Elaheh Sadredini

elaheh@virginia.edu

Postdoctoral Researcher
Computer Science Department
University of Virginia

         CV  

About Me


I am a postdoctoral research in the Computer Science Department at the University of Virginia. I received my Ph.D. in Computer Science at the University of Virginia in May 2019, advised by Professor Kevin Skadron. My focus of research is on accelerator-based, application-specific and reconfigurable architecture, novel computing and memory technologies, and architecture for emerging technologies and applications.

I am in the academic job market this year.


News



Experience


eBay Inc.Hardware Engineering TeamMay 2018 - August 2018
PhD Research Intern

Apple Inc.Video Engineering GroupMay 2017 - August 2017
Intern

Friedrich-Alexander-University of Erlangen-NürnbergComputer Architecture GroupFebruary 2014 - July 2014
Research Intern

University of TehranCAD Research GroupOctober 2010 - July 2013
Graduate Research Assistant


● FlexAmata: A Universal and Efficient Adaption of Applications to Spatial Automata Processing Accelerators.
Elaheh Sadredini, Reza Rahimi, Marzieh Lenjani, Mircea Stan, Kevin Skadron
The 25th International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2020. To appear (Acceptance rate: 18%). Artifact Available and Artifact Evaluated/Functional Badges.
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● Impala: Algorithm/Architecture Co-Design for In-Memory Multi-Stride Pattern Matching. (Best Paper Nominee).
Elaheh Sadredini, Reza Rahimi (equal contribution), Marzieh Lenjani, Mircea Stan, Kevin Skadron
The 26th IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2020. To appear (Acceptance rate: 19%).
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● Fulcrum: a Simplified Control and Access Mechanism toward Flexible and Practical in-situ Accelerators.
Marzieh Lenjani, Patricia Gonzalez, Elaheh Sadredini, Shuangchen Li, Yuan Xie, Ameen Akel, Sean Eilert, Mircea R. Stan, and Kevin Skadron
The 26th IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2020. To appear (Acceptance rate: 19%).


● eAP: A Scalable and Efficient in Memory Accelerator for Automata Processing.
Elaheh Sadredini, Reza Rahimi, Vaibhav Verma, Mircea Stan, Kevin Skadron
52th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO'52), 2019 (Acceptance rate: 23%).
● Evaluation of an Overflow-free Quantized Memory Hierarchy in General Purpose Processors (Best Paper Nominee).
Marzieh Lenjani, Patricia Gonzalez, Elaheh Sadredini, M Arif Rahman, and Mircea Stan
IEEE International Symposium on Workload Characterization (IISWC), 2019,
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● AutomataZoo: A Modern Automata Processing Benchmark Suite.
Jack Wadden, Tommy Tracy II, Elaheh Sadredini, Lingxi Wu, Chunkun Bo, Jesse Du, Yizhou Wei, Matthew Wallace, Jeffrey Udall, Mircea Stan, Kevin Skadron
IEEE International Symposium on Workload Characterization (IISWC), 2018 (Acceptance rate: 23%).


● ASPEN: A Scalable In-SRAM Architecture for Pushdown Automata.
Kevin Angstadt, Arun Subramaniyan, Elaheh Sadredini, Reza Rahimi, Kevin Skadron, Westley Weimer, and Reetu Das
51th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO'51), 2018 (Acceptance rate: 21%).
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● A Scalable Solution for Rule-Based Part-of-Speech Tagging on Novel Hardware Accelerators.
Elaheh Sadredini, Deyuan Guo, Chunkun Bo, Reza Rahimi, Kevin Skadron, Hongning Wang
24th ACMSIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2018 (Acceptance rate: 14.5%).
● Searching for Potential gRNA Off-Target Sites for CRISPR/Cas9 using Automata Processing across Different Platforms.
Chunkun Bo, Vinh Dang, Elaheh Sadredini, kevin Skadron
High-Performance Computer Architecture (HPCA), 2018 (Acceptance rate: 20%).
● Frequent Subtree Mining on the Automata Processor: Opportunities and Challenges
Elaheh Sadredini, Reza Rahimi, Ke Wang, and Kevin Skadron
International Conference on Supercomputing (ICS), 2017 (Acceptance rate: 15.8%).
● ANMLZoo: A Benchmark Suite for Exploring Bottlenecks in Automata Processing Engines and Architectures
Jack Wadden, Vinh Dang, Nathan Brunelle, Tommy Tracy II, Deyuan Guo, Elaheh Sadredini, Ke Wang, Chunkun Bo, Gabe Robins, Mircea Stan, Kevin Skadron
International Symposium on Workload Characterization (IISWC), 2016
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● Sequential Pattern Mining with the Micron Automata Processor (Best paper award).
Ke Wang, Elaheh Sadredini, and Kevin Skadron
ACM International Conference on Computing Frontiers (CF), 2016.
● An Improved Scheme for Pre-computed Patterns in Core-based SoC Architecture
Elaheh Sadredini, Reza Rahimi, Paniz Froutan, Mahmood Fathy, and Zainalabedin Navabi
IEEE In Design and Test Symposium (EWDTS), 2016
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● BILBO-friendly hybrid BIST architecture with asymmetric polynomial reseeding
Elaheh Sadredini, Mohammadreza Najafi, Mahmood Fathy, and Zainalabedin Navabi
IEEE International Symposium on Computer Architecture and Digital Systems (CADS), 2012
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● A Scalable and Efficient In-Memory Interconnect Architecture for Automata Processing (Selected as one of three "Best of CAL" out of 46 accepted papers in 2019).
Elaheh Sadredini, Reza Rahimi, Vaibhav Verma, Mircea Stan, Kevin Skadron
IEEE Computer Architecture Letters (CAL), 2019 (Acceptance rate: 17%).
● Hierarchical Pattern Mining with the Micron Automata Processor
Ke Wang, Elaheh Sadredini, and Kevin Skadron
International Journal of Parallel Programming (IJPP), 2017
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● An Overview of Micron's Automata Processor
Ke Wang, Kevin Angstadt, Chunkun Bo, Nathan Brunelle, Elaheh Sadredini, Tommy Tracy II, Jack Wadden, Mircea Stan, Kevin Skadron
IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis, 2016
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Disjunctive Rule Mining with Finite Automaton Hardware
Ke Wang, Elaheh Sadredini, and Kevin Skadron
U.S. Patent Serial No. US15/475,819, Granted in November 2019


Methods, Circuits, and Articles of Manufacture for Frequent Sub-Tree Mining using Non-Deterministic Finite State Machines.
Elaheh Sadredini, Reza Rahimi, Ke Wang, and Kevin Skadron
U.S. Patent Application No. 16/246,641.


● Methods, Circuits, Systems, and Manufacture for State Machine Interconnect Architecture Using Embedded DRAM.
Elaheh Sadredini, Reza Rahimi, Mircea Stan, and Kevin Skadron
U.S. Patent Application No. 16/246,742, 2019


Methods, Circuits, Systems, and Articles of Manufacture for Searching a Reference Sequence for a Target Sequence within a Specified Distance.
Chunkun Bo,, Elaheh Sadredini, Vinh Dang, and Kevin Skadron
U.S. Patent Application No. 15/932,287, 2018


Sequential Pattern Mining with the Micron Automata Processor
Ke Wang, Elaheh Sadredini, and Kevin Skadron
U.S. Patent Application No. 15/198521, 2017


Brill++ (GitHub): A Scalable Solution for Rule-Based Part-of-Speech Tagging on Novel Hardware Accelerators, International Conference on Knowledge Discovery and Data Mining (KDD), 2018.

GPUTreeMiner (GitHub): Frequent Subtree Mining on the Automata Processor: Opportunities and Challenges, ACM International Conference on Supercomputing, 2017.

SPM (GitHub): Sequential Pattern Mining with the Micron Automata Processor, ACM International Conference on ACM International Conference on Computing Frontiers (CF), 2016.

● Impala paper is nominated for Best Paper Award at HPCA 2020.


● Best paper award, our CAL paper is selected as one of three "Best of CAL" out of 46 accepted papers in 2019, by the Editorial Board of IEEE Computer Architecture Letters (CAL), December, 2019.


Best Paper Candidate, IEEE International Symposium on Workload Characterization (IISWC), Florida, November 2019.


Best presentation award, SRC Techcon, Austin, TX, Sept. 2019. Photo


ISO Graduation Award, Selected among all the international graduated students at the University of Virginia, May 2019. Photo


John A. Stankovic graduate research award for outstanding research, Department of Computer Science, University of Virginia, 2018-2019.


Second place in 15th annual University of Virginia Engineering Research Symposium (UVERS) for exceptional presentation of graduate research, Charlotteville, VA, March, 2019. Photo


Best presentation award, SRC Techcon, Austin, TX, Sept. 2018. Photo


Graduate student award for outstanding research, Department of Computer Science, University of Virginia, 2017-2018.


● Selected as runner up in 14th annual University of Virginia Engineering Research Symposium (UVERS) for exceptional graduate research, Charlotteville, VA, March, 2018.


Best paper award, "Sequential Pattern Mining with the Micron Automata Processor", ACM International Conference on Computing Frontiers, Como, Italy, May 2016.


● Ranked second among graduate students in Computer Engineering Department, Iran University of Science and Technology, Tehran, Iran, December 2012.


● Selected as an exceptional talent and admitted to graduate studies (M. Sc. program) without participating in nationwide university entrance exam, Iran University of Science and Technology, Tehran, Iran, September 2010.