Mike Ferdman
Associate Professor, CS, Stony Brook University
I am an Associate Professor of Computer Science at Stony Brook University. I 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., transformers and 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
| 2024 | |
| [63] | Server Architecture From Enterprise to Post-Moore , In IEEE Micro, volume 44, 2024. [bib] [pdf] |
| [62] | NUCAlloc: Fine-Grained Block Placement in Hashed Last-Level NUCA Caches , In International Conference on Supercomputing (ICS'24), 2024. [bib] [pdf] |
| [61] | A Case for Hardware Memoization in Server CPUs , In IEEE Computer Architecture Letters, volume 23, 2024. [bib] [pdf] |
| 2023 | |
| [60] | The More Things Change, the More They Stay the Same: Integrity of Modern JavaScript , In Proceedings of the ACM Web Conference (WWW), Association for Computing Machinery, 2023. [bib] [pdf] |
| [59] | TailCheck: A Lightweight Heap Overflow Detection Mechanism with Page Protection and Tagged Pointers , In 2023 USENIX Symposium on Operating Systems Design and Implementation (OSDI), USENIX Association, 2023. [bib] [pdf] |
| [58] | Waverunner: An Elegant Approach to Hardware Acceleration of State Machine Replication , In 20th USENIX Symposium on Networked Systems Design and Implementation (NSDI), USENIX Association, 2023. [bib] [pdf] |
| 2022 | |
| [57] | Domains Do Change Their Spots: Quantifying Potential Abuse of Residual Trust , In 2022 IEEE Symposium on Security and Privacy (Oakland), IEEE Computer Society, volume , 2022. [bib] [pdf] |
| [56] | AppBastion: Protection from Untrusted Apps and OSes on ARM , In Computer Security - ESORICS 2022 - 27th European Symposium on Research in Computer Security, Copenhagen, Denmark, September 26-30, 2022. [bib] [pdf] |
| [55] | An Incrementally Updatable and Scalable System for Large-Scale Sequence Search using the Bentley-Saxe Transformation , In Bioinformatics, 2022. [bib] [pdf] |
| 2021 | |
| [54] | Practical Model Checking on FPGAs , In ACM Transactions on Reconfigurable Technology and Systems (TRETS), Association for Computing Machinery, volume 14, 2021. [bib] [pdf] |
| [53] | Leveraging FPGA Layout to Minimize Jitter in Statistical Time-to-Digital Converters , In 29th IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM, withdrawn due to IP dispute), 2021. [bib] |
| [52] | On the Distribution, Sparsity, and Inference-time Quantization of Attention Values in Transformers , In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, Association for Computational Linguistics, 2021. [bib] [pdf] |
| 2020 | |
| [51] | Swarm Model Checking on the GPU , In International Journal on Software Tools for Technology Transfer (Thomas Given-Wilson, Axel Legay, eds.), 2020. [bib] [pdf] |
| [50] | A Scheduling Approach to Incremental Maintenance of Datalog Programs , In 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020. [bib] [pdf] |
| [49] | An Efficient, Scalable, and Exact Representation of High-Dimensional Color Information Enabled Using de Bruijn Graph Search , In Journal of Computational Biology, volume 27, 2020. [bib] [doi] |
| [48] | Flick: Fast and Lightweight ISA-Crossing Call for Heterogeneous-ISA Environments , In 47th International Symposium on Computer Architecture (ISCA), 2020. [bib] [pdf] |
| [47] | FPGA-Accelerated Samplesort For Large Data Sets , In 2020 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA), 2020. [bib] [pdf] |
| 2019 | |
| [46] | x86-64 Instruction Usage Among C/C++ Applications , In 12th ACM International Conference on Systems and Storage (SYSTOR), 2019. [bib] [pdf] |
| [45] | Swarm Model Checking on the GPU , In 26th International SPIN Symposium on Model Checking of Software, Springer International Publishing, 2019. [bib] [pdf] |
| [44] | Sorting Large Data Sets with FPGA-Accelerated Samplesort , 27th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM poster), 2019. [bib] [pdf] |
| [43] | An Efficient, Scalable and Exact Representation of High-Dimensional Color Information Enabled via de Bruijn Graph Search , In 22nd Annual International Conference on Research in Computational Molecular Biology (RECOMB), 2019. [bib] [pdf] |
| [42] | Massively Parallel Server Processors , In Computer Architecture Letters (CAL), 2019. [bib] [pdf] |
| [41] | Argus: an End-to-End Framework for Accelerating CNNs on FPGAs , In IEEE Micro, volume , 2019. [bib] [pdf] |
| [40] | Runtime-Programmable Pipelines for Model Checkers on FPGAs , In 29th International Conference on Field Programmable Logic and Applications (FPL), 2019. (nominated for the Best Paper award) [bib] [pdf] |
| 2018 | |
| [39] | Panning for gold.com: Understanding the dynamics of domain dropcatching , In Proceedings of the ACM Web Conference (WWW), 2018. [bib] [pdf] |
| [38] | Mantis: A Fast, Small, and Exact Large-Scale Sequence Search Index , In 21st Annual International Conference on Research in Computational Molecular Biology (RECOMB), 2018. [bib] [pdf] |
| [37] | Taming the Killer Microsecond , In 51st Annual IEEE/ACM International Symposium on Microarchitecture (MICRO), 2018. [bib] [pdf] |
| [36] | Impact of Device Parameters on Internet-based Mobile Applications , In 2018 Conference on Internet Measurement Conference (IMC), 2018. [bib] [pdf] |
| [35] | Medusa: A Scalable Memory Interconnect for Many-Port DNN Accelerators and Wide DRAM Controller Interfaces , In 28th International Conference on Field Programmable Logic and Applications (FPL), 2018. [bib] [pdf] |
| [34] | FPGASwarm: High Throughput Model Checking Using FPGAs , In 28th International Conference on Field Programmable Logic and Applications (FPL), 2018. [bib] [pdf] |
| [33] | A Full-System VM-HDL Co-Simulation Framework for Servers with PCIe-Connected FPGAs , In 2018 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA), 2018. [bib] [pdf] |
| 2017 | |
| [32] | A VM-HDL Co-Simulation Framework for Systems with PCIe-Connected FPGAs , Technical report #839, Stony Brook CEAS, 2017. [bib] [pdf] |
| [31] | Maximizing CNN Accelerator Efficiency Through Resource Partitioning , In 44th International Symposium on Computer Architecture (ISCA), 2017. [bib] [pdf] |
| [30] | Escher: A CNN Accelerator with Flexible Buffering to Minimize Off-Chip Transfer , In 25th IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM), 2017. [bib] [pdf] |
| [29] | Mantis: A Fast, Small, and Exact Large-Scale Sequence Search Index , Cold Spring Harbor Laboratory, 2017. [bib] [pdf] |
| 2016 | |
| [28] | Fused-Layer CNN Accelerators , In 49th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO), 2016. [bib] [pdf] |
| [27] | Demystifying Cloud Benchmarking , In 2016 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), 2016. [bib] [pdf] |
| [26] | Overcoming Resource Underutilization in Spatial CNN Accelerators , In 26th International Conference on Field Programmable Logic and Applications (FPL), 2016. [bib] [pdf] |
| 2015 | |
| [25] | A Comprehensive Implementation and Evaluation of Direct Interrupt Delivery , In Processors of the 11th ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environment (VEE), 2015. (recognized as Best Paper by the program committee) [bib] [pdf] |
| [24] | Architectural Support for Dynamic Linking , In 20th International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2015. [bib] [pdf] |
| 2014 | |
| [23] | DIMMer: A case for turning off DIMMs in clouds , In ACM Symposium on Cloud Computing (SOCC), 2014. [bib] [pdf] |
| [22] | A Case for Specialized Processors for Scale-Out Workloads , In IEEE Micro's Top Picks, 2014. (original at ASPLOS'12) [bib] [pdf] |
| [21] | Temporal Stream Branch Predictor , In JWAC-4: Championship Branch Prediction workshop (in conjunction with ISCA'14), 2014. [bib] [pdf] |
| 2013 | |
| [20] | JIT Kernels: An Idea Whose Time Has (Just) Come , Poster presented at the 24th ACM Symposium on Operating Systems Principles (SOSP poster), 2013. [bib] [pdf] |
| 2012 | |
| [19] | Quantifying the Mismatch between Emerging Scale-Out Applications and Modern Processors , In ACM Transactions on Computer Systems (TOCS), ACM, volume 30, 2012. [bib] [pdf] |
| [18] | Scale-Out Processors , In 39th International Symposium on Computer Architecture (ISCA), 2012. [bib] [pdf] |
| [17] | Clearing the Clouds: A Study of Emerging Scale-out Workloads on Modern Hardware , In 17th International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2012. (recognized as Best Paper by the program committee, recognized as Top Pick of 2013 by IEEE Micro, and received the ACM SIGARCH/SIGPLAN/SIGOPS ASPLOS 2023 Influential Paper Award (test-of-time)) [bib] [pdf] |
| 2011 | |
| [16] | Proactive Instruction Fetch , In 44th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO), 2011. [bib] [pdf] |
| [15] | Toward Dark Silicon in Servers , In IEEE Micro, volume 31, 2011. [bib] [pdf] |
| [14] | Cuckoo Directory: A Scalable Directory for Many-Core Systems , In 17th IEEE International Symposium on High Performance Computer Architecture (HPCA), 2011. (selected by the program committee for Best Student Papers session) [bib] [pdf] |
| [13] | Spatial Memory Streaming , In Journal of Instruction-Level Parallelism (JILP), volume 13, 2011. [bib] [pdf] |
| 2010 | |
| [12] | Near-Optimal Cache Block Placement with Reactive Nonuniform Cache Architectures , In IEEE Micro's Top Picks, volume 30, 2010. (original at ISCA'09) [bib] [pdf] |
| [11] | Making Address-Correlated Prefetching Practical , In IEEE Micro's Top Picks, volume 30, 2010. (original at HPCA'09) [bib] [pdf] |
| [10] | TurboTag: lookup filtering to reduce coherence directory power , In International Symposium on Low Power Electronics and Design (ISLPED), 2010. [bib] [pdf] |
| 2009 | |
| [9] | Reactive NUCA: near-optimal block placement and replication in distributed caches , In 36th International Symposium on Computer Architecture (ISCA), 2009. (recognized as Top Pick of 2009 by IEEE Micro) [bib] [pdf] |
| [8] | Practical Off-Chip Meta-Data for Temporal Memory Streaming , In 15th International Symposium on High Performance Computer Architecture (HPCA), 2009. (recognized as Top Pick of 2009 by IEEE Micro) [bib] [pdf] |
| 2008 | |
| [7] | Temporal Instruction Fetch Streaming , In 41st Annual IEEE/ACM International Symposium on Microarchitecture (MICRO), 2008. [bib] [pdf] |
| [6] | Cache bursts: A new approach for eliminating dead blocks and increasing cache efficiency , In 41st Annual IEEE/ACM International Symposium on Microarchitecture (MICRO), 2008. [bib] [pdf] |
| [5] | Temporal Streams in Commercial Server Applications , In 2008 IEEE International Symposium on Workload Characterization (IISWC), 2008. [bib] [pdf] |
| 2007 | |
| [4] | Last-Touch Correlated Data Streaming , In 2007 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), 2007. [bib] [pdf] |
| [3] | Mitigating multi-bit soft errors in L1 caches using last-store prediction , In Workshop on Architectural Support for Gigascale Integration (ASGI), 2007. [bib] [pdf] |
| 2006 | |
| [2] | SimFlex: Statistical Sampling of Computer System Simulation , In IEEE Micro, volume 26, 2006. [bib] [pdf] |
| 2003 | |
| [1] | Analysis of IC Manufacturing Process Deformations: An automated approach using SRAM bit fail maps , In 29th International Symposium for Testing and Failure Analysis, 2003. [bib] [pdf] |
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teaching
Courses I have taught or teaching currently:
- Spring '24 - CSE 356 - Cloud Computing
- Spring '24 - CSE 502 - Computer Architecture (grad)
- Fall '22 - CSE 356 - Cloud Computing
- Spring '22 - CSE 502 - Computer Architecture (grad)
- Spring '22 - CSE 356 - Cloud Computing
- Spring '20 - CSE 502 - Computer Architecture (grad)
- Fall '19 - CSE 356 - Cloud Computing
- Spring '19 - CSE 356 - Cloud Computing
- Spring '19 - CSE 502 - Computer Architecture (grad)
- Spring '18 - CSE 356 - Cloud Computing
- 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
Michael Ferdman
Associate Professor, Computer Science, Stony Brook University
Director, Computer Architecture at Stony Brook (COMPAS) Laboratory
Curriculum Vitae - December 2024
http://compas.cs.stonybrook.edu/~mferdman/
mferdman@cs.stonybrook.edu
+1 (631) 632-8449
mferdman@cs.stonybrook.edu
+1 (631) 632-8449
Department of Computer Science
343 New Computer Science
Stony Brook, NY 11794-2424
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
- ACM SIGARCH/SIGPLAN/SIGOPS ASPLOS 2023 Influential Paper (test-of-time) Award
- 2020 Young Academic Inventor's Award from the National Academy of Inventors SBU Chapter
- Undergraduate Teaching Award (2019)
- David R. Smith Young Scholar in Computer Science Award (2016)
- NSF CAREER Award (2015)
- Graduate Teaching Award (2014)
- Best Paper Award at the 11th International Conference on Virtual Execution Environment (VEE)
- IEEE Micro Top Picks from Computer Architecture Conferences of 2013
- Best Paper Award at the 17th International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS)
- Best Paper Finalist at the 17th International Symposium on High-Performance Computer Architecture (HPCA)
- Paper Award from the European Network of Excellence on High Performance and Embedded Architecture and Compilation (HiPEAC)
- Two papesrs in IEEE Micro Top Picks from Computer Architecture Conferences of 2009
- 2005 DARPA Grand Challenge driverless desert race, 2nd and 3d place autonomous vehicles
Publications
Patents
- US 10,726,330 B2: System, Method, and Accelerator to Process Convolutional Neural Network Layers
Michael Ferdman, Peter Milder, Manoj Alwani.
Academic Employment
- Microsoft Corporation Redmond, WA
- Visiting Researcher (academic sabbatical) June 2020-June 2021
- Stony Brook University Stony Brook, NY
- Associate Professor September 2018-present
- Assistant Professor August 2012-August 2018
- Ecole Polytechnique Fédérale de Lausanne Lausanne, Switzerland
- Research Assistant July 2008-June 2012
- Carnegie Mellon University Pittsburgh, PA
- Research Assistant August 2004-June 2012
Teaching
- Stony Brook University Stony Brook, NY
- CSE 502 - Graduate Computer Architecture Spring 2024
- CSE 356 - Cloud Computing Spring 2024
- CSE 356 - Cloud Computing Fall 2022
- CSE 502 - Graduate Computer Architecture Spring 2022
- CSE 356 - Cloud Computing Spring 2022
- CSE 502 - Graduate Computer Architecture Spring 2020
- CSE 356 - Cloud Computing Fall 2019
- CSE 356 - Cloud Computing Spring 2019
- CSE 502 - Graduate Computer Architecture Spring 2019
- CSE 356 - Cloud Computing Spring 2018
- 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 Employment
- Microsoft Corporation Redmond, WA
- Visiting Researcher 2020-2021
- T elinta, Inc. Springfield, NJ
- Chief Technology Officer 2002-present
- 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: ASPLOS Steering Committtee Chair (2022-2024), ASPLOS'22 (co-general chair), ISPASS'21 (general chair), ISPASS'20 (program committee chair), HPCA'20 (registration chair), DPC'19 (program committee chair), 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)
- Steering Committees: Architectural Support for Programming Languages and Operating Systems (ASPLOS), International Symposium on Performance Analysis of Systems and Software (ISPASS)
- Program committees: IEEE MICRO's Top Picks'25, ASPLOS'25, MICRO'24, IISWC'24, ICS'24, ASPLOS'24, MICRO'23, HotInfra'23, SIGMETRICS'23, SIGMETRICS'22, MICRO'22, ISCA'21, IEEE MICRO's Top Picks'21, MICRO'20, IPC'20, USENIX ATC'20, IISWC'19, ISCA'19, HPCA'19, MICRO'18, ICCD'18, IISWC'18, 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
- University Service: College of Engineering and Applied Sciences Dean's Advisory Council, Graduate Council Representative for CS (F'21-S'24), College of Engineering and Applied Sciences Executive Committee (S'21), CS Executive Committee (S'19-), 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'20, F'19, S'19, F'18, S'18, F'17, 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)
- NSF invited workshops: Workshop on Sustainable Data Centers '15, XPS Workshop on Exploiting Parallelism and Scalability '15
- External reviewer: HPCA'23, MICRO'21, ASPLOS'21, SIGMETRICS'21, ISCA'20, CAL'19, IEEE Micro'19, TECS'19, MICRO'19, CAL'19, TACO'19', CAL'18, TOCS'18, TACO'18, CAL'17, IEEE Micro'17, ACM TACO'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: 2025 (panelist), 2023 (panelist), 2022 (panelist x2), 2021 (panelist), 2020 (panelist), 2019 (panelist), 2016 (panelist, reviewer), 2014 (panelist)
- Invited Lectures and Talks: Cloud Computing course at HiPEAC ACACES'17, Keynote at RAPIDO'13
- PhD committees: Ivan Miketic (Hardware Security Techniques against Information Leakage and Counterfeiting in Integrated Circuits), Prashant Pandey (Fast and Space-Efficient Maps for Large Data Sets), Weicheng Liu (Low Voltage Clocking Methodologies for Nanoscale ICs), 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)
- 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).
- Senior Member: IEEE, Member: ACM SIGARCH, ACM SIGMICRO, ACM SIGOPS, HiPEAC Associate.
Funding
- AMD Corporation - FPGA Hardware for research
Donation, equipment ($7,717), 6/25/2023 - Ampere Computing - ARM Server Hardware for research
Donation, equipment ($17,400), 1/10/2023 - Stony Brook University-Brookhaven National Lab Seed Grant - Exploration of FPGAs for Real-Time ML-Based Data Compression in sPHENIX
Co-PI ,$37,000, 8/1/2022 - 3/1/2023 - National Science Foundation - SHF: Small: Massively Parallel Server Processors
PI, $600,000, 6/15/2022 - 5/31/2025 - OVPR Revise&Resubmit - Distributed Protocol Offload using FPGA SmartNICs
Co-PI, $13,000, 4/22/2022 - AMD Corporation - FPGA Hardware for research
Donation, equipment ($13,195), 3/9/2022 - Ampere Computing - ARM Server Hardware for research
Donation, equipment ($32,000), 5/28/2021 - National Science Foundation - SHF: Small: Sparsity-Aware Hardware Accelerators for Natural Language Processing with Transformers
Co-PI, $500,000, 10/01/2020 - 9/30/2023 - Stony Brook University-Brookhaven National Lab Seed Grant - Software Assist for Hardware-Managed Virtual Memory on FPGA Accelerators
PI, $37,000, 8/1/2020 - 3/1/2022 - Xilinx Corporation - FPGA Hardware for research
Donation, equipment ($6,495), 6/16/2020 - Xilinx Corporation - FPGA Hardware for research
Donation, equipment ($6,495), 2/20/2020 - National Science Foundation - MRI: Acquisition of Heterogeneous Computer System for Machine Learning
Co-PI, $561,000, 7/15/2019 - 7/14/2022 - National Science Foundation / Intel Corporation - FoMR: IPC Improvement through Hardware Memoization
PI, $400,000, 8/1/2019 - 7/31/2022 - Telluric Labs LLC / Department of Energy - IP Access Gateway
PI, $168,000, 4/8/2019 - 4/7/2020 - National Science Foundation - CSR: Medium: Approximate Membership Query Data Structures in Computational Biology and Storage
Co-PI, $1,200,000, 8/15/2018 - 8/14/2022 - Intel Corporation - FPGA Hardware for research
Donation, equipment ($5,500), 6/22/2018 - 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 (4 students)- Natheesan Ratnasegar, 2022-present
- Hieu Mai, 2021-present
- Reza Ali Modadi, 2018-present
- Farid Samandi, 2019-present
- Yongming Shen, 2014-2021
- Shenghsun Cho, 2014-2021
- Varun Agrawal, 2013-2020
- Sergey Madaminov, 2016-2022
- Zavosh Mottahedeh, 2019-2023
- Raveendra Soori, 2018-2020, NUCAlloc: Fine-Grained Block Placement in Hashed Last-Level NUCA Caches
- Mina Abbasi Dinani, 2016-2020, Massively Parallel Server Processors
- Raghav Dogra, 2017-2018, Predictive Batching for Deep Learning Inference Servers
- Manoj Alwani, 2015-2016, Fused Convolutional Neural Network Accelerators
- Tapti Palit, 2014-2015, Benchmarking Network-Intensive Applications
- Aakshintala Amogh, Aavuty Rajesh, Abhiroop Dabral, Abhishek Chauhan, Abhishek Patil, Aditi Singh, Ajay Gopal Krishna, Ajay Paddayuru Shreepathi Akshay Kale, Alok Thatikunta, Anirudh Mallick, Ankit Dewan, Anurag Porripireddi, Arjun Mathew Dan, Arnabjyoti Kalita, Balaji Srinivasan, Basavaraj Kaladagi, Bhavya Agarwal, Bhuvnesh Kumar Biswaranjan Panda, Chaitanya Chakka Krishna, Chidambaram Ramanathan, Devashish Thakur, Dhruva Kumar Devineni, Gangabarani Balakrishnan, Harinath Kanchu, Heta Ashit Saraiya, Jacob Samuel Harder, Jerrin Shaji George, Jiemin Zeng, Jihyu Yang, Kai-Chieh Huang, Karan Pugla, Komal Agrawal, Kushal Dhar, Malvika Modi, Mandar Naik, Michael Laurence Anderson, Mingchen Zhang, Mitesh Kumar Singh, Neeraj Dixit, Palit Tapti, Parag Gupta, Parikshit Bhattacharjee, Paul Mathew, Pratik Sudarshan Pantode, Priyanka Nath, Pruthvi Kumar Madugundu, Rahul Gadi, Rajendra Kumar Raghupatruni, Ravi Prakash Pandey, Ravikiran Patil, Rohit Chandramohanan, Romeyo Dsouza, Sahil Parmar, Sai Madan Mohan Reddy Patlolla, Sai Shashank Gaddam, Saptarshi Sen, Saraj Munjal, Sayli Yogesh Karnik, Scott Harvey, Shantanu Potdar, Shanuj Shekhar, Shreyas Prabhu Binnamangala, Shubham Pandurang Zope, Shubham Rajesh Jawandhiya, Shubhanga Narasimha, Shyam Sundar Chandrasekaran, Sneha Pathrose, Sri Krishna Jayadev Peddibhotla, Srinath Battula Yagna Reddy, Subin Mathew, Sumeeth Kyathanahalli, Sunad S Bhandary, Tamilmani Manoharan, Taylor Giles, Toby Babu, Vaibhav Srivastav Bandikatla, Vamshi Muthineni, Varsha Venkatesh, Vertika Vaid Vinay Krishnamurthy, Vinay Shetty, Vishal Nayak, Yigong Wang, Yu-Jiun Kao, Yuxuan Shui
- David Pokryvailo, Dylan Scott, Julian Shin Lise Ho, Mehrab Hoque, Yang Sheng Fang
- Alan Hau, Benjamin Michalowicz, Brandon Paradiso, Edgar Samudio, Eniola Abdul, Gabriel Kim, Haonan Huang, Jacky Xie, Janet Vorobyeva Jessica Chan, John Ranzie, Julian Leung, Kevin Wei, Kihoon Kim, Lawrence Lin, Matthew Ng, Minqi (Jason) Shi, Mrunal Patel, Qi Zhang, Roman Scher, Surya Patil
personal
Travel
These days, it seems like everyone's favorite hobby is to travel. Below is a map that shows the countries I visited.
Office
New Computer Science building, office 343343 New Computer Science
Stony Brook University
Stony Brook, NY 11794-2424
Phone
Office: (631) 632-8449Fax: (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.
Latest News
December 2, 2024: A Case for Hardware Memoization in Server CPUs will appear in CAL.
October 10, 2024: Ready or Not, Here I Come: Characterizing the Security of Prematurely-public Web Applications will appear at ACSAC'24.
September 6, 2024: Xipeng Shen and I will be serving as co-Program Chairs for International Conference on Supercomputing (ICS'25). Please submit your best work!
April 26, 2024: Our paper NUCAlloc: Fine-Grained Block Placement in Hashed Last-Level NUCA Caches will appear at ICS'24.