default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDRashmi S. Agrawal 0001
Person information
- affiliation: Boston University, Department of Electrical and Computer Engineering, MA, USA
Other persons with the same name
- Rashmi Agrawal — disambiguation page
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[c17]Rashmi S. Agrawal, Anantha P. Chandrakasan, Ajay Joshi:
HEAP: A Fully Homomorphic Encryption Accelerator with Parallelized Bootstrapping. ISCA 2024: 756-769- 2023
- [b1]Rashmi S. Agrawal:
Hardware accelerators for post-quantum cryptography and fully homomorphic encryption. Boston University, USA, 2023 - [j2]Neal Livesay
, Gilbert Jonatan, Evelio Mora, Kaustubh Shivdikar, Rashmi Agrawal, Ajay Joshi, José L. Abellán, John Kim, David R. Kaeli:
Accelerating Finite Field Arithmetic for Homomorphic Encryption on GPUs. IEEE Micro 43(5): 55-63 (2023) - [j1]Zahra Azad, Guowei Yang, Rashmi Agrawal, Daniel Petrisko, Michael Bedford Taylor, Ajay Joshi:
RISE: RISC-V SoC for En/Decryption Acceleration on the Edge for Homomorphic Encryption. IEEE Trans. Very Large Scale Integr. Syst. 31(10): 1523-1536 (2023) - [c16]Rashmi Agrawal, Leo de Castro, Guowei Yang, Chiraag Juvekar, Rabia Tugce Yazicigil, Anantha P. Chandrakasan, Vinod Vaikuntanathan, Ajay Joshi:
FAB: An FPGA-based Accelerator for Bootstrappable Fully Homomorphic Encryption. HPCA 2023: 882-895 - [c15]Kaustubh Shivdikar, Yuhui Bao, Rashmi Agrawal, Michael Tian Shen, Gilbert Jonatan, Evelio Mora, Alexander Ingare, Neal Livesay, José L. Abellán, John Kim, Ajay Joshi, David R. Kaeli:
GME: GPU-based Microarchitectural Extensions to Accelerate Homomorphic Encryption. MICRO 2023: 670-684 - [c14]Rashmi Agrawal, Leo de Castro, Chiraag Juvekar, Anantha P. Chandrakasan, Vinod Vaikuntanathan, Ajay Joshi:
MAD: Memory-Aware Design Techniques for Accelerating Fully Homomorphic Encryption. MICRO 2023: 685-697 - [c13]Rashmi Agrawal, Jung Ho Ahn, Flávio Bergamaschi, Ro Cammarota, Jung Hee Cheon, Fillipe D. M. de Souza, Huijing Gong, Minsik Kang, Duhyeong Kim, Jongmin Kim, Hubert de Lassus, Jai Hyun Park, Michael Steiner, Wen Wang:
High-precision RNS-CKKS on fixed but smaller word-size architectures: theory and application. WAHC@CCS 2023: 23-34 - [i12]Zahra Azad, Guowei Yang, Rashmi Agrawal, Daniel Petrisko, Michael B. Taylor, Ajay Joshi:
RISE: RISC-V SoC for En/decryption Acceleration on the Edge for Homomorphic Encryption. CoRR abs/2302.07104 (2023) - [i11]Kaustubh Shivdikar, Yuhui Bao, Rashmi Agrawal, Michael Tian Shen, Gilbert Jonatan, Evelio Mora, Alexander Ingare, Neal Livesay, José L. Abellán, John Kim, Ajay Joshi, David R. Kaeli:
GME: GPU-based Microarchitectural Extensions to Accelerate Homomorphic Encryption. CoRR abs/2309.11001 (2023) - [i10]Rashmi Agrawal, Jung Ho Ahn, Flávio Bergamaschi, Ro Cammarota, Jung Hee Cheon, Fillipe D. M. de Souza, Huijing Gong, Minsik Kang, Duhyeong Kim, Jongmin Kim, Hubert de Lassus, Jai Hyun Park, Michael Steiner, Wen Wang:
High-precision RNS-CKKS on fixed but smaller word-size architectures: theory and application. IACR Cryptol. ePrint Arch. 2023: 1462 (2023) - 2022
- [c12]Rashmi Agrawal, Ji Yang, Haris Javaid:
Efficient FPGA-based ECDSA Verification Engine for Permissioned Blockchains. ASAP 2022: 148-155 - [c11]Rashmi Agrawal, Ji Yang, Haris Javaid:
Efficient FPGA-based ECDSA Verification Engine For Permissioned Blockchains. FPGA 2022: 50 - [c10]Zahra Azad, Guowei Yang, Rashmi Agrawal, Daniel Petrisko, Michael B. Taylor, Ajay Joshi:
RACE: RISC-V SoC for En/decryption Acceleration on the Edge for Homomorphic Computation. ISLPED 2022: 13:1-13:6 - [c9]Kaustubh Shivdikar, Gilbert Jonatan, Evelio Mora, Neal Livesay, Rashmi Agrawal, Ajay Joshi, José L. Abellán, John Kim, David R. Kaeli:
Accelerating Polynomial Multiplication for Homomorphic Encryption on GPUs. SEED 2022: 61-72 - [i9]Rashmi Agrawal, Leo de Castro, Guowei Yang, Chiraag Juvekar, Rabia Tugce Yazicigil, Anantha P. Chandrakasan, Vinod Vaikuntanathan, Ajay Joshi:
FAB: An FPGA-based Accelerator for Bootstrappable Fully Homomorphic Encryption. CoRR abs/2207.11872 (2022) - [i8]Kaustubh Shivdikar, Gilbert Jonatan, Evelio Mora, Neal Livesay, Rashmi Agrawal, Ajay Joshi, José L. Abellán, John Kim, David R. Kaeli:
Accelerating Polynomial Multiplication for Homomorphic Encryption on GPUs. CoRR abs/2209.01290 (2022) - 2021
- [i7]Rashmi Agrawal, Ji Yang, Haris Javaid:
Efficient FPGA-based ECDSA Verification Engine for Permissioned Blockchains. CoRR abs/2112.02229 (2021) - [i6]Leo de Castro, Rashmi Agrawal, Rabia Tugce Yazicigil, Anantha P. Chandrakasan, Vinod Vaikuntanathan, Chiraag Juvekar, Ajay Joshi:
Does Fully Homomorphic Encryption Need Compute Acceleration? CoRR abs/2112.06396 (2021) - [i5]Leo de Castro, Rashmi Agrawal, Rabia Tugce Yazicigil, Anantha P. Chandrakasan, Vinod Vaikuntanathan, Chiraag Juvekar, Ajay Joshi:
Does Fully Homomorphic Encryption Need Compute Acceleration? IACR Cryptol. ePrint Arch. 2021: 1636 (2021) - 2020
- [c8]Rashmi S. Agrawal, Lake Bu, Eliakin Del Rosario, Michel A. Kinsy:
Design-flow Methodology for Secure Group Anonymous Authentication. DATE 2020: 1544-1549 - [c7]Rashmi S. Agrawal, Lake Bu, Michel A. Kinsy:
Fast Arithmetic Hardware Library For RLWE-Based Homomorphic Encryption. FCCM 2020: 206 - [c6]Rashmi S. Agrawal, Lake Bu, Eliakin Del Rosario, Michel A. Kinsy:
Towards Programmable All-Digital True Random Number Generator. ACM Great Lakes Symposium on VLSI 2020: 53-58 - [c5]Rashmi S. Agrawal, Lake Bu, Michel A. Kinsy:
A Post-Quantum Secure Discrete Gaussian Noise Sampler. HOST 2020: 295-304 - [c4]Vijay Gadepally, Mihailo Isakov, Rashmi S. Agrawal, Jeremy Kepner, Karen Gettings, Michel A. Kinsy:
Homomorphic Encryption Based Secure Sensor Data Processing. HPEC 2020: 1-7 - [c3]Rashmi S. Agrawal, Lake Bu, Michel A. Kinsy:
Quantum-Proof Lightweight McEliece Cryptosystem Co-processor Design. ICCD 2020: 73-79 - [i4]Rashmi S. Agrawal, Lake Bu, Alan Ehret, Michel A. Kinsy:
Fast Arithmetic Hardware Library For RLWE-Based Homomorphic Encryption. CoRR abs/2007.01648 (2020)
2010 – 2019
- 2019
- [c2]Rashmi S. Agrawal, Lake Bu, Alan Ehret, Michel A. Kinsy:
Open-Source FPGA Implementation of Post-Quantum Cryptographic Hardware Primitives. FPL 2019: 211-217 - [c1]Rashmi S. Agrawal, Sahan Bandara, Alan Ehret, Mihailo Isakov, Miguel Mark, Michel A. Kinsy:
The BRISC-V Platform: A Practical Teaching Approach for Computer Architecture. WCAE@ISCA 2019: 1:1-1:8 - [i3]Lake Bu, Rashmi S. Agrawal, Hai Cheng, Michel A. Kinsy:
A Lightweight McEliece Cryptosystem Co-processor Design. CoRR abs/1903.03733 (2019) - [i2]Lake Bu, Rashmi S. Agrawal, Hai Cheng, Michel A. Kinsy:
Post-Quantum Cryptographic Hardware Primitives. CoRR abs/1903.03735 (2019) - 2017
- [i1]Michel A. Kinsy, Rashmi S. Agrawal, Hien D. Nguyen:
Fast Processing of Large Graph Applications Using Asynchronous Architecture. CoRR abs/1706.09953 (2017)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-04 21:42 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
