Few months later and learning convex optimisation, I have started loving Julia (also functional programming, been learning a bit of haskell as well, and the ability to generate optimal code in one line). Also realized that there’s this powerful thing called LLVM!
Anyone with similar dilemma as...
Learning such adaptive/real-time systems are part of a long-term goal but not of immediate requirement for me. Right now, I am more concerned about writing codes (currently for signal processing tasks) that is both performant and energy efficient assuming the underlying hardware has parallelism...
Thanks. As far as I understand so far, turbulence model is like quantum physics - a lot of scattered theories to fit to experimental results, and efforts to unify them using patchworks one on top of another. Is that right?
post 18 in this thread ...
Not intending to diverge much, but I am also curious about general pre-built high performance frameworks like PETSc, for physics simulations (primarily optics and fluids, a little bit of quantum/EM). Currently familiar with Zemax, but looking to get into more foundational analysis.
Hi, I am Manuel Jenkin currently exploring areas of high performance computing and physics. Lots of interest in rigorous math (from signal processing to cryptography). Looking forward to learning more.
A lot of the work I am interested to do will be mostly built from scratch by myself, provided there is fair support for numerical types (like complex numbers) and high precision numerical operations (if not, I'll be happy to write those routines as well). Many of my areas of interest are...