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Journal Articles
- 2018
[j1]Raghu Prabhakar, Yaqi Zhang
, David Koeplinger, Matthew Feldman, Tian Zhao, Stefan Hadjis, Ardavan Pedram, Christos Kozyrakis, Kunle Olukotun:
Plasticine: A Reconfigurable Accelerator for Parallel Patterns. IEEE Micro 38(3): 20-31 (2018)
Conference and Workshop Papers
- 2021
- [c5]Nathan Zhang, Matthew Feldman, Kunle Olukotun:
High performance lattice regression on FPGAs via a high level hardware description language. FPT 2021: 1-10 - 2020
- [c4]David Durst, Matthew Feldman, Dillon Huff, David Akeley, Ross G. Daly, Gilbert Louis Bernstein, Marco Patrignani, Kayvon Fatahalian, Pat Hanrahan:
Type-directed scheduling of streaming accelerators. PLDI 2020: 408-422 - 2018
- [c3]David Koeplinger, Matthew Feldman, Raghu Prabhakar, Yaqi Zhang, Stefan Hadjis, Ruben Fiszel, Tian Zhao, Luigi Nardi, Ardavan Pedram, Christos Kozyrakis, Kunle Olukotun:
Spatial: a language and compiler for application accelerators. PLDI 2018: 296-311 - 2017
- [c2]Raghu Prabhakar, Yaqi Zhang, David Koeplinger, Matthew Feldman, Tian Zhao, Stefan Hadjis, Ardavan Pedram, Christos Kozyrakis, Kunle Olukotun:
Plasticine: A Reconfigurable Architecture For Parallel Paterns. ISCA 2017: 389-402 - [c1]Christopher De Sa, Matthew Feldman, Christopher Ré, Kunle Olukotun:
Understanding and Optimizing Asynchronous Low-Precision Stochastic Gradient Descent. ISCA 2017: 561-574
Informal and Other Publications
- 2022
- [i2]Matthew Feldman, Tian Zhao, Kunle Olukotun:
Efficient Memory Partitioning in Software Defined Hardware. CoRR abs/2202.01261 (2022) - 2019
- [i1]Artur L. F. Souza, Leonardo B. Oliveira, Sabine Hollatz, Matthew Feldman, Kunle Olukotun, James M. Holton, Aina E. Cohen, Luigi Nardi:
DeepFreak: Learning Crystallography Diffraction Patterns with Automated Machine Learning. CoRR abs/1904.11834 (2019)
Coauthor Index
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