Plasticine: A Reconfigurable Architecture For Parallel Paterns. - Raghu Prabhakar; Yaqi Zhang 001; David Koeplinger; Matthew Feldman; Tian Zhao 001; Stefan Hadjis; Ardavan Pedram; Christos Kozyrakis; Kunle Olukotun (ISCA, 2017)

Understanding and Optimizing Asynchronous Low-Precision Stochastic Gradient Descent. - Christopher De Sa; Matthew Feldman; Christopher Ré; Kunle Olukotun (ISCA, 2017)

Spatial: a language and compiler for application accelerators. - David Koeplinger; Matthew Feldman; Raghu Prabhakar; Yaqi Zhang 001; Stefan Hadjis; Ruben Fiszel; Tian Zhao 001; Luigi Nardi; Ardavan Pedram; Christos Kozyrakis; Kunle Olukotun (PLDI, 2018)

Plasticine: A Reconfigurable Accelerator for Parallel Patterns. - Raghu Prabhakar; Yaqi Zhang 001; David Koeplinger; Matthew Feldman; Tian Zhao 001; Stefan Hadjis; Ardavan Pedram; Christos Kozyrakis; Kunle Olukotun (IEEE Micro, 2018)

DeepFreak: Learning Crystallography Diffraction Patterns with Automated Machine Learning. - Artur L. F. Souza; Leonardo B. Oliveira; Sabine Hollatz; Matthew Feldman; Kunle Olukotun; James M. Holton; Aina E. Cohen; Luigi Nardi (CoRR, 2019)

Type-directed scheduling of streaming accelerators. - David Durst; Matthew Feldman; Dillon Huff; David Akeley; Ross G. Daly; Gilbert Louis Bernstein; Marco Patrignani; Kayvon Fatahalian; Pat Hanrahan (PLDI, 2020)

High performance lattice regression on FPGAs via a high level hardware description language. - Nathan Zhang; Matthew Feldman; Kunle Olukotun (FPT, 2021)

Efficient Memory Partitioning in Software Defined Hardware. - Matthew Feldman; Tian Zhao 001; Kunle Olukotun (CoRR, 2022)