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ORCIDAdrian Sampson
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- affiliation: Cornell University, Ithaca, NY, USA
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2020 – today
- 2024
[c29]Alexa VanHattum
, Monica Pardeshi, Chris Fallin, Adrian Sampson, Fraser Brown:
Lightweight, Modular Verification for WebAssembly-to-Native Instruction Selection. ASPLOS (1) 2024: 231-248- [c28]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: 770-784 - [i14]Rachit Nigam, Ethan Gabizon, Edmund Lam, Adrian Sampson:
Correct and Compositional Hardware Generators. CoRR abs/2401.02570 (2024) - 2023
- [j12]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): 109-124 (2023) - [j11]Rachit Nigam, Pedro Henrique Azevedo de Amorim, Adrian Sampson:
Modular Hardware Design with Timeline Types. Proc. ACM Program. Lang. 7(PLDI): 343-367 (2023) - [c27]Griffin Berlstein, Rachit Nigam, Christophe Gyurgyik, Adrian Sampson:
Stepwise Debugging for Hardware Accelerators. ASPLOS (2) 2023: 778-790 - [i13]Rachit Nigam, Pedro Henrique Azevedo de Amorim, Adrian Sampson:
Modular Hardware Design with Timeline Types. CoRR abs/2304.10646 (2023) - [i12]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 abs/2306.03964 (2023) - [i11]Caleb Kim, Pai Li, Anshuman Mohan, Andrew Butt, Adrian Sampson, Rachit Nigam:
Unifying Static and Dynamic Intermediate Languages for Accelerator Generators. CoRR abs/2312.16300 (2023) - 2022
- [j10]Neil Adit, Adrian Sampson:
Performance Left on the Table: An Evaluation of Compiler Autovectorization for RISC-V. IEEE Micro 42(5): 41-48 (2022) - [c26]Zhijing Li, Yuwei Ye, Stephen Neuendorffer, Adrian Sampson:
Compiler-Driven Simulation of Reconfigurable Hardware Accelerators. HPCA 2022: 619-632 - [c25]Alexa VanHattum, Daniel Schwartz-Narbonne, Nathan Chong, Adrian Sampson:
Verifying Dynamic Trait Objects in Rust. ICSE (SEIP) 2022: 321-330 - [i10]Zhijing Li, Yuwei Ye, Stephen Neuendorffer, Adrian Sampson:
Compiler-Driven Simulation of Reconfigurable Hardware Accelerators. CoRR abs/2202.00739 (2022) - 2021
- [j9]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): 51:1-51:39 (2021) - [c24]Rachit Nigam, Samuel Thomas, Zhijing Li, Adrian Sampson:
A compiler infrastructure for accelerator generators. ASPLOS 2021: 804-817 - [c23]Alexa VanHattum, Rachit Nigam, Vincent T. Lee, James Bornholt, Adrian Sampson:
Vectorization for digital signal processors via equality saturation. ASPLOS 2021: 874-886 - [c22]Philip Bedoukian, Neil Adit, Edwin Peguero, Adrian Sampson:
Software-Defined Vector Processing on Manycore Fabrics. MICRO 2021: 392-406 - [c21]Luis Vega, Joseph McMahan, Adrian Sampson, Dan Grossman, Luis Ceze:
Reticle: a virtual machine for programming modern FPGAs. PLDI 2021: 756-771 - [i9]Rachit Nigam, Samuel Thomas, Zhijing Li, Adrian Sampson:
A Compiler Infrastructure for Accelerator Generators. CoRR abs/2102.09713 (2021) - [i8]Mark Buckler, Neil Adit, Yuwei Hu, Zhiru Zhang, Adrian Sampson:
Dense Pruning of Pointwise Convolutions in the Frequency Domain. CoRR abs/2109.07707 (2021) - 2020
- [j8]Dietrich Geisler, Irene Yoon, Aditi Kabra, Horace He, Yinnon Sanders, Adrian Sampson:
Geometry types for graphics programming. Proc. ACM Program. Lang. 4(OOPSLA): 173:1-173:25 (2020) - [c20]Alexa VanHattum, Rachit Nigam, Vincent T. Lee, James Bornholt, Adrian Sampson:
A Synthesis-Aided Compiler for DSP Architectures (WiP Paper). LCTES 2020: 131-135 - [c19]Aditi Kabra, Dietrich Geisler, Adrian Sampson:
Online verification of commutativity. TAPAS@SPLASH 2020: 10-19 - [c18]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: 393-407 - [i7]Zhijing Li, Christopher De Sa, Adrian Sampson:
Optimizing JPEG Quantization for Classification Networks. CoRR abs/2003.02874 (2020) - [i6]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 abs/2004.04852 (2020)
2010 – 2019
- 2018
- [j7]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): 2-5 (2018) - [c17]Mark Buckler, Philip Bedoukian, Suren Jayasuriya, Adrian Sampson:
EVA2: Exploiting Temporal Redundancy in Live Computer Vision. ISCA 2018: 533-546 - [c16]Daniel Sainati, Adrian Sampson:
LambdaLab: an interactive λ-calculus reducer for learning. SPLASH-E 2018: 10-19 - [e1]Luis Ceze, Natalie D. Enright Jerger, Babak Falsafi, Grigori Fursin, Anton Lokhmotov, Thierry Moreau, Adrian Sampson, Phillip Stanley-Marbell:
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. ACM 2018 [contents] - [i5]Mark Buckler, Philip Bedoukian, Suren Jayasuriya, Adrian Sampson:
EVA2 : Exploiting Temporal Redundancy in Live Computer Vision. CoRR abs/1803.06312 (2018) - [i4]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 abs/1809.05859 (2018) - 2017
- [j6]Adrian Sampson, Kathryn S. McKinley, Todd Mytkowicz:
Static stages for heterogeneous programming. Proc. ACM Program. Lang. 1(OOPSLA): 71:1-71:27 (2017) - [c15]Mark Buckler, Suren Jayasuriya, Adrian Sampson:
Reconfiguring the Imaging Pipeline for Computer Vision. ICCV 2017: 975-984 - [c14]Chandrakana Nandi, Dan Grossman, Adrian Sampson, Todd Mytkowicz, Kathryn S. McKinley:
Debugging probabilistic programs. MAPL@PLDI 2017: 18-26 - [c13]Adrian Sampson:
Let's Fix OpenGL. SNAPL 2017: 14:1-14:12 - [i3]Mark Buckler, Suren Jayasuriya, Adrian Sampson:
Reconfiguring the Imaging Pipeline for Computer Vision. CoRR abs/1705.04352 (2017) - [i2]Alex Renda, Harrison Goldstein, Sarah Bird, Chris Quirk, Adrian Sampson:
Abstractions for AI-Based User Interfaces and Systems. CoRR abs/1709.04991 (2017) - [i1]Diman Zad Tootaghaj, Adrian Sampson, Todd Mytkowicz, Kathryn S. McKinley:
High Five: Improving Gesture Recognition by Embracing Uncertainty. CoRR abs/1710.09441 (2017) - 2016
- [j5]Luis Ceze, Adrian Sampson:
Approximate Computing: Unlocking Efficiency with Hardware-Software Co-Design. GetMobile Mob. Comput. Commun. 20(3): 12-16 (2016) - 2015
- [b1]Adrian Sampson:
Hardware and Software for Approximate Computing. University of Washington, USA, 2015 - [j4]Hadi Esmaeilzadeh, Adrian Sampson, Luis Ceze, Doug Burger:
Neural acceleration for general-purpose approximate programs. Commun. ACM 58(1): 105-115 (2015) - [j3]Thierry Moreau, Adrian Sampson, Luis Ceze:
Approximate Computing: Making Mobile Systems More Efficient. IEEE Pervasive Comput. 14(2): 9-13 (2015) - [c12]Michael F. Ringenburg, Adrian Sampson, Isaac Ackerman, Luis Ceze, Dan Grossman:
Monitoring and Debugging the Quality of Results in Approximate Programs. ASPLOS 2015: 399-411 - [c11]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: 603-614 - [c10]Brett Boston, Adrian Sampson, Dan Grossman, Luis Ceze:
Probability type inference for flexible approximate programming. OOPSLA 2015: 470-487 - [c9]Adrian Sampson, James Bornholt, Luis Ceze:
Hardware-Software Co-Design: Not Just a Cliché. SNAPL 2015: 262-273 - 2014
- [j2]Adrian Sampson, Jacob Nelson, Karin Strauss, Luis Ceze:
Approximate Storage in Solid-State Memories. ACM Trans. Comput. Syst. 32(3): 9:1-9:23 (2014) - [c8]Adrian Sampson, Pavel Panchekha, Todd Mytkowicz, Kathryn S. McKinley, Dan Grossman, Luis Ceze:
Expressing and verifying probabilistic assertions. PLDI 2014: 112-122 - 2013
- [j1]Hadi Esmaeilzadeh, Adrian Sampson, Luis Ceze, Doug Burger:
Neural Acceleration for General-Purpose Approximate Programs. IEEE Micro 33(3): 16-27 (2013) - [c7]Adrian Sampson, Jacob Nelson, Karin Strauss, Luis Ceze:
Approximate storage in solid-state memories. MICRO 2013: 25-36 - 2012
- [c6]Hadi Esmaeilzadeh, Adrian Sampson, Luis Ceze, Doug Burger:
Architecture support for disciplined approximate programming. ASPLOS 2012: 301-312 - [c5]Adrian Sampson, Calin Cascaval, Luis Ceze, Pablo Montesinos, Darío Suárez Gracia:
Automatic discovery of performance and energy pitfalls in HTML and CSS. IISWC 2012: 82-83 - [c4]Hadi Esmaeilzadeh, Adrian Sampson, Luis Ceze, Doug Burger:
Neural Acceleration for General-Purpose Approximate Programs. MICRO 2012: 449-460 - 2011
- [c3]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: 164-174 - 2010
- [c2]Benjamin P. Wood, Adrian Sampson, Luis Ceze, Dan Grossman:
Composable specifications for structured shared-memory communication. OOPSLA 2010: 140-159
2000 – 2009
- 2008
- [c1]R. Jordan Crouser, Brian Rice, Adrian Sampson:
On-line Distributed Traffic Grooming. ICC 2008: 5239-5245
Coauthor Index
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last updated on 2024-10-07 22:11 CEST by the dblp team
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