Links to The HPC Garage's activities at SIAM PP14, Feb 18-21 in Portland, Oregon, USA.

Your public critiques (and praise) are welcome: @hpcgarage

Events:

• [PDF slides (31 MiB) | abstract] How much (execution) time, energy, and power will my algorithm need? by Rich Vuduc. [Talk (audio recording+slides), Wed Feb 19, 1:45-2:30pm in Salon F.]
• Frontiers of Performance Analysis and Tools, a two-part minisymposium co-organized by Al Maloney (U Oregon) and Rich Vuduc. [Part 1 of 2, 2:40-4:20pm in Salon A; Part 2 of 2, 4:50-6:20 in Salon A]
• [PDF slides (592 KiB) | abstract] Self-stabilizing iterative solvers, by Piyush Sao. [Talk, Wed Feb 19, 11-11:20am in Salon F.]
• [PDF poster (2.3 MiB)] What Can the Roofline Model of Energy Tell Us About How to Build the Next Supercomputer? by Jee Choi. [Poster, Tue Feb 18, 6-8pm in Salon E.]

Additional reference materials:

• Choi, Dukhan, Liu, and Vuduc, “Algorithmic time, energy, and power of candidate HPC building blocks.” IPDPS'14 preprint
• Source code for microbenchmarks used in the above paper: Google Code
• Sao and Vuduc, “Self-stabilizing iterative solvers.” ACM DL.
• Choi, Bedard, Fowler, and Vuduc, “A roofline model of energy.” IPDPS'13 preprint | “Extended remix” (tech report).
• Czechowski and Vuduc, “A theoretical framework for algorithm-architecture co-design.” IPDPS'13 preprint.
• Czechowski et al., “On the communication complexity of 3D FFTs and its implications for exascale.” ICS'12 preprint

Highly relevant and notable work by others:

• S. Williams, A. Waterman, D. Patterson, “Roofline: An Insightful Visual Performance Model for Floating-Point Programs and Multicore Architectures.” CACM (2009).
• G. Hager, J. Treibig, J. Habich, and G. Wellein, “Exploring performance and power properties of modern multicore chips via simple machine models.” CC:P&E (2013). Preprint: arXiv:1208.2908