Juliacon 2024

Julia 1.11 rewrites Array from being an opaque type implemented mostly in C to being just another type in Julia. In order to do this, we introduced a new, more primitive type for homogenous data storage, called Memory. Then we could re-use that work to add an AtomicMemory type that allow for better expressing multi-threaded memory operations. And along the way, also added the full set of atomic operators to globals, known as Binding types. In this talk, we we will look at the new Memory type, t

Julia's SciML ecosystem is burgeoning in applying machine learning to scientific computing. Moreover, a key emphasis is the performance paradigm, accelerating scientific discovery. This is possible because at the core of the SciML are the numerical methods that automatically support hardware accelerators like GPUs, making the simulations tractable. This talk will provide a state of GPU acceleration in the SciML ecosystem and its applications, ranging from ODE solvers to Optimization methods.