Search Results: MultiCore

Ryan Fleury argues that traditional approaches to parallelism, like job systems and parallel loops, add unnecessary complexity and obscure debugging. By flipping the script—writing code multi-core by default, inspired by GPU shaders—developers can unlock simpler, more efficient performance scaling. This paradigm shift leverages concepts like lane indexing and synchronization to make parallelism intuitive and universally applicable.

KC Sivaramakrishnan's extensive talks reveal OCaml's transformative journey from single-core to parallel powerhouse, featuring effect handlers, verified distributed systems, and hardware-assisted security. This technical deep dive explores how these innovations reshape functional programming for multicore and distributed computing demands.