Description
Chairperson: Aditya Bhosale
This talk will highlight recent updates in the collaboration for streaming data compression for instruments between Argonne National Laboratory and Riken R-CCS. Since the last JLESC, we've shared our compression approaches between organizations, and attempted to use each other's compression approaches. We share our findings, lessons learned, and other progress.
Checkpointing large amounts of related data concurrently to stable storage is a common I/O pattern of many HPC applications in a variety of scenarios: checkpoint-restart fault tolerance, coupled workflows that combine simulations with analytics, adjoint computations, etc. This pattern is challenging because it needs to happen frequently and typically leads to I/O bottlenecks that negatively...
Computing at large scales has become extremely challenging due to increasing heterogeneity in both hardware and software. A positive feedback loop of more scientific insight leading to more complex solvers which in turn need more computational resources has been a continuous driver for development of more powerful platforms. The field of computer architecture is poised for more radical changes...
