Adrian Sampson - researchr profile publications

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Publications with a 'Adrian Sampson' as author, editor, or advisor:

Information visualization and the arts-science-social science interfaceJames Bown, Kenneth Fee, A. Sampson, Mark M. Shovman, Ruth Falconer, A. Goltsov, J. Issacs, P. Robertson, Kenneth C. Scott-Brown, Andrea Szymkowiak. iitm 2010: 9-17 [doi]
Probability type inference for flexible approximate programmingBrett Boston, Adrian Sampson, Dan Grossman, Luis Ceze. OOPSLA 2015: 470-487 [doi]
Proceedings of the 1st on Reproducible Quality-Efficient Systems Tournament on Co-designing Pareto-efficient Deep Learning, ReQuEST@ASPLOS 2018, Williamsburg, VA, USA, March 24, 2018Luis Ceze, Natalie D. Enright Jerger, Babak Falsafi, Grigori Fursin, Anton Lokhmotov, Thierry Moreau, Adrian Sampson, Phillip Stanley-Marbell, editors, ACM, 2018. [doi]
Compiler-Driven Simulation of Reconfigurable Hardware AcceleratorsZhijing Li 0002, Yuwei Ye, Stephen Neuendorffer, Adrian Sampson. hpca 2022: 619-632 [doi]
Neural Acceleration for General-Purpose Approximate ProgramsHadi Esmaeilzadeh, Adrian Sampson, Luis Ceze, Doug Burger. micro, 33(3):16-27, 2013. [doi]
EnerJ: approximate data types for safe and general low-power computationAdrian Sampson, Werner Dietl, Emily Fortuna, Danushen Gnanapragasam, Luis Ceze, Dan Grossman. PLDI 2011: 164-174 [doi]
Neural acceleration for general-purpose approximate programsHadi Esmaeilzadeh, Adrian Sampson, Luis Ceze, Doug Burger. CACM, 58(1):105-115, 2015. [doi]
On-line Distributed Traffic GroomingR. Jordan Crouser, Brian Rice, Adrian Sampson. icc 2008: 5239-5245 [doi]
Verifying Dynamic Trait Objects in RustAlexa VanHattum, Daniel Schwartz-Narbonne, Nathan Chong, Adrian Sampson. ICSE 2022: 321-330 [doi]
Automatic discovery of performance and energy pitfalls in HTML and CSSAdrian Sampson, Calin Cascaval, Luis Ceze, Pablo Montesinos, Darío Suárez Gracia. iiswc 2012: 82-83 [doi]
Approximate Computing: Making Mobile Systems More EfficientThierry Moreau, Adrian Sampson, Luis Ceze. pervasive, 14(2):9-13, 2015. [doi]
Online verification of commutativityAditi Kabra, Dietrich Geisler, Adrian Sampson. OOPSLA 2020: 10-19 [doi]
Approximate storage in solid-state memoriesAdrian Sampson, Jacob Nelson, Karin Strauss, Luis Ceze. micro 2013: 25-36 [doi]
Software-Defined Vector Processing on Manycore FabricsPhilip Bedoukian, Neil Adit, Edwin Peguero, Adrian Sampson. micro 2021: 392-406 [doi]
Reconfiguring the Imaging Pipeline for Computer VisionMark Buckler, Suren Jayasuriya, Adrian Sampson. iccv 2017: 975-984 [doi]
Monitoring and Debugging the Quality of Results in Approximate ProgramsMichael F. Ringenburg, Adrian Sampson, Isaac Ackerman, Luis Ceze, Dan Grossman. asplos 2015: 399-411 [doi]
Geometry types for graphics programmingDietrich Geisler, Irene Yoon, Aditi Kabra, Horace He, Yinnon Sanders, Adrian Sampson. PACMPL, 4(OOPSLA), 2020. [doi]
Reticle: a virtual machine for programming modern FPGAsLuis Vega, Joseph McMahan, Adrian Sampson, Dan Grossman, Luis Ceze. PLDI 2021: 756-771 [doi]
Static stages for heterogeneous programmingAdrian Sampson, Kathryn S. McKinley, Todd Mytkowicz. PACMPL, 1(OOPSLA), 2017. [doi]
Modular Hardware Design with Timeline TypesRachit Nigam, Pedro Henrique Azevedo de Amorim, Adrian Sampson. PACMPL, 7(PLDI):343-367, 2023. [doi]
Exploiting Errors for Efficiency: A Survey from Circuits to ApplicationsPhillip Stanley-Marbell, Armin Alaghi, Michael Carbin, Eva Darulova, Lara Dolecek, Andreas Gerstlauer, Ghayoor Gillani, Djordje Jevdjic, Thierry Moreau, Mattia Cacciotti, Alexandros Daglis, Natalie D. Enright Jerger, Babak Falsafi, Sasa Misailovic, Adrian Sampson, Damien Zufferey. ACM Comput. Surv., 53(3), 2020. [doi]
Vectorization for digital signal processors via equality saturationAlexa VanHattum, Rachit Nigam, Vincent T. Lee, James Bornholt, Adrian Sampson. asplos 2021: 874-886 [doi]
Stepwise Debugging for Hardware AcceleratorsGriffin Berlstein, Rachit Nigam, Christophe Gyurgyik, Adrian Sampson. asplos 2023: 778-790 [doi]
Hardware-Software Co-Design: Not Just a ClichéAdrian Sampson, James Bornholt, Luis Ceze. SNAPL 2015: 262-273 [doi]
Architecture support for disciplined approximate programmingHadi Esmaeilzadeh, Adrian Sampson, Luis Ceze, Doug Burger. asplos 2012: 301-312 [doi]
Expressing and verifying probabilistic assertionsAdrian Sampson, Pavel Panchekha, Todd Mytkowicz, Kathryn S. McKinley, Dan Grossman, Luis Ceze. PLDI 2014: 14 [doi]
Composable specifications for structured shared-memory communicationBenjamin P. Wood, Adrian Sampson, Luis Ceze, Dan Grossman. OOPSLA 2010: 140-159 [doi]
A Synthesis-Aided Compiler for DSP Architectures (WiP Paper)Alexa VanHattum, Rachit Nigam, Vincent T. Lee, James Bornholt, Adrian Sampson. lctrts 2020: 131-135 [doi]
Hardware and Software for Approximate ComputingAdrian Sampson. PhD thesis, University of Washington, USA, 2015. [doi]
Debugging probabilistic programsChandrakana Nandi, Dan Grossman, Adrian Sampson, Todd Mytkowicz, Kathryn S. McKinley. PLDI 2017: 18-26 [doi]
Fifty Years of the International Symposium on Computer Architecture: A Data-Driven RetrospectiveMatthew D. Sinclair, Parthasarathy Ranganathan, Gaurang Upasani, Adrian Sampson, David A. Patterson 0001, Rutwik Jain, Nidhi Parthasarathy, Shaan Shah. micro, 43(6):109-124, November - December 2023. [doi]
Performance Left on the Table: An Evaluation of Compiler Autovectorization for RISC-VNeil Adit, Adrian Sampson. micro, 42(5):41-48, 2022. [doi]
Approximate Computing: Unlocking Efficiency with Hardware-Software Co-DesignLuis Ceze, Adrian Sampson. sigmobile, 20(3):12-16, 2016. [doi]
Approximate Storage in Solid-State MemoriesAdrian Sampson, Jacob Nelson, Karin Strauss, Luis Ceze. tocs, 32(3), 2014. [doi]
LambdaLab: an interactive λ-calculus reducer for learningDaniel Sainati, Adrian Sampson. SPLASH 2018: 10-19 [doi]
Neural Acceleration for General-Purpose Approximate ProgramsHadi Esmaeilzadeh, Adrian Sampson, Luis Ceze, Doug Burger. micro 2012: 449-460 [doi]
Let's Fix OpenGLAdrian Sampson. SNAPL 2017: [doi]
2: Exploiting Temporal Redundancy in Live Computer VisionMark Buckler, Philip Bedoukian, Suren Jayasuriya, Adrian Sampson. isca 2018: 533-546 [doi]
A compiler infrastructure for accelerator generatorsRachit Nigam, Samuel Thomas, Zhijing Li 0002, Adrian Sampson. asplos 2021: 804-817 [doi]
A Taxonomy of General Purpose Approximate Computing TechniquesThierry Moreau, Joshua San Miguel, Mark Wyse, James Bornholt, Armin Alaghi, Luis Ceze, Natalie D. Enright Jerger, Adrian Sampson. esl, 10(1):2-5, 2018. [doi]
Lightweight, Modular Verification for WebAssembly-to-Native Instruction SelectionAlexa VanHattum, Monica Pardeshi, Chris Fallin, Adrian Sampson, Fraser Brown. asplos 2024: 231-248 [doi]
SNNAP: Approximate computing on programmable SoCs via neural accelerationThierry Moreau, Mark Wyse, Jacob Nelson, Adrian Sampson, Hadi Esmaeilzadeh, Luis Ceze, Mark Oskin. hpca 2015: 603-614 [doi]
Predictable accelerator design with time-sensitive affine typesRachit Nigam, Sachille Atapattu, Samuel Thomas, Zhijing Li, Theodore Bauer, Yuwei Ye, Apurva Koti, Adrian Sampson, Zhiru Zhang. PLDI 2020: 393-407 [doi]
Architecture support for disciplined approximate programmingEsmaeilzadeh, Hadi, Sampson, Adrian, Ceze, Luis, Burger, Doug. In Proceedings of the seventeenth international conference on Architectural Support for Programming Languages and Operating Systems. 2012: 301-312 [doi]

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