Mike Ferdman's Home Page

Mike Ferdman

Assistant Professor, CS, Stony Brook University

I am an Assistant Professor of Computer Science at Stony Brook University. I co-direct the Computer Architecture Stony Brook (COMPAS) Lab. Prior to joining Stony Brook, I completed my Ph.D. at Carnegie Mellon University (CMU) under the supervision of Babak Falsafi. While completing my dissertation, I spent several years working remotely from Ecole Polytechnique Fédérale de Lausanne (EPFL).

My research interests are in the area of computer architecture, with emphasis on the design of server systems. I work on the entire computing stack, from server software and operating systems, to networks and processor microarchitecture. My current research projects include FPGA accelerator integration into server environments (e.g., Intel HARP, Microsoft Catapult, and Amazon F1), FPGA programmability (e.g., virtual memory and high-level synthesis), accelerators for machine learning (e.g., convolutional neural networks), efficient network processing and software-defined networking, speculative performance and energy-enhancing techniques for high-performance processors, and programming models and mechanisms for emerging memory technologies (e.g., HBM and 3D XPoint).

If you are a PhD student at Stony Brook and want to work with me, please send me email to arrange an appointment.

publications

2008
[3] Temporal Instruction Fetch Streaming
Michael Ferdman, Thomas F. Wenisch, Anastasia Ailamaki, Babak Falsafi, Andreas Moshovos, In 41st Annual IEEE/ACM International Symposium on Microarchitecture (MICRO), 2008. [bib] [pdf]
[2] Cache bursts: A new approach for eliminating dead blocks and increasing cache efficiency
Haiming Liu, Michael Ferdman, Jaehyuk Huh, Doug Burger, In 41st Annual IEEE/ACM International Symposium on Microarchitecture (MICRO), 2008. [bib] [pdf]
[1] Temporal Streams in Commercial Server Applications
Thomas F. Wenisch, Michael Ferdman, Anastasia Ailamaki, Babak Falsafi, Andreas Moshovos, In 2008 IEEE International Symposium on Workload Characterization (IISWC), 2008. [bib] [pdf]
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teaching

Courses I have taught or teaching currently:

  • Fall '17 - CSE 506 - Operating Systems (grad)
  • Spring '17 - CSE 502 - Computer Architecture (grad)
  • Spring '17 - CSE 356 - Cloud Computing
  • Fall '15 - CSE 506 - Operating Systems (grad)
  • Fall '15 - CSE 391(356) - Cloud Computing
  • Spring '15 - CSE 506 - Operating Systems (grad)
  • Fall '14 - CSE 602 - Advanced Computer Architecture (grad)
  • Spring '14 - CSE 502 - Computer Architecture (grad)
  • Fall '13 - CSE 506 - Operating Systems (grad)
  • Spring '13 - CSE 502 - Computer Architecture (grad)
  • Fall '12 - CSE 59x(602) - Datacenters (grad)

CV

PDF

Michael Ferdman

Assistant Professor, Computer Science, Stony Brook University
Co-Director, Computer Architecture at Stony Brook (COMPAS) Laboratory

Curriculum Vitae - December 2017

http://compas.cs.stonybrook.edu/~mferdman/
mferdman@cs.stonybrook.edu
+1 (631) 632-8449
Department of Computer Science
343 New Computer Science
Stony Brook, NY 11794-2424

Research Interests

Computer architecture, with particular emphasis on the design of efficient server systems. Most recently, my main focus has been on Machine Learning Accelerators, developing hardware techniques to enable fast and efficient implementations of deep learning, and making FPGA-based accelerators more practical and easier to program. More broadly, my work seeks to understand the fundamental properties and interactions of application software, operating systems, networks, processor microarchitecture, and datacenter dynamics, to enable software and hardware co-design of high-performance, power-efficient, and compact servers.

Education

  • Carnegie Mellon University Pittsburgh, PA
  • Ph.D. in Electrical and Computer Engineering June 2012
  • M.S. in Electrical and Computer Engineering December 2002
  • B.S. in Electrical and Computer Engineering December 2002
  • B.S. in Computer Science May 2002

Honors and Awards

  • David R. Smith Young Scholar in Computer Science Award (2016-2020)
  • NSF CAREER Award (2015)
  • Graduate Teaching Award (2014)
  • Best Paper Award at the 11th International Conference on Virtual Execution Environment (VEE) for "A Comprehensive Implementation and Evaluation of Direct Interrupt Delivery."
  • IEEE Micro Top Picks from Computer Architecture Conferences of 2013, "A Case for Specialized Processors for Scale-Out Workloads."
  • Best Paper Award at the 17th International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) for "Clearing the Clouds: A Study of Emerging Scale-out Workloads on Modern Hardware."
  • Best Paper Finalist at the 17th International Symposium on High-Performance Computer Architecture (HPCA) for "Cuckoo Directory: A Scalable Directory for Many-Core Systems."
  • Paper Award from the European Network of Excellence on High Performance and Embedded Architecture and Compilation (HiPEAC) for "Cuckoo Directory: A Scalable Directory for Many-Core Systems."
  • IEEE Micro Top Picks from Computer Architecture Conferences of 2009, "R-NUCA: Data Placement in Distributed Shared Caches."
  • IEEE Micro Top Picks from Computer Architecture Conferences of 2009, "Practical Off-chip Meta-data for Temporal Memory Streaming."
  • 2005 DARPA Grand Challenge driverless desert race, 2nd and 3d place autonomous vehicles for RedTeam.

Publications

(jump to publications page) (show publication list here)

Patents

  • System and Method for Fused Computation of Convolutional Neural Network Layers.
    Manoj Alwani, Michael Ferdman, and Peter Milder. Filed October 11, 2016.

Teaching

  • Stony Brook University Stony Brook, NY
  • CSE 506 - Graduate Operating Systems Fall 2017
  • CSE 502 - Graduate Computer Architecture Spring 2017
  • CSE 356 - Cloud Computing Spring 2017
  • CSE 506 - Graduate Operating Systems Fall 2015
  • CSE 356(391) - Cloud Computing Fall 2015
  • CSE 506 - Graduate Operating Systems Spring 2015
  • CSE 602 - Graduate Advanced Computer Architecture Fall 2014
  • CSE 502 - Graduate Computer Architecture Spring 2014
  • CSE 506 - Graduate Operating Systems Fall 2013
  • CSE 502 - Graduate Computer Architecture Spring 2013
  • CSE 602 - Graduate Advanced Computer Architecture Fall 2012
  • Ecole Polytechnique Fédérale de Lausanne Lausanne, Switzerland
  • TA - Advanced Topics on Memory Systems (graduate) Spring 2009 (Babak Falsafi)
  • TA - Multiprocessor Architecture (graduate) Fall 2008 (Babak Falsafi)
  • Carnegie Mellon University Pittsburgh, PA
  • TA - Multiprocessor Architecture (graduate) Spring 2006 (Babak Falsafi)
  • TA - Advanced Techniques in Microprocessors (PhD) Fall 2005 (Babak Falsafi)
  • TA - Operating Systems (undergraduate) Fall 2001 (Gregory Kesden)
  • TA - Embedded Systems (undergraduate) Fall 2001 (Raj Rajkumar)

Industry Experience

  • T elinta, Inc. Springfield, NJ
  • Chief Technology Officer 2002-
  • Cadence Design Systems Pittsburgh, PA
  • Software Engineer April 2004-August 2007
  • Neolinear, Inc. (startup acquired by Cadence) Pittsburgh, PA
  • Software Engineer March 2003-April 2004
  • Automatika, Inc. Pittsburgh, PA
  • Independent Contractor September 2002-January 2003
  • National Robotics Engineering Consortium Pittsburgh, PA
  • Circuit Designer and Software Engineer February 2001-May 2002

Professional Service

  • Organizing committees: ISCA'17 (finance chair), IISWC'17 (travel grant chair), HPCA'17 (workshops & tutorials chair), ISPASS'17 (workshops & tutorials chair), ISPASS'16 (publication chair), ACM SRC at CGO'15 (local organizer), ISPASS'15 (publication chair), MICRO'14 (publication chair), ISPASS'14 (web chair)
  • Program committees: ISCA'18, DAC'18, GLSVLSI'18, HPCA'18, MICRO'17, ISCA'17, HPCA'17, CRC'17, ISCA'16, IISWC'16, ISPASS'16, MICRO'15, IISWC'15, ISCA'15, CGO'15, MICRO'14, ICS'14, ICPP'14, HiPEAC'14, ICCD'13, WIVOSCA'13, DATE'13, CCGrid'13, ISPASS'13, IPDPS'13
  • NSF invited workshops: Workshop on Sustainable Data Centers '15, XPS Workshop on Exploiting Parallelism and Scalability '15
  • External reviewer: ACM TACO'17, CAL'17, ACM TOS'16, MICRO'16, ACM TACO'16, HPCA'16, ACM TACO'15, CAL'15, HPCA'15, ASPLOS'15, CF'14, ISCA'14, TC'14, HPCA'14, PPoPP'14, CAL'13, DAC'13, HPCA'13, JCST'13, MICRO'12, IISWC'12, CAL'12, HPCA'12, IISWC'11, MICPRO/DSD'11, ICS'11, ISCA'11, HPCA'11, HiPEAC'10, ISCA'10, HPCA'10, JPDC'09
  • NSF service: 2016 (panelist, reviewer), 2014 (panelist)
  • Invited Lectures and Talks: Cloud Computing course at HiPEAC ACACES'17, Keynote at RAPIDO'13
  • PhD committees: Tan Li (Harness Multicore Parallelism for High Performance Data Replication), Fatima Zarinni (Understanding and Improving Performance in Next-Generation WiFi and Cellular Networks), Mingwei Zhang (Static Binary Instrumentation with Applications to COTS Software Security), Niranjan Hasabnis (Infrastructure for Architecture-independent Binary Analysis and Transformation), Vasily Tarasov (Multi-dimensional Analysis of I/O Workloads for Modern Storage Systems), Zhichao Li (GreenDM: A Versatile Tiering Hybrid Drive for the Trade-Off Evaluation of Performance, Energy, and Endurance), Cheng-Chun (William) Tu (Memory-based Rack-area Network)
  • MS committees: Bharath Kumar Reddy Vangoor (To FUSE or not to FUSE?), Kavita Agarwal (A Study of Virtualization Overheads), Arun Olappamanna Vasudevan (Finding the right balance - Security vs Performance with Network Storage Systems)
  • Department Service: CS Operations Committee (S'17, F'16, S'16), Graduate Committee (S'17, F'16, S'16), Undergraduate Committee (S'16), Open House Chair (S'17, S'16, S'15), Graduate Admission Committee (S'17, F'16, S'16, F'15, S'15, S'14, F'14, F'13, S'13, F'12), Faculty Recruitment Committee (S'17, S'14, F'14), Department Orientation Organizer (F'16)
  • Co-developer of CloudSuite, a benchmark suite for scale-out workloads.
  • Co-developer of FLEXUS, a scalable, full-system, cycle-accurate multi-processor and multi-core simulation framework between 2005 and 2012.
  • SIMFLEX and ProtoFlex: Fast, Accurate, and Flexible Simulation of Computer Systems Tutorial at
  • 2010 IEEE International Symposium on Workload Characterization (IISWC). Atlanta, GA, December 2010 with Eric Chung, Pejman Lotfi-Kamran, and Michael Papamichael.
  • 42st Annual IEEE/ACM International Symposium on Microarchitecture (MICRO). New York, NY, December 2009 with Eric Chung and Michael Papamichael.
  • 17th International Conference on Parallel Architectures and Compilation Techniques (PACT), Toronto, Canada, October 2008 with Eric Chung and Nikos Hardavellas.
  • Organizer of the Fall 2009 weekly seminar of the Systems Labs at Ecole Polytechnique Fédérale de Lausanne.
  • Organizer of the Fall 2007 weekly seminar of the Computer Architecture Lab at Carnegie Mellon (CALCM).
  • Member, IEEE Computer Society, ACM SIGARCH, ACM SIGMICRO, ACM SIGOPS, HiPEAC Associate.

Funding (Total: $2.4M grants, $150K gifts, $46K equipment)

  • National Science Foundation - SPX: Harnessing the Power of High-Bandwidth Memory via Provably Efficient Parallel Algorithms
    PI, $750,000 ($500,000 SBU, $250,000 WUSTL), 9/15/2017 - 8/14/2021
  • Xilinx Corporation - FPGA Hardware for research
    Donation, equipment ($7,000), 7/28/2017
  • Samsung - SSD Hardware for research
    Donation, equipment ($2,000), 7/6/2017
  • National Science Foundation - Domestic student travel grant funding for IISWC
    PI, $15,000, 6/01/2017 - 12/31/2017
  • National Science Foundation - EAGER: Measuring the Stability of Web Links
    Co-PI, $89,200, 4/15/2017 - 10/15/2017
  • National Science Foundation - Research Experiences for Undergraduates: Secure and Efficient Cloud Infrastructure and Accessibility Services
    PI, $21,900, 8/10/2016 - 8/9/2017
  • National Science Foundation - EAGER: Preliminary Study to Demonstrate Feasibility and Advantages of Massively Parallel Server Processors
    Co-PI, $146,000, 10/1/2016 - 9/30/2017
  • Oracle Labs - Exploring Custom Graph Algorithms with PGX and Green-Marl
    Gift, $55,000, 8/17/2016
  • Google - Taming the Killer Microsecond
    Gift, $58,500, 9/2/2016
  • National Science Foundation - XPS: FPGA Cloud Platform for Deep Learning, Applications in Computer Vision
    PI, $875,000 ($574,000 SBU, $301,000 UNC), 9/1/2015 - 8/31/2019
  • Intel Corporation - Hardware for research
    Donation, equipment ($21,600), 8/6/2015
  • National Science Foundation - CAREER: Leveraging temporal streams for micro-architectural innovation in data center servers
    PI, $500,000, 2/15/2015 - 1/31/2020
  • National Science Foundation - EAGER: Preliminary Study to Demonstrate the Performance and Power Advantages of FPGAs for Deep Learning in Computer Vision
    PI, $95,000, 8/1/2014 - 7/31/2016
  • Altera Corporation - FPGA Hardware for research
    Donation, equipment ($16,000), 10/22/2014
  • Cavium - Support of research activities
    Gift, $34,400 + equipment, 7/17/2014
  • National Science Foundation - CRI: Secure and Efficient Cloud Infrastructure and Accessibility Services
    PI, $200,000, 9/1/2014 - 8/31/2017
  • Semiconductor Research Corporation - Flexible Hardware Acceleration of the Network Stack for Performance and Energy Efficiency
    PI, $300,000, 1/1/2014 - 1/31/2017

Advisees

PhD (7 students)
  • Varun Agrawal, 2013-present
  • Shenghsun Cho, 2014-present
  • Yongming Shen, 2014-present
  • Yuxuan Shui, 2014-2015 (MS Advanced Project), 2016-present
  • Mina Abbasi Dinani, 2016-present
  • Sergey Madaminov, 2016-present
  • Umit Akgun, 2017-present
MS Thesis (2 students)
  • Tapti Palit, 2014-2015, Benchmarking Network-Intensive Applications
  • Manoj Alwani, 2015-2016, Fused Convolutional Neural Network Accelerators
MS Advanced Project (47 strudents)
  • Aakshintala Amogh, Aavuty Rajesh, Abhiroop Dabral, Abhishek Chauhan, Aditi Singh, Akshay Kale, Arnabjyoti Kalita, Balaji Srinivasan, Basavaraj Kaladagi, Bhavya Agarwal, Biswaranjan Panda, Chaitanya Chakka Krishna, Chidambaram Ramanathan, Devashish Thakur, Dhruva Kumar Devineni, Gangabarani Balakrishnan, Jerrin Shaji George, Jihyu Yang, Karan Pugla, Mandar Naik, Neeraj Dixit, Palit Tapti, Parag Gupta, Parikshit Bhattacharjee, Paul Mathew, Rahul Gadi, Rajendra Kumar Raghupatruni, Ravi Prakash Pandey, Ravikiran Patil, Rohit Chandramohanan, Romeyo Dsouza, Sahil Parmar, Saptarshi Sen, Scott Harvey, Shantanu Potdar, Shreyas Prabhu Binnamangala, Shyam Sundar Chandrasekaran, Srinath Battula Yagna Reddy, Subin Mathew, Sumeeth Kyathanahalli, Sunad S Bhandary, Tamilmani Manoharan, Varsha Venkatesh, Vinay Krishnamurthy, Vinay Shetty, Vishal Nayak, Yigong Wang
BS Honors Project (1 student)
  • Mehrab Hoque
BS Research (4 students)
  • Edgar Samudio, Eniola Abdul Mrunal Patel, Roman Scher

personal

Travel

These days, it seems like everyone's favorite hobby is to travel. Below is a map which shows the countries I visited.

 

Office

New Computer Science building, office 343

E-mail

mferdman@cs.stonybrook.edu

Mail

Department of Computer Science
343 New Computer Science
Stony Brook University
Stony Brook, NY 11794-2424

Phone

Office: (631) 632-8449
Fax: (631) 632-8334

If you need to speak with me, please feel free to drop by my office at any time. However, to ensure that I will be there and not busy, it's always best to send an email ahead of your visit.

If you prefer to explicitly schedule an appointment, please send me email. You can check my general availability by consulting my calendar.