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GPU Computing Gems Emerald Edition (Applications of GPU Computing Series)
We are entering the golden age of GPU computing. Since the introduction of CUDA in 2007, more
than 100 million computers with CUDA-capable GPUs have been shipped to end users. Unlike the
previous GPGPU shader programming models, CUDA supports parallel programming in C. From my
own experience in teaching CUDA programming, C programmers... | | Security in Computing Systems: Challenges, Approaches and Solutions
This monograph on Security in Computing Systems: Challenges, Approaches and
Solutions aims at introducing, surveying and assessing the fundamentals of secu
rity with respect to computing. Here, “computing” refers to all activities which
individuals or groups directly or indirectly perform by means of computing sys
tems,... | | OpenCL in Action: How to Accelerate Graphics and Computations
In the summer of 1997, I was terrified. Instead of working as an intern in my major (microelectronic engineering), the best job I could find was at a research laboratory devoted to high-speed signal processing. My job was to program the two-dimensional fast Fourier transform (FFT) using C and the Message Passing Interface ... |
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