Michael Taylor

Michael Taylor Email and Phone Number

CSE and ECE Professor at University of Washington& Director of the Bespoke Silicon Group @
Michael Taylor's Location
Seattle, Washington, United States, United States
Michael Taylor's Contact Details
About Michael Taylor

Specialties: Computer Architecture, Machine Learning, Deep Learning, Large Language Models, RISC-V, VLSI, ASICs, ASIC Clouds, 3D IC, Accelerators, Dark Silicon, Open Source Hardware, 28 nm, 22nm, 16nm, 12nm, 5nm, FinFETs, Utilization Wall, Bitcoin, Bitcoin ASICs, Manycore, Multi-core, Compilers, Systems, Computer Vision, Research, Professor, PhD, Expert Witness, Electrical Engineering, Computer Science, Patents, Litigation, Software Radio, Processor Design, Tiled Processors, Computer Architecture, Coprocessors, Conservation Cores, Parallelization, CAD, Synopsys, IC Compiler, Chiplets

Michael Taylor's Current Company Details
University of Washington - Paul G. Allen School of Computer Science & Engineering

University Of Washington - Paul G. Allen School Of Computer Science & Engineering

CSE and ECE Professor at University of Washington& Director of the Bespoke Silicon Group
Michael Taylor Work Experience Details
  • University Of Washington - Paul G. Allen School Of Computer Science & Engineering
    Professor
    University Of Washington - Paul G. Allen School Of Computer Science & Engineering Sep 2017 - Present
    I lead a research group that studies accelerator design, multi-core processors, and specialized co-processors and the design of tools that make them easier to program and design. My research style focuses on the construction of real prototypes, in FinFET nodes.I direct the Bespoke Silicon Group (http://bsg.ai), which authored some of the earliest research on the Dark Silicon problem, including the first research paper to have the phrase "dark silicon" in the title. I also authored the first research paper on bitcoin mining chips. In 2002, my team and I designed the first scalable general-purpose multicore processor, MIT Raw, which had 16 general purpose cores on a tiled on-chip network, an approach that has since been adopted by Intel in the Skylake SP series. More recently we developed an open source 2048-core RISC-V processor.My current projects include:- Chiplet Cloud, a way of exponentially reducing the cost of serving Large Language Models in the data center- HammerBlade manycore, a next generation parallel architecture that is more flexible and programmable than a GPU. We have several prototype tapeouts in 12nm FinFET technology, including a 99 mm^2 chip that breaks all world records for RISC-V silicon performance. Funded by DARPA for > $13M.- BlackParrot, an open source, SystemVerilog based RISC-V Linux capable multicore..- ASIC Clouds, a method of scaling out accelerators into the datacenter. Our work predicted the Google TPU before it was announced, and also predicted the deployment of video transcoding ASIC clouds such as the Google VPU.- BaseJump (http://bjump.org), open source hardware infrastructure for accelerating the hardware design process, as well as prototyping infrastructure.- Cortex Suite and the San Diego Vision Benchmark Suite, benchmark suites for computer vision and machine learning. I have an active consulting practice, focused on high performance digital system design.
  • Bespoke Silicon Group (Http://Bsg.Ai)
    Director
    Bespoke Silicon Group (Http://Bsg.Ai) Jan 2007 - Present
  • Google
    Visiting Research Scientist
    Google Jan 2017 - Sep 2017
    Mountain View, Ca, Us
    Worked in Google's video transcoding accelerator team.
  • University Of California At San Diego
    Associate Professor
    University Of California At San Diego Feb 2006 - Sep 2017
    La Jolla, Ca, Us
    I directed the UCSD Center for Dark Silicon (http://darksilicon.org), which authored some of the earliest research on the Dark Silicon problem, including the first research paper to have the phrase "dark silicon" in the title. I also authored the first research paper on bitcoin mining chips. In 2002, my team and I designed the first scalable general-purpose multicore processor, MIT Raw, which had 16 general purpose cores on a tiled on-chip network.I led a research group that studies the design of multi-core processors, accelerators, and specialized co-processors and the design of tools that make them easier to program and design. My research style focuses on the construction of real prototypes, for instance, the 16nm Celerity RISC-V chip, which had 511 RISC-V cores and broke the world record for RISC-V performance by 100X.My projects included:- GreenDroid, a multicore processor design for cell phones that leverages automatically generated energy-saving coprocessors called Conservation Cores to fight Dark Silicon (greendroid.ucsd.edu)- Kremlin, a kind of "gprof for parallelization" i.e. a profiler, that given a serial program and representative inputs, tells you which regions to parallelize (kremlin.ucsd.edu)- The San Diego Vision Benchmark Suite, a benchmark suite that attempts to characterize the exciting area of computer vision. (parallel.ucsd.edu/vision)- The first academic work analyzing Bitcoin mining ASIC systems- ASIC Clouds, a method of scaling out accelerators into the datacenter
  • Mit
    Research Assistant
    Mit Jan 1997 - Jan 2006
    Cambridge, Ma, Us
    MIT Raw Project
  • Connectix Corporation
    Software Engineer
    Connectix Corporation 1996 - 1997
    Co-author of Virtual PC 1.0.
  • Apple Computer
    Software Engineering Intern
    Apple Computer 1995 - 1996
    Cupertino, California, Us
    Microkernel Group.

Michael Taylor Skills

Computer Architecture Parallel Computing Software Engineering Computer Science High Performance Computing C Asic Vlsi Compilers Processors Ic Expert Witness Binary Translation Reverse Engineering

Michael Taylor Education Details

  • Massachusetts Institute Of Technology
    Massachusetts Institute Of Technology
    Electrical Engineering And Computer Science
  • Afi Flight Training
    Afi Flight Training
    Klgb
  • Massachusetts Institute Of Technology
    Massachusetts Institute Of Technology
    Electrical Engineering And Computer Science
  • Dartmouth College
    Dartmouth College
    Computer Science
  • The Hotchkiss School
    The Hotchkiss School

Frequently Asked Questions about Michael Taylor

What company does Michael Taylor work for?

Michael Taylor works for University Of Washington - Paul G. Allen School Of Computer Science & Engineering

What is Michael Taylor's role at the current company?

Michael Taylor's current role is CSE and ECE Professor at University of Washington& Director of the Bespoke Silicon Group.

What is Michael Taylor's email address?

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What schools did Michael Taylor attend?

Michael Taylor attended Massachusetts Institute Of Technology, Afi Flight Training, Massachusetts Institute Of Technology, Dartmouth College, The Hotchkiss School.

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Michael Taylor has interest in Exercise, Home Improvement, Reading, Gourmet Cooking, Sports, Golf, Food, Home Decoration, Health, Cooking.

What skills is Michael Taylor known for?

Michael Taylor has skills like Computer Architecture, Parallel Computing, Software Engineering, Computer Science, High Performance Computing, C, Asic, Vlsi, Compilers, Processors, Ic, Expert Witness.

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