Architecture Support for Disciplined Approximate Programming. H. Esmaeilzadeh, A. Sampson, L. Ceze, and D. Burger. In ASPLOS 2012.
EnerJ: Approximate Data Types for Safe and General Low-Power Computation. A. Sampson, W. Dietl, E. Fortuna, D. Gnanapragasam, L. Ceze, and D. Grossman. In PLDI 2011.
Composable Specifications for Structured Shared-Memory Communication. B. Wood, A. Sampson, L. Ceze, and D. Grossman. In OOPSLA 2010.
On-line Distributed Traffic Grooming. R. J. Crouser, B. Rice, A. Sampson, and R. Libeskind-Hadas. In ICC 2008.
Addressing Dark Silicon Challenges with Disciplined Approximate Computing. H. Esmaeilzadeh, A. Sampson, M. Ringenburg, D. Grossman, L. Ceze and D. Burger. In DaSi 2012 (co-located with ISCA).
Towards Neural Acceleration for General-Purpose Approximate Computing. H. Esmaeilzadeh, A. Sampson, L. Ceze and D. Burger. In WEED 2012 (co-located with ISCA).
Greedy Coherence. E. Fortuna, B. Lucia, A. Sampson, B. Wood, and L. Ceze. In HPPC 2011 (co-located with MICRO).
Dense Approximate Storage in Phase-Change Memory. Short position paper by Jacob Nelson, Adrian Sampson, and Luis Ceze. Presented in the Ideas & Perspectives session at ASPLOS 2011.
Facebook Ph.D. Fellowship (2012–2013)
University of Washington Hacherl Graduate Fellowship in Computer Science and Engineering (2009)
Hertz Foundation Fellowship Finalist (2009)
Harvey Mudd College (2009):
Teaching Assistant, University of Washington:
Tutor, University of Washington, 2009–present: CSE 303 (Software Development), 311 (Foundations of Computing), 322 (Formal Models), 331 (Software Engineering), 351 (The Hardware/Software Interface)
University of Washington, Computer Science and Engineering:
Paper Reviews: ASPLOS 2011, POPL 2012, PPoPP 2012, PLDI 2012
Adrian Sampson — asampson@cs.washington.edu