CUDA.jl 3.0 is a significant, semi-breaking release that features greatly improved multi-tasking and multi-threading, support for CUDA 11.2 and its new memory allocator, compiler tooling for GPU method overrides, device-side random number generation and a... (more…)
Read more »
Distributed table structures and data manipulation operations built on top of Dagger.jl - GitHub - JuliaParallel/DTables.jl: Distributed table structures and data manipulation operations built on t... (more…)
Read more »
An algorithm for intelligently resizing images and an introduction to dynamic programming.Course website: https://mitmath.github.io/18S191/Fall20/Here are th... (more…)
Read more »
These days, I find myself evangelizing for Julia quite a bit. It’s a good language, especially for scientific computing, but I believe its focus on performance also makes it a good general language as well. At some level, programmers who know multiple lan... (more…)
Read more »
There’s a big difference between knowing how to follow a recipe and knowing how to cook. If you can master the first principles within a domain, you can see much further than those who are just following recipes. That’s what Julia Child, “The French Chef”... (more…)
Read more »
