Path forward for softwarization to tackle evolving hardware

Even though legacy scientific code bases have long lifetimes and not going away anytime soon, by 2030, disruptive technologies would have dramatically changed softwarization. Are we ready to tackle tomorrow’s hardware? Relying on traditional programming paradigms will no longer suffice. We need to explore software abstractions and advanced smart techniques in compiler and runtime systems to effectively exploit tomorrow’s hardware. With the advent of neuromorphic chips and quantum computers as effective accelerators to which traditional X86 systems could offload relevant computations, we need to rethink the impact of these disruptive technologies on today’s software and fundamental programming abstractions.