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Acknowledgments

The authors would like to thank Margaret Martonosi for her persistent encouragement to write this book. We would also like to thank Liane Bernstein, Davis Blalock, Natalie Enright Jerger, Jose Javier Gonzalez Ortiz, Fred Kjolstad, Yi-Lun Liao, Andreas Moshovos, Boris Murmann, James Noraky, Angshuman Parashar, Michael Pellauer, Clément Pit-Claudel, Sophia Shao, Mahmhut Ersin Sinangil, Po-An Tsai, Marian Verhelst, Tom Wenisch, Diana Wofk, Nellie Wu, and students in our “Hardware Architectures for Deep Learning” class at MIT, who have provided invaluable feedback and discussions on the topics described in this book. We would also like to express our deepest appreciation to Robin Emer for her suggestions, support, and tremendous patience during the writing of this book.

As mentioned earlier in the Preface, this book is an extension of an earlier tutorial paper, which was based on tutorials we gave at ISCA and MICRO. We would like to thank David Brooks for encouraging us to do the first tutorial at MICRO in 2016, which sparked the effort that led to this book.

This work was funded in part by DARPA YFA, the DARPA contract HR0011-18-3-0007, the MIT Center for Integrated Circuits and Systems (CICS), the MIT-IBM Watson AI Lab, the MIT Quest for Intelligence, the NSF E2CDA 1639921, and gifts/faculty awards from Nvidia, Facebook, Google, Intel, and Qualcomm.

Vivienne Sze, Yu-Hsin Chen, Tien-Ju Yang, and Joel S. Emer

June 2020