Parallel Adaptive Data Structures+
Summary
While GPUs and other highly parallel devices excel in processing of regularly structured data their large SIMD width and high number of cores quickly leads to inefficiencies in fine-granular branches and complex synchronization. However, adaptive data structures that cause such problems are indispensable to capture multi-scale phenomena. We must rethink our data arrangement in order to reconcile parallel and adaptive requirements.
Current people
- Robert Strzodka (co-PI)