Adrian Sampson

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 39

Top Topics

Digital Signal Processors

Temporal Redundancy

Hardware Designs

Top Venues

Proc. ACM Program. Lang.

Publications

Alexa VanHattum, Monica Pardeshi, Chris Fallin, Adrian Sampson, Fraser Brown
Lightweight, Modular Verification for WebAssembly-to-Native Instruction Selection. ASPLOS (1) (2024)
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
Scalable, Programmable and Dense: The HammerBlade Open-Source RISC-V Manycore. ISCA (2024)
Rachit Nigam, Ethan Gabizon, Edmund Lam, Adrian Sampson
Correct and Compositional Hardware Generators. CoRR (2024)
Matthew D. Sinclair, Parthasarathy Ranganathan, Gaurang Upasani, Adrian Sampson, David A. Patterson, Rutwik Jain, Nidhi Parthasarathy, Shaan Shah
Fifty Years of the International Symposium on Computer Architecture: A Data-Driven Retrospective. IEEE Micro 43 (6) (2023)
Rachit Nigam, Pedro Henrique Azevedo de Amorim, Adrian Sampson
Modular Hardware Design with Timeline Types. Proc. ACM Program. Lang. 7 (PLDI) (2023)
Rachit Nigam, Pedro Henrique Azevedo de Amorim, Adrian Sampson
Modular Hardware Design with Timeline Types. CoRR (2023)
Griffin Berlstein, Rachit Nigam, Christophe Gyurgyik, Adrian Sampson
Stepwise Debugging for Hardware Accelerators. ASPLOS (2) (2023)
Gaurang Upasani, Matthew D. Sinclair, Adrian Sampson, Parthasarathy Ranganathan, David A. Patterson, Shaan Shah, Nidhi Parthasarathy, Rutwik Jain
Fifty Years of ISCA: A data-driven retrospective on key trends. CoRR (2023)
Caleb Kim, Pai Li, Anshuman Mohan, Andrew Butt, Adrian Sampson, Rachit Nigam
Unifying Static and Dynamic Intermediate Languages for Accelerator Generators. CoRR (2023)
Neil Adit, Adrian Sampson
Performance Left on the Table: An Evaluation of Compiler Autovectorization for RISC-V. IEEE Micro 42 (5) (2022)
Zhijing Li, Yuwei Ye, Stephen Neuendorffer, Adrian Sampson
Compiler-Driven Simulation of Reconfigurable Hardware Accelerators. CoRR (2022)
Zhijing Li, Yuwei Ye, Stephen Neuendorffer, Adrian Sampson
Compiler-Driven Simulation of Reconfigurable Hardware Accelerators. HPCA (2022)
Alexa VanHattum, Daniel Schwartz-Narbonne, Nathan Chong, Adrian Sampson
Verifying Dynamic Trait Objects in Rust. ICSE (SEIP) (2022)
Mark Buckler, Neil Adit, Yuwei Hu, Zhiru Zhang, Adrian Sampson
Dense Pruning of Pointwise Convolutions in the Frequency Domain. CoRR (2021)
Rachit Nigam, Samuel Thomas, Zhijing Li, Adrian Sampson
A Compiler Infrastructure for Accelerator Generators. CoRR (2021)
Philip Bedoukian, Neil Adit, Edwin Peguero, Adrian Sampson
Software-Defined Vector Processing on Manycore Fabrics. MICRO (2021)
Luis Vega, Joseph McMahan, Adrian Sampson, Dan Grossman, Luis Ceze
Reticle: a virtual machine for programming modern FPGAs. PLDI (2021)
Alexa VanHattum, Rachit Nigam, Vincent T. Lee, James Bornholt, Adrian Sampson
Vectorization for digital signal processors via equality saturation. ASPLOS (2021)
Rachit Nigam, Samuel Thomas, Zhijing Li, Adrian Sampson
A compiler infrastructure for accelerator generators. ASPLOS (2021)
Rachit Nigam, Sachille Atapattu, Samuel Thomas, Zhijing Li, Theodore Bauer, Yuwei Ye, Apurva Koti, Adrian Sampson, Zhiru Zhang
Predictable Accelerator Design with Time-Sensitive Affine Types. CoRR (2020)
Aditi Kabra, Dietrich Geisler, Adrian Sampson
Online verification of commutativity. TAPAS@SPLASH (2020)
Zhijing Li, Christopher De Sa, Adrian Sampson
Optimizing JPEG Quantization for Classification Networks. CoRR (2020)
Rachit Nigam, Sachille Atapattu, Samuel Thomas, Zhijing Li, Theodore Bauer, Yuwei Ye, Apurva Koti, Adrian Sampson, Zhiru Zhang
Predictable accelerator design with time-sensitive affine types. PLDI (2020)
Alexa VanHattum, Rachit Nigam, Vincent T. Lee, James Bornholt, Adrian Sampson
A Synthesis-Aided Compiler for DSP Architectures (WiP Paper). LCTES (2020)
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
Exploiting Errors for Efficiency: A Survey from Circuits to Applications. ACM Comput. Surv. 53 (3) (2020)
Dietrich Geisler, Irene Yoon, Aditi Kabra, Horace He, Yinnon Sanders, Adrian Sampson
Geometry types for graphics programming. Proc. ACM Program. Lang. 4 (OOPSLA) (2020)
Daniel Sainati, Adrian Sampson
LambdaLab: an interactive λ-calculus reducer for learning. SPLASH-E (2018)
Mark Buckler, Philip Bedoukian, Suren Jayasuriya, Adrian Sampson
: Exploiting Temporal Redundancy in Live Computer Vision. CoRR (2018)
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
Exploiting Errors for Efficiency: A Survey from Circuits to Algorithms. CoRR (2018)
Thierry Moreau, Joshua San Miguel, Mark Wyse, James Bornholt, Armin Alaghi, Luis Ceze, Natalie D. Enright Jerger, Adrian Sampson
A Taxonomy of General Purpose Approximate Computing Techniques. IEEE Embed. Syst. Lett. 10 (1) (2018)
Mark Buckler, Philip Bedoukian, Suren Jayasuriya, Adrian Sampson
: Exploiting Temporal Redundancy in Live Computer Vision. ISCA (2018)
Adrian Sampson, Kathryn S. McKinley, Todd Mytkowicz
Static stages for heterogeneous programming. Proc. ACM Program. Lang. 1 (OOPSLA) (2017)
Mark Buckler, Suren Jayasuriya, Adrian Sampson
Reconfiguring the Imaging Pipeline for Computer Vision. ICCV (2017)
Adrian Sampson
Let's Fix OpenGL. SNAPL (2017)
Diman Zad Tootaghaj, Adrian Sampson, Todd Mytkowicz, Kathryn S. McKinley
High Five: Improving Gesture Recognition by Embracing Uncertainty. CoRR (2017)
Chandrakana Nandi, Dan Grossman, Adrian Sampson, Todd Mytkowicz, Kathryn S. McKinley
Debugging probabilistic programs. MAPL@PLDI (2017)
Mark Buckler, Suren Jayasuriya, Adrian Sampson
Reconfiguring the Imaging Pipeline for Computer Vision. CoRR (2017)
Alex Renda, Harrison Goldstein, Sarah Bird, Chris Quirk, Adrian Sampson
Abstractions for AI-Based User Interfaces and Systems. CoRR (2017)
Luis Ceze, Adrian Sampson
Approximate Computing: Unlocking Efficiency with Hardware-Software Co-Design. GetMobile Mob. Comput. Commun. 20 (3) (2016)
Thierry Moreau, Mark Wyse, Jacob Nelson, Adrian Sampson, Hadi Esmaeilzadeh, Luis Ceze, Mark Oskin
SNNAP: Approximate computing on programmable SoCs via neural acceleration. HPCA (2015)
Thierry Moreau, Adrian Sampson, Luis Ceze
Approximate Computing: Making Mobile Systems More Efficient. IEEE Pervasive Comput. 14 (2) (2015)
Michael F. Ringenburg, Adrian Sampson, Isaac Ackerman, Luis Ceze, Dan Grossman
Monitoring and Debugging the Quality of Results in Approximate Programs. ASPLOS (2015)
Hadi Esmaeilzadeh, Adrian Sampson, Luis Ceze, Doug Burger
Neural acceleration for general-purpose approximate programs. Commun. ACM 58 (1) (2015)
Brett Boston, Adrian Sampson, Dan Grossman, Luis Ceze
Probability type inference for flexible approximate programming. OOPSLA (2015)
Adrian Sampson, James Bornholt, Luis Ceze
Hardware-Software Co-Design: Not Just a Cliché. SNAPL (2015)
Adrian Sampson, Pavel Panchekha, Todd Mytkowicz, Kathryn S. McKinley, Dan Grossman, Luis Ceze
Expressing and verifying probabilistic assertions. PLDI (2014)
Adrian Sampson, Jacob Nelson, Karin Strauss, Luis Ceze
Approximate Storage in Solid-State Memories. ACM Trans. Comput. Syst. 32 (3) (2014)
Adrian Sampson, Jacob Nelson, Karin Strauss, Luis Ceze
Approximate storage in solid-state memories. MICRO (2013)
Hadi Esmaeilzadeh, Adrian Sampson, Luis Ceze, Doug Burger
Neural Acceleration for General-Purpose Approximate Programs. IEEE Micro 33 (3) (2013)
Hadi Esmaeilzadeh, Adrian Sampson, Luis Ceze, Doug Burger
Neural Acceleration for General-Purpose Approximate Programs. MICRO (2012)
Adrian Sampson, Calin Cascaval, Luis Ceze, Pablo Montesinos, Darío Suárez Gracia
Automatic discovery of performance and energy pitfalls in HTML and CSS. IISWC (2012)
Hadi Esmaeilzadeh, Adrian Sampson, Luis Ceze, Doug Burger
Architecture support for disciplined approximate programming. ASPLOS (2012)
Adrian Sampson, Werner Dietl, Emily Fortuna, Danushen Gnanapragasam, Luis Ceze, Dan Grossman
EnerJ: approximate data types for safe and general low-power computation. PLDI (2011)
Benjamin P. Wood, Adrian Sampson, Luis Ceze, Dan Grossman
Composable specifications for structured shared-memory communication. OOPSLA (2010)
R. Jordan Crouser, Brian Rice, Adrian Sampson
On-line Distributed Traffic Grooming. ICC (2008)