Advanced modeling and analysis are always essential for the development of safe and
reliable nuclear systems. Traditionally, the numerical analysis codes used for nuclear …

We introduce a parallel kd-tree construction method for 3-dimensional points on a GPU
which employs a sorting algorithm that maintains high parallelism throughout construction …

Molecular simulations are used in many areas of biotechnology, such as drug design and
enzyme engineering. Despite the development of automatic computational protocols …

Various parallel algorithms can be decomposed into programming primitives that share
similar patterns. This course focuses on studying these programming primitives and their …

Mobile devices have experienced an incredible market penetration in the last decade.
Currently, medium to premium smartphones are relatively affordable devices. With the …

In this paper, we develop a feature-aware 4D spatiotemporal image registration method. Our
model is based on a 4D (3D+ time) free-form B-spline deformation model which has both …

In today's world, sorting is a basic need and appropriate method starts with searching.
Several sorting algorithms has been developed on CPU (Central Processing Unit). But …

The CPU has become a bottleneck for bigdata solutions that have to deal with increasingly
large and varied data. Two approaches for dealing with this bottleneck have generated …

Abstract Field Programmable Gate Arrays (FPGAs) have been widely used for accelerating
machine learning algorithms. However, the high design cost and time for implementing …

This chapter discusses Rendering Vector Displacement-Mapped Surfaces in a Graphics
processing units (GPU) Ray Tracer. It describes a single-threaded implementation of the …