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EEDSP
Digital Signal Processing, Data Analytics, Big Data, HPC, Deep Learning, GPGPU, Distributed and Parallel Computing, Natural Language Processing
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High-Performance GPU Computing in the Julia Programming Language | Parallel Forall

High-Performance GPU Computing in the Julia Programming Language | Parallel Forall | EEDSP | Scoop.it
A new extension for the Julia programming language for mathematical computing enhances the Julia compiler to generate native code for CUDA GPUs
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A Beginner’s Look at Julia

‘Julia‘, which aims to be a high-level language with performance approaching that of C. With that goal in mind, Julia could be a replacement for the ‘multi-language’ problem of needing to move between R, Python, MATLAB, C, Fortran, Scala, etc. within a single scientific programming project.  Here are some observations that might be helpful for others looking to get started with Julia.

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Mocha.jl: Deep Learning for Julia

Mocha.jl: Deep Learning for Julia | EEDSP | Scoop.it
Deep learning is becoming extremely popular due to several breakthroughs in various well-known tasks in artificial intelligence. For example, at the ImageNet Large Scale Visual Recognition Challeng...
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The Julia Language

The Julia Language | EEDSP | Scoop.it

Julia is a high-level, high-performance dynamic programming language for technical computing, with syntax that is familiar to users of other technical computing environments. 

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