RESIT SENDAG

 

Professor and Director of Graduate Studies,

Department of Electrical, Computer and Biomedical Engineering

University of Rhode Island

Facitelli Center for Advanced Engineering, Office: 403

2 East Alumni Avenue, Kingston, RI 02881

E-mail : sendag@uri.edu, Phone : (401) 874-9423

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If you have questions about our graduate program, please refer to our AI-powered Graduate Program Chatbot.

 

About: Resit Sendag is a Professor of Computer Engineering at the University of Rhode Island. He specializes in the broad area of computer architecture. His research interests include processor architecture; multicore processors; cache and memory hierarchies; memory scheduling techniques; non-volatile memories, instruction-set architecture (ISA); performance analysis and benchmarking; instruction-level (ILP), thread-level (TLP) and data-level parallelism (DLP); vector processing; hardware accelerator architectures; application-specific hardware design; energy-efficient design and processing; and high-performance computing.

 

Research Assistantships Available. I am looking for highly motivated and hard-working students to work on various challenging projects in computer architecture. Requirements: Already received MSc degree; excellent skills in C++. Send me an email if interested.

 

SELECTED

RECENT PUBLICATIONS

 

· Maximilian Jakob Heer, José Quevedo, Marwan F. Abdelatti, Resit Sendag, Manbir Sodhi, Efficient Implementation of a Genetic Algorithm for the Capacitated Vehicle Routing Problem on a High-Performance FPGA. IEEE 31st Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM’23).

· José Quevedo, Maximilian Jakob Heer, Marwan F. Abdelatti, Resit Sendag, Manbir Sodhi, “Performance Comparison of Steady State GAs and Generational GAs for Capacitated Vehicle Routing Problems,” ACM Conference on Genetic and Evolutionary Computation, GECCO 2023.

· Marwan Abdelatti, Manbir Sodhi and Resit Sendag, “A Multi-GPU Parallel Genetic Algorithm For Large-Scale Vehicle Routing Problems,” IEEE High Performance Extreme Computing Conference, Waltham, Massachusetts, Sep 19-23, 2022.

· Mustafa Cavus, Mohammed Shatnawi, Resit Sendag and Augustus Uht, “Fast Key-Value Lookups with Node Tracker,” ACM Transactions on Architecture and Code Optimization, Volume 18, Issue 3, June 2021, pp 1-26.

· Mustafa Cavus, Mohammed Shatnawi, Resit Sendag and Augustus Uht, “Exploring Prefetching, Pre-Execution and Branch Outcome Streaming for In-Memory Database Lookups. IEEE Computer Architecture Letters, 2020.

· Mustafa Cavus, Resit Sendag and Joshua J Yi, “Informed Prefetching for Indirect Memory Accesses,” ACM Transactions on Architecture and Code Optimization, Volume 17, Issue 1, March 2020, pp 1-29.

· Mustafa Cavus, Resit Sendag, Joshua J. Yi, “Array Tracking Prefetcher for Indirect Accesses,” IEEE International Conference on Computer Design (ICCD), Orlando, FL, USA, Oct 7-10, 2018.

· Babak Falsafi, Bill Dally, Desh Singh, Derek Chiou, Joshua J. Yi, Resit Sendag, “FPGAs versus GPUs in Data Centers,” IEEE Micro 37(1): 60-72 (2017).

· Trevor N. Mudge, Frederic T. Chong, Igor L. Markov, Resit Sendag, Joshua J. Yi, Derek Chiou, “Impact of Future Technologies on Architecture,” IEEE Micro 36(4): 48-56 (2016).

 

PATENTS

· Cache Replacement Method, with Ayse Yilmazer and Augustus K. Uht, US Patent No. 7,721,048.

· Branch Prediction Enhancement Method and Mechanism, US Patent No. 8,312,255.

 

OPEN-SOURCE TOOLS

· PatternFinder - a generalized pattern analysis tool

· z4800 – An Open-Source Multi-Core Platform on FPGA

 

RECENT PROFESSIONAL

ACTIVITIES

 

· Director, URI Computer Architecture Laboratory.

· Director, URI Generative AI Development Group.

· NSF Proposal Review Panelist, 2006, 2007, 2011, 2013, 2016, 2017, 2018, 2022, 2023, 2024.

· Program Committee Member, IEEE International Symposium on High Performance Computer Architecture (HPCA), 2023.

· General Co-Chair, IEEE International Conference on Computer Design (ICCD), 2021.

· General Co-Chair, BenchCouncil International Symposium on Benchmarking, Measuring and Optimizing (Bench), 2021.

· Program Committee Member, IEEE International Symposium on Workload Characterization (IISWC), 2021.

· Program Chair, IEEE International Conference on Computer Design (ICCD), 2020.

· Co-organizer, 5th Workshop on Computer Architecture Research Directions (CARD), Held in conjunction with the 46th International Symposium on Computer Architecture, June 2019, Phoenix, Arizona. Also co-organized CARD 2007, CARD 2009, CARD 2011 and CARD 2015.

· General Chair, 2016 IEEE International Symposium on Workload Characterization (IISWC), Oct 2016, Providence, Rhode Island, USA.

· General Chair, 2015 IEEE International Conference on Networking, Architecture, and Storage (NAS), August 2015, Boston, MA, USA.

· Program Committee Member, High Performance and Embedded Architecture and Compilation (HIPEAC 2019, 2018, 2017, 2016, 2015).

· Program Committee Member, 2018 IEEE International Parallel and Distributed Computing Symposium (IPDPS 2018).

· Publicity Chair, IEEE International Conference on Computer Design (ICCD 2018, 2017).

· Steering Committee Member, IEEE International Symposium on Workload Characterization (IISWC), 2017-current.

· Program Committee Member, IEEE International Conference on Computer Design 2016.

· Program Committee Member, IEEE International Conference on Computer Design 2015.

· ERC Member, ISCA 2022, MICRO 2022, HPCA 2022, ISCA 2021, HPCA 2021, ISCA 2020, MICRO 2020, HPCA 2020, HPCA 2019, ISCA 2017, HPCA 2017, MICRO 2016, ISCA 2016, HPCA 2016, HPCA 2015, ISCA 2015, MICRO 2015.

· Distinguished Review Board Member, ACM Transactions on Architecture and Code Optimization, 2014-current.

· Program Committee Member, 2015 IEEE International Symposium on Workload Characterization (IISWC), Oct. 2015, Atlanta, Georgia.

 

RECENT

TEACHING

·       ELE 208: Introduction to Computing Systems

·       ELE 305: Introduction to Computer Architecture

·       EGR 404: Developing Tools with Generative AI

·       ELE 548: Graduate Computer Architecture

 

STUDENT

ADVISING

 (out of date)

Current Graduate Students (Thesis) Advised

·     Jonathan Pollard

·     Justin Watkins

Generative AI Development Group

·     Justin Watkins, Jack Demarinis, Richard Buckley, Garrett Kemper, Zack Notarianni.

Former Graduated Students (Thesis Advised)

·     Maximilian Heer, graduated with MSc. 2022, Now PhD student at ETH-Zurich.

·     Travis Frink, graduated with MSc. 2022, Now at Taco Comfort Solutions Inc, RI.

·     Matthew Constant, graduated with MSc. 2020, Now at AMD, MA.

·     Mustafa Cavus, graduated with PhD. 2019, Now at Intel, OR.

·     Herman Hoffmann, graduated with MSc. 2017, Now at US Army Reserve Command, NC.

·     Peter Morley, graduated with MSc. 2017. Now at NVIDIA, MA.

·     Celal Ozturk, graduated with PhD., 2013 Now at Intel, OR.

·     Andre Zierfuss, graduated with MSc., 2013. Now at Volkswagen Research Lab, CA.

·     Ronald Duarte, graduated with MSc., 2013 Now at MIT Lincoln Labs, MA.

·     Will Simoneau, graduated with MSc., 2011. Now at Naval Undersea Warfare Center, RI.

·     Ayse Yilmazer, graduated with M.Sc., Now Professor at Istanbul technical University.