Academic career
In 1984, Horowitz joined the Stanford faculty. At Stanford his research focused on VLSI circuits [9] and he led a number of early RISC processor designs, including MIPS-X. [10] His research has been in the fields of electrical engineering, computer science, and applying engineering tools to biology. He has worked on RISC processors, multiprocessor designs, low-power circuits, high-speed links, computational photography, and genomics. [11] [12] Horowitz and his research group at Stanford pioneered many innovations in high-speed link design, and many of today’s high speed link designs are designed by his former students or colleagues from Rambus. [13]
In the 2000s he teamed up with Marc Levoy to work on computational photography, research which explored how to use computation to create better pictures, often by using data from multiple sensors. This research also explored light-field photography, which captured enough information to allow a computer to reconstruct the view to an arbitrary viewpoint. [14] The need to capture light-fields to process led to the creation of the Stanford Camera Array, a system which could synchronize and collect images from 100 image sensors, [15] as well as work that eventually led to the Lytro camera, whose photographs could be refocused after they were captured. [16]
In 2006, Horowitz received the IEEE Donald O. Pederson Award in Solid-State Circuits "for pioneering contributions to the design of high-performance digital integrated circuits and systems". [17] In 2007, he was elected to the National Academy of Engineering for his "leadership in high-bandwidth memory-interface technology and in scalable cache-coherent multiprocessor architectures." [9] In 2008, he was elected to the American Academy of Arts and Sciences. [11] At the 2014 International Solid-State Circuits Conference, he presented his studies on the outlook for the semiconductor industry in Computing's Energy Problem (And What We Can Do About It). [18]
In 2018 Horowitz founded the AHA Agile Hardware Project at Stanford University and has led it ever since. The program aims to "enable a more agile hardware development flow" by creating "an open source hardware/software tool chain to rapidly create and validate alternative hardware implementations and a new open-source system ARM/CGRA SoC which will enable rapid execution/emulation of the resulting design." The project is funded by Intel's Science and Technology Center, DARPA, the National Science Foundation, Amazon Web Services, Meta Platforms Inc.,Apple Inc., Advanced Micro Devices, Nvidia, Qualcomm, and Google. [19] He also helps lead Stanford's Quantum Fundamentals, ARchitectures and Machines initiative (Q-FARM) which aims to harness the expertise and facilities of Stanford University and the SLAC National Accelerator Laboratory to accelerate the development of quantum information science. [20]
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