A pervasive parallel framework for visualization: final report for FWP 10-014707
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
We are on the threshold of a transformative change in the basic architecture of highperformance computing. The use of accelerator processors, characterized by large core counts, shared but asymmetrical memory, and heavy thread loading, is quickly becoming the norm in high performance computing. These accelerators represent significant challenges in updating our existing base of software. An intrinsic problem with this transition is a fundamental programming shift from message passing processes to much more fine thread scheduling with memory sharing. Another problem is the lack of stability in accelerator implementation; processor and compiler technology is currently changing rapidly. This report documents the results of our three-year ASCR project to address these challenges. Our project includes the development of the Dax toolkit, which contains the beginnings of new algorithms for a new generation of computers and the underlying infrastructure to rapidly prototype and build further algorithms as necessary.
- Research Organization:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA)
- DOE Contract Number:
- AC04-94AL85000
- OSTI ID:
- 1121918
- Report Number(s):
- SAND2014-0047; 493312
- Country of Publication:
- United States
- Language:
- English
Similar Records
A Pervasive Parallel Processing Framework for Data Visualization and Analysis at Extreme Scale
A communication-avoiding, hybrid-parallel, rank-revealing orthogonalization method.