Adrian Sampson

64 papers A* 16A 2B 1Journal 29Unranked 11
YearRankTypeTitle / Venue / Authors
2026 — conf
Parameterized Hardware Design with Latency-Abstract Interfaces.
ASPLOS (2)
Rachit Nigam, Ethan Gabizon, Edmund Lam, Carolyn Zech, Jonathan Balkind, Adrian Sampson
2025 J jnl
From PyTorch to Calyx: An Open-Source Compiler Toolchain for ML Accelerators.
CoRR
Jiahan Xie, Evan Williams, Adrian Sampson
2025 — ed.
Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 1, ASPLOS 2025, Rotterdam, The Netherlands, 30 March 2025 - 3 April 2025
ASPLOS (1)
Lieven Eeckhout, Georgios Smaragdakis, Kaitai Liang, Adrian Sampson, Martha A. Kim, Christopher J. Rossbach
2025 — ed.
Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2, ASPLOS 2025, Rotterdam, Netherlands, 30 March 2025 - 3 April 2025
ASPLOS (2)
Lieven Eeckhout, Georgios Smaragdakis, Katai Liang, Adrian Sampson, Martha A. Kim, Christopher J. Rossbach
2025 — ed.
Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 3, ASPLOS 2025, Rotterdam, The Netherlands, 30 March 2025 - 3 April 2025
ASPLOS (3)
Lieven Eeckhout, Georgios Smaragdakis, Katai Liang, Adrian Sampson, Martha A. Kim, Christopher J. Rossbach
2025 J jnl
Understanding Accelerator Compilers via Performance Profiling.
CoRR
Ayaka Yorihiro, Griffin Berlstein, Pedro Pontes García, Kevin Laeufer, Adrian Sampson
2024 J jnl
Correct and Compositional Hardware Generators.
CoRR
Rachit Nigam, Ethan Gabizon, Edmund Lam, Adrian Sampson
2024 — conf
Lightweight, Modular Verification for WebAssembly-to-Native Instruction Selection.
ASPLOS (1)
Alexa VanHattum, Monica Pardeshi, Chris Fallin, Adrian Sampson, Fraser Brown
2024 A* conf
Scalable, Programmable and Dense: The HammerBlade Open-Source RISC-V Manycore.
ISCA
Dai Cheol Jung, Max Ruttenberg, Paul Gao, Scott Davidson, Daniel Petrisko, Kangli Li, Aditya K. Kamath, Lin Cheng, Shaolin Xie, Peitian Pan, Zhongyuan Zhao, Zichao Yue, Bandhav Veluri, Sripathi Muralitharan, Adrian Sampson, Andrew Lumsdaine, Zhiru Zhang, Christopher Batten, Mark Oskin, Dustin Richmond, Michael Bedford Taylor
2024 J jnl
Unifying Static and Dynamic Intermediate Languages for Accelerator Generators.
Proc. ACM Program. Lang.
Caleb Kim, Pai Li, Anshuman Mohan, Andrew Butt, Adrian Sampson, Rachit Nigam
2023 J jnl
Fifty Years of ISCA: A data-driven retrospective on key trends.
CoRR
Gaurang Upasani, Matthew D. Sinclair, Adrian Sampson, Parthasarathy Ranganathan, David A. Patterson, Shaan Shah, Nidhi Parthasarathy, Rutwik Jain
2023 J jnl
Fifty Years of the International Symposium on Computer Architecture: A Data-Driven Retrospective.
IEEE Micro
Matthew D. Sinclair, Parthasarathy Ranganathan, Gaurang Upasani, Adrian Sampson, David A. Patterson, Rutwik Jain, Nidhi Parthasarathy, Shaan Shah
2023 J jnl
Modular Hardware Design with Timeline Types.
CoRR
Rachit Nigam, Pedro Henrique Azevedo de Amorim, Adrian Sampson
2023 J jnl
Modular Hardware Design with Timeline Types.
Proc. ACM Program. Lang.
Rachit Nigam, Pedro Henrique Azevedo de Amorim, Adrian Sampson
2023 — conf
Stepwise Debugging for Hardware Accelerators.
ASPLOS (2)
Griffin Berlstein, Rachit Nigam, Christophe Gyurgyik, Adrian Sampson
2023 J jnl
Unifying Static and Dynamic Intermediate Languages for Accelerator Generators.
CoRR
Caleb Kim, Pai Li, Anshuman Mohan, Andrew Butt, Adrian Sampson, Rachit Nigam
2022 A* conf
Compiler-Driven Simulation of Reconfigurable Hardware Accelerators.
HPCA
Zhijing Li, Yuwei Ye, Stephen Neuendorffer, Adrian Sampson
2022 J jnl
Compiler-Driven Simulation of Reconfigurable Hardware Accelerators.
CoRR
Zhijing Li, Yuwei Ye, Stephen Neuendorffer, Adrian Sampson
2022 J jnl
Performance Left on the Table: An Evaluation of Compiler Autovectorization for RISC-V.
IEEE Micro
Neil Adit, Adrian Sampson
2022 — conf
Verifying Dynamic Trait Objects in Rust.
ICSE (SEIP)
Alexa VanHattum, Daniel Schwartz-Narbonne, Nathan Chong, Adrian Sampson
2021 J jnl
A Compiler Infrastructure for Accelerator Generators.
CoRR
Rachit Nigam, Samuel Thomas, Zhijing Li, Adrian Sampson
2021 A* conf
A compiler infrastructure for accelerator generators.
ASPLOS
Rachit Nigam, Samuel Thomas, Zhijing Li, Adrian Sampson
2021 J jnl
Dense Pruning of Pointwise Convolutions in the Frequency Domain.
CoRR
Mark Buckler, Neil Adit, Yuwei Hu, Zhiru Zhang, Adrian Sampson
2021 J jnl
Exploiting Errors for Efficiency: A Survey from Circuits to Applications.
ACM Comput. Surv.
Phillip 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
2021 A* conf
Reticle: a virtual machine for programming modern FPGAs.
PLDI
Luis Vega, Joseph McMahan, Adrian Sampson, Dan Grossman, Luis Ceze
2021 A* conf
Software-Defined Vector Processing on Manycore Fabrics.
MICRO
Philip Bedoukian, Neil Adit, Edwin Peguero, Adrian Sampson
2021 A* conf
Vectorization for digital signal processors via equality saturation.
ASPLOS
Alexa VanHattum, Rachit Nigam, Vincent T. Lee, James Bornholt, Adrian Sampson
2020 B conf
A Synthesis-Aided Compiler for DSP Architectures (WiP Paper).
LCTES
Alexa VanHattum, Rachit Nigam, Vincent T. Lee, James Bornholt, Adrian Sampson
2020 J jnl
Geometry types for graphics programming.
Proc. ACM Program. Lang.
Dietrich Geisler, Irene Yoon, Aditi Kabra, Horace He, Yinnon Sanders, Adrian Sampson
2020 — conf
Online verification of commutativity.
TAPAS@SPLASH
Aditi Kabra, Dietrich Geisler, Adrian Sampson
2020 J jnl
Optimizing JPEG Quantization for Classification Networks.
CoRR
Zhijing Li, Christopher De Sa, Adrian Sampson
2020 J jnl
Predictable Accelerator Design with Time-Sensitive Affine Types.
CoRR
Rachit Nigam, Sachille Atapattu, Samuel Thomas, Zhijing Li, Theodore Bauer, Yuwei Ye, Apurva Koti, Adrian Sampson, Zhiru Zhang
2020 A* conf
Predictable accelerator design with time-sensitive affine types.
PLDI
Rachit Nigam, Sachille Atapattu, Samuel Thomas, Zhijing Li, Theodore Bauer, Yuwei Ye, Apurva Koti, Adrian Sampson, Zhiru Zhang
2018 J jnl
A Taxonomy of General Purpose Approximate Computing Techniques.
IEEE Embed. Syst. Lett.
Thierry Moreau, Joshua San Miguel, Mark Wyse, James Bornholt, Armin Alaghi, Luis Ceze, Natalie D. Enright Jerger, Adrian Sampson
2018 A* conf
EVA
ISCA
Mark Buckler, Philip Bedoukian, Suren Jayasuriya, Adrian Sampson
2018 J jnl
EVA
CoRR
Mark Buckler, Philip Bedoukian, Suren Jayasuriya, Adrian Sampson
2018 J jnl
Exploiting Errors for Efficiency: A Survey from Circuits to Algorithms.
CoRR
Phillip 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
2018 — conf
LambdaLab: an interactive λ-calculus reducer for learning.
SPLASH-E
Daniel Sainati, Adrian Sampson
2018 — ed.
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, 2018
ReQuEST@ASPLOS
Luis Ceze, Natalie D. Enright Jerger, Babak Falsafi, Grigori Fursin, Anton Lokhmotov, Thierry Moreau, Adrian Sampson, Phillip Stanley-Marbell
2017 J jnl
Abstractions for AI-Based User Interfaces and Systems.
CoRR
Alex Renda, Harrison Goldstein, Sarah Bird, Chris Quirk, Adrian Sampson
2017 — conf
Debugging probabilistic programs.
MAPL@PLDI
Chandrakana Nandi, Dan Grossman, Adrian Sampson, Todd Mytkowicz, Kathryn S. McKinley
2017 J jnl
High Five: Improving Gesture Recognition by Embracing Uncertainty.
CoRR
Diman Zad Tootaghaj, Adrian Sampson, Todd Mytkowicz, Kathryn S. McKinley
2017 — conf
Let's Fix OpenGL.
SNAPL
Adrian Sampson
2017 A* conf
Reconfiguring the Imaging Pipeline for Computer Vision.
ICCV
Mark Buckler, Suren Jayasuriya, Adrian Sampson
2017 J jnl
Reconfiguring the Imaging Pipeline for Computer Vision.
CoRR
Mark Buckler, Suren Jayasuriya, Adrian Sampson
2017 J jnl
Static stages for heterogeneous programming.
Proc. ACM Program. Lang.
Adrian Sampson, Kathryn S. McKinley, Todd Mytkowicz
2016 J jnl
Approximate Computing: Unlocking Efficiency with Hardware-Software Co-Design.
GetMobile Mob. Comput. Commun.
Luis Ceze, Adrian Sampson
2015 J jnl
Approximate Computing: Making Mobile Systems More Efficient.
IEEE Pervasive Comput.
Thierry Moreau, Adrian Sampson, Luis Ceze
2015 — —
Hardware and Software for Approximate Computing.
Adrian Sampson
2015 — conf
Hardware-Software Co-Design: Not Just a Cliché.
SNAPL
Adrian Sampson, James Bornholt, Luis Ceze
2015 A* conf
Monitoring and Debugging the Quality of Results in Approximate Programs.
ASPLOS
Michael F. Ringenburg, Adrian Sampson, Isaac Ackerman, Luis Ceze, Dan Grossman
2015 J jnl
Neural acceleration for general-purpose approximate programs.
Commun. ACM
Hadi Esmaeilzadeh, Adrian Sampson, Luis Ceze, Doug Burger
2015 A conf
Probability type inference for flexible approximate programming.
OOPSLA
Brett Boston, Adrian Sampson, Dan Grossman, Luis Ceze
2015 A* conf
SNNAP: Approximate computing on programmable SoCs via neural acceleration.
HPCA
Thierry Moreau, Mark Wyse, Jacob Nelson, Adrian Sampson, Hadi Esmaeilzadeh, Luis Ceze, Mark Oskin
2014 J jnl
Approximate Storage in Solid-State Memories.
ACM Trans. Comput. Syst.
Adrian Sampson, Jacob Nelson, Karin Strauss, Luis Ceze
2014 A* conf
Expressing and verifying probabilistic assertions.
PLDI
Adrian Sampson, Pavel Panchekha, Todd Mytkowicz, Kathryn S. McKinley, Dan Grossman, Luis Ceze
2013 A* conf
Approximate storage in solid-state memories.
MICRO
Adrian Sampson, Jacob Nelson, Karin Strauss, Luis Ceze
2013 J jnl
Neural Acceleration for General-Purpose Approximate Programs.
IEEE Micro
Hadi Esmaeilzadeh, Adrian Sampson, Luis Ceze, Doug Burger
2012 A* conf
Architecture support for disciplined approximate programming.
ASPLOS
Hadi Esmaeilzadeh, Adrian Sampson, Luis Ceze, Doug Burger
2012 — conf
Automatic discovery of performance and energy pitfalls in HTML and CSS.
IISWC
Adrian Sampson, Calin Cascaval, Luis Ceze, Pablo Montesinos, Darío Suárez Gracia
2012 A* conf
Neural Acceleration for General-Purpose Approximate Programs.
MICRO
Hadi Esmaeilzadeh, Adrian Sampson, Luis Ceze, Doug Burger
2011 A* conf
EnerJ: approximate data types for safe and general low-power computation.
PLDI
Adrian Sampson, Werner Dietl, Emily Fortuna, Danushen Gnanapragasam, Luis Ceze, Dan Grossman
2010 A conf
Composable specifications for structured shared-memory communication.
OOPSLA
Benjamin P. Wood, Adrian Sampson, Luis Ceze, Dan Grossman
2008 — conf
On-line Distributed Traffic Grooming.
ICC
R. Jordan Crouser, Brian Rice, Adrian Sampson