-
distributions are highly irregular. On GPUs, simultaneous tree traversal is difficult to implement efficiently, because straight-forward approaches typically lead to high execution divergence. With
-
applications. HPC and orchestration of scientific data processing workflows. Parallel computing (GPU & CPU). good software engineering practices for scientific software (version control, testing, continuous
-
signal processing and/or survey datasets. ML & AI techniques and applications. HPC and orchestration of scientific data processing workflows. Parallel computing (GPU & CPU). good software engineering
Enter an email to receive alerts for parallel-and-distributed-computing-"DIFFER" positions