High-Performance GPU Computing in the Julia Programming Language | NVIDIA Technical Blog
High-Performance GPU Computing in the Julia Programming Language Julia is a high-level programming language for mathematical computing that is as easy to use as Python, but as fast as C. The language has been created with performance in mind, and combines careful language design with a sophisticated LLVM-based compiler [Bezanson et al. 2017]. Julia is already well regarded for programming multicor
Ubuntu 14.04 VirtualBox VM
This is a guide to setting up Caffe in a 14.04 virtual machine with CUDA 6.5 and the system Python for getting started with examples and PyCaffe. Download newest Ubuntu release. I used KUbuntu from http://cdimage.ubuntu.com/kubuntu/releases/trusty/release/kubuntu-14.04.1-desktop-amd64.iso Start VirtualBox, create a new virtual machine (Linux/Ubuntu/64bit/DynamicHD/8GbRAM/…). Then start the VM from
高校生のための NVIDIA CUDA サマーキャンプ 2012 8/30 thu. | NVIDIA
CUDA Zone CUDA® is a parallel computing platform and programming model developed by NVIDIA for general computing on graphical processing units (GPUs). With CUDA, developers are able to dramatically speed up computing applications by harnessing the power of GPUs. In GPU-accelerated applications, the sequential part of the workload runs on the CPU – which is optimized for single-threaded performance
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