ropes (node1 and node2) is a straightforward step-by-step algorithm: Create a new root node having the weight of the leaf nodes in node1