| Title |
Scalability |
| Abstract |
How do you optimize the overall performance of a big, computationally intensive code? On an HPC cluster like Frontera at TACC, with 8,570 nodes and nearly half a million cores of various kinds, the most beneficial optimizations are likely to be those that improve a code's scalability. Such optimizations allow your code to run on more and more processors. With that goal in mind, we start with grand design principles and strategies, then proceed to a discussion of software interfaces, the network interconnect, and even processor microarchitectures. This content should guide you towards the right level to concentrate your efforts, and give you some ideas about what to do to make your code more efficient. |
| Authors |
['Steve Lantz, Andrew Dolgert (original)'] |
| Expertise Level |
None |
| Learning Outcome |
None |
| Learning Resource Type |
asynchronous online training |
| Target Group |
['Researchers', 'Research groups', 'Student'] |
| Keywords |
['scalability', 'parallelization', 'weak scaling', 'hybrid programming', "Amdahl's Law", 'speedup', 'interconnect', 'MPI'] |
| Cost |
None |
| Duration |
240 |
| Language |
en |
| License |
None |
| Resource URL Type |
URL |
| Start Datetime |
None |
| URL |
https://cvw.cac.cornell.edu/scalability |
| Version Date |
2023-10 |
| Provider ID |
urn:ogf.org:glue2:access-ci.org:resource:cider:infrastructure.organizations:898 |
| Rating |
None |
