1. More Charm++/TAU examples Applications:  NAMD  Parallel Framework for Unstructured Meshing (ParFUM) Features: Profile snapshots: Captures the runtime of the application by segregating it into user specified intervals CUDA Profiling Tracks time spent in CUDA kernel routines Shows scaling behavior for a experiment varying the number of devices used.

2. Load Balancing Phases NAMD Snapshot Profile of over 800sec on 2048 processors Mean Exclusive Time Standard Deviation enqueneSelfB enqueneSelfA Main enqueneWorkB enqueneWorkA Idle

3. NAMD CUDA events GPU efficiency gained by doubling the number of GPU from 16 to 32. These Events are broken down by routine and by device number. Device #0 ~100% efficiency ~50% efficiency

4. NAMD CUDA scaling Non-Bonded Calculations Sum Forces Calculations Scaling by event and device number, Non-Bonded Calculations scale well. Sum Forces less well but the overall time is only a few microseconds. Number of Devices Scaling Efficiency

5. ParFUM CUDA speedup Single CPU or GPU Performance on a 128x8x8 mesh. When run with GPU acceleration enabled ParFUM spent 9 seconds in the CUDA Kernel routines.