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Dive into the research topics where Santosh Nagarakatte is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Collaborative Research: DOE/NSF Workshop on Correctness in Scientific Computing
5/1/23 → 12/31/23
Project: Research project
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SHF:Small:Techniques for Generating Correctly Rounded Math Libraries
Nagarakatte, S. & Aanjaneya, M.
6/1/21 → 5/31/24
Project: Research project
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FMitF: Track I: Formally Verified Sandboxing for Packet-Processing Programs
Narayana Ganapathy, S. & Nagarakatte, S.
10/1/20 → 9/30/24
Project: Research project
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FMitF: Track II: Automated Verification for Assembly Implementations of Cryptography Libraries
8/1/19 → 1/31/22
Project: Research project
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Fast Polynomial Evaluation for Correctly Rounded Elementary Functions using the RLIBM Approach
Aanjaneya, M. & Nagarakatte, S., Feb 17 2023, CGO 2023 - Proceedings of the 21st ACM/IEEE International Symposium on Code Generation and Optimization. Dubach, C., Bruening, D. & Hardekopf, B. (eds.). Association for Computing Machinery, Inc, p. 95-107 13 p. (CGO 2023 - Proceedings of the 21st ACM/IEEE International Symposium on Code Generation and Optimization).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Verifying the Verifier: eBPF Range Analysis Verification
Vishwanathan, H., Shachnai, M., Narayana, S. & Nagarakatte, S., 2023, Computer Aided Verification - 35th International Conference, CAV 2023, Proceedings. Enea, C. & Lal, A. (eds.). Springer Science and Business Media Deutschland GmbH, p. 226-251 26 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13966 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access -
An Accelerator for Sparse Convolutional Neural Networks Leveraging Systolic General Matrix-matrix Multiplication
Soltaniyeh, M., Martin, R. P. & Nagarakatte, S., May 25 2022, In: ACM Transactions on Architecture and Code Optimization. 19, 3, 42.Research output: Contribution to journal › Article › peer-review
Open Access7 Scopus citations -
Fast shadow execution for debugging numerical errors using error free transformations
Chowdhary, S. & Nagarakatte, S., Oct 31 2022, In: Proceedings of the ACM on Programming Languages. 6, OOPSLA2, 190.Research output: Contribution to journal › Article › peer-review
Open Access -
Near-Storage Processing for Solid State Drive Based Recommendation Inference with SmartSSDs®
Soltaniyeh, M., Lagrange Moutinho Dos Reis, V., Bryson, M., Yao, X., Martin, R. P. & Nagarakatte, S., Apr 9 2022, ICPE 2022 - Proceedings of the 2022 ACM/SPEC International Conference on Performance Engineering. Association for Computing Machinery, Inc, p. 177-186 10 p. (ICPE 2022 - Proceedings of the 2022 ACM/SPEC International Conference on Performance Engineering).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
2 Scopus citations