This page contains slides for Rich Vuduc's talk at Texas A&M on April 7, 2017, in the CESG Seminar.

Thanks to TAMU and Professor Nick Duffield for hosting! Your public critiques (and praise) are welcome: @hpcgarage

- [PDF slides (~ 24 MiB)] “How much time, energy, and power does my algorithm need?”

This work is generously supported in part by a grant from the National Science Foundation (Award 1422935).

Links to some of the key papers referenced in this talk:

- J. Choi, D. Bedard, R. Fowler, R. Vuduc. “A roofline model of energy.” In
*IPDPS'13*. - K. Czechowski, R. Vuduc. “A theoretical framework for algorithm-architecture co-design.” In
*IPDPS'13*. - J. Choi, X. Liu, M. Dukhan, R. Vuduc. “Algorithmic time, energy, and power on candidate HPC building blocks.” In
*IPDPS'14*. - K. Czechowski et al. “Improving the energy efficiency of big cores. In
*ISCA'14*. - O. Green, M. Dukhan, R. Vuduc. “Branch-avoiding graph algorithms.” In
*SPAA'15*. - A. Davidson, S. Baxter, M. Garland, J. Owens. “Work-efficient parallel GPU methods for single-source shortest paths.” In
*IPDPS'14*. - J. Choi, R. Vuduc. “Analyzing the energy-efficiency of the fast multipole method using a DVFS-aware energy model.” Heterogeneous Computing Workshop, 2016.