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Algorithms are often parallelized based on data dependence analysis manually or by means of parallel compilers. Some vector/matrix computations such as the matrix-vector products with simple data ...
Support for nested data-parallel constructs. This is the ability to apply a function in parallel to each element of a collection of data, and the ability to nest such parallel calls. In this article ...
This tutorial series is a beginner’s guide to data structures and algorithms in Java. You’ll learn: How to recognize and use array and list data structures in your Java programs.
Abstract: With the emergence of the big data age, the issue of how to obtain valuable knowledge from a dataset efficiently and accurately has attracted increasingly attention from both academia and ...
Overview. 15-210 aims to teach methods for designing, analyzing, and programming sequential and parallel algorithms and data structures. The emphasis is on teaching fundamental concepts applicable ...
Specialization: Data Science Foundations: Data Structures and Algorithms Instructor: Sriram Sankaranarayanan, Assistant Professor Prior knowledge needed: Mathematical Background: We expect that the ...
The second algorithm is about 70% faster than the first. So far, both algorithms are implemented for int[] only, but other data types can be easily added. Both algorithms are implemented in scalar, ...
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