Applied Mathematics Department Colloquium - Laura Grigori
| Event Description: Laura Grigori, INRIA Paris - Rocquencourt Alpines group, joint with Laboratoire J.L. Lions, UPMC An overview of fast and robust communication-avoiding algorithms In this talk I will discuss one of the main challenges in high performance computing: the increased cost of communication with respect to computation, where communication refers to data transferred either between processors or between different levels of memory hierarchy, including possibly NVMs (non-volatile memories). I will overview novel communication-avoiding numerical methods and algorithms that reduce the communication to a minimum for operations that are at the heart of many calculations, in particular numerical linear algebra algorithms. Those algorithms range from iterative methods (as used in numerical simulations) to low-rank matrix approximations for data analytics (based on LU/QR factorizations with column tournament pivoting). I will also discuss the algorithm/architecture matching of those algorithms |
| Location Information: Main Campus - Engineering Classroom Wing (View Map) 1111 Engineering DR Boulder, CO Room: 265 Main Campus - Engineering Office Tower (View Map) 1111 Engineering DR Boulder, CO Room: 226: Applied Math Conference Room |
| Contact Information: Name: Ian Cunningham Phone: 303-492-4668 Email: amassist@colorado.edu |