Finite-difference models have been used for nearly 40 years to solve electromagnetic problems of heterogeneous nature. Further, these techniques are well known for being computationally expensive, as well as subject to various numerical artifacts. However, little is yet understo…
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The push towards fielding advanced driver-assist systems (ADASs) is happening at breakneck speed. Semi-autonomous features are becoming increasingly common, including adaptive cruise control and automatic lane keeping. Today, graphics processing units (GPUs) are seen as a key te…
GPU Pro 360 Guide to 3D Engine Design
0
Type: Book
Wolfgang Engel's GPU Pro 360 Guide to 3D Engine Design gathers all the cutting-edge information from his previous seven GPU Pro volumes into a convenient single source anthology that covers the design of a 3D engine. This volume is complete with articles by leading programmers t…
Professional CUDA C programming
by Cheng, John, Grossman, Max, McKercher, Ty
fromWrox programmer to programmer
0
Type: Book
"Beyond simulation and algorithm development, many developers increasingly use MATLAB even for product deployment in computationally heavy fields. This often demands that MATLAB codes run faster by leveraging the distributed parallelism of Graphics Processing Units (GPUs). While…
"Beyond simulation and algorithm development, many developers increasingly use MATLAB even for product deployment in computationally heavy fields. This often demands that MATLAB codes run faster by leveraging the distributed parallelism of Graphics Processing Units (GPUs). While…
Shows how to accelerate MATLAB codes through the GPU for parallel processing, with minimal hardware knowledge, explains the related background on hardware, architecture and programming for ease of use, and provides simple worked examples of MATLAB and CUDA C codes as well as tem…
"Beyond simulation and algorithm development, many developers increasingly use MATLAB even for product deployment in computationally heavy fields. This often demands that MATLAB codes run faster by leveraging the distributed parallelism of Graphics Processing Units (GPUs). While…
"Since the introduction of CUDA in 2007, more than 100 million computers with CUDA capable GPUs have been shipped to end users. GPU computing application developers can now expect their application to have a mass market. With the introduction of OpenCL in 2010, researchers can n…
GPU Zen 2: advanced rendering techniques
0
Type: Book
This book introduces the powerful Finite-Difference Time-Domain method to students and interested researchers and readers. An effective introduction is accomplished using a step-by-step process that builds competence and confidence in developing complete working codes for the de…
General-purpose graphics processing units (GPGPU) have emerged as an important class of shared memory parallel processing architectures, with widespread deployment in every computer class from high-end supercomputers to embedded mobile platforms. Relative to more traditional mul…