Jeff Setter

Orcid: 0000-0002-2327-646X

Affiliations:
  • Stanford University, CA, USA


According to our database1, Jeff Setter authored at least 11 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
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PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Amber: A 16-nm System-on-Chip With a Coarse- Grained Reconfigurable Array for Flexible Acceleration of Dense Linear Algebra.
IEEE J. Solid State Circuits, March, 2024

2023
Unified Buffer: Compiling Image Processing and Machine Learning Applications to Push-Memory Accelerators.
ACM Trans. Archit. Code Optim., June, 2023

AHA: An Agile Approach to the Design of Coarse-Grained Reconfigurable Accelerators and Compilers.
ACM Trans. Embed. Comput. Syst., March, 2023

2022
Amber: A 367 GOPS, 538 GOPS/W 16nm SoC with a Coarse-Grained Reconfigurable Array for Flexible Acceleration of Dense Linear Algebra.
Proceedings of the IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits 2022), 2022


2021
Compiling Halide Programs to Push-Memory Accelerators.
CoRR, 2021

2020

Interstellar: Using Halide's Scheduling Language to Analyze DNN Accelerators.
Proceedings of the ASPLOS '20: Architectural Support for Programming Languages and Operating Systems, 2020

2018
DNN Dataflow Choice Is Overrated.
CoRR, 2018

2017
Programming Heterogeneous Systems from an Image Processing DSL.
ACM Trans. Archit. Code Optim., 2017

SWAP: Effective Fine-Grain Management of Shared Last-Level Caches with Minimum Hardware Support.
Proceedings of the 2017 IEEE International Symposium on High Performance Computer Architecture, 2017


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