|
You are here |
blog.haschek.at | ||
| | | | |
blog.nelhage.com
|
|
| | | | | I've been spending some time learning deep learning and tensorflow recently, and as part of that project I wanted to be able to train models using GPUs on EC2. This post contains some notes on what it took to get that working. As many people have commented, the environment setup is often the hardest part of getting a deep learning setup going, so hopefully this will be useful reference to someone. | |
| | | | |
sthbrx.github.io
|
|
| | | | | [AI summary] A technical guide on installing and configuring the NAMD molecular dynamics program with GPU acceleration and NVLink on IBM OpenPOWER servers. | |
| | | | |
www.hallada.net
|
|
| | | | | I found the tensorflow documentation rather lacking for installation instructions, especially in regards to getting GPU support. I'm going to write down my notes from wrangling with the installation here for future reference and hopefully this helps someone else too. | |
| | | | |
blog.krzyzanowskim.com
|
|
| | | what? In short: dynamic linking happened. Dynamic linking - what it is? It's an operation that happens when part of the code spreads across different files (called libraries), and the binary content of the library is loaded in runtime. A dynamic linker (which is a system tool) finds a symbol | ||