The machinery is large-scale ML and discrete optimization over large/complex data structures, designed for a specific vertical industry. These algorithms run for hours and lazy eval was an engineering disaster. Our team…
The heavy numerical work is in julia, python, R, and a little custom c++ where necessary. Team productivity has gone way up.
Bang and StrictData are fine locally but things get enormously worse when that data flows into deeply-layered libraries that I don't own. Then, I need to understand and modify the evaluation behavior of a deeply-layered…
Lazy eval opens the floodgates for complex space leaks. Suppose you have a complicated algorithm that runs until it reaches mathematical convergence. In a lazy language like Haskell, those cycles of iteration/recursion…
Lazy evaluation also implies that Haskell programs can crash based on their input. That doesn't imply big input, simply that the input caused a space leak the author hadn't considered. Try selling that to your boss who…
The machinery is large-scale ML and discrete optimization over large/complex data structures, designed for a specific vertical industry. These algorithms run for hours and lazy eval was an engineering disaster. Our team…
The heavy numerical work is in julia, python, R, and a little custom c++ where necessary. Team productivity has gone way up.
Bang and StrictData are fine locally but things get enormously worse when that data flows into deeply-layered libraries that I don't own. Then, I need to understand and modify the evaluation behavior of a deeply-layered…
Lazy eval opens the floodgates for complex space leaks. Suppose you have a complicated algorithm that runs until it reaches mathematical convergence. In a lazy language like Haskell, those cycles of iteration/recursion…
Lazy evaluation also implies that Haskell programs can crash based on their input. That doesn't imply big input, simply that the input caused a space leak the author hadn't considered. Try selling that to your boss who…