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ORCIDCody Rivera
Person information
- affiliation: University of Wisconsin-Madison, Department of Computer Sciences, Madison, WI, USA
- affiliation (former): University of Illinois at Urbana-Champaign, Department of Computer Science, Urbana, IL, USA
- affiliation (former): University of Alabama, Department of Computer Science, Tuscaloosa, AL, USA
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2020 – today
- 2025
[j3]Cody Rivera
, Bishnu Bhusal, Rohit Chadha, A. Prasad Sistla, Mahesh Viswanathan:
Checking δ-Satisfiability of Reals with Integrals. Proc. ACM Program. Lang. 9(OOPSLA1): 704-729 (2025)- [d2]Cody Rivera, Bishnu Bhusal, Rohit Chadha, Aravinda Prasad Sistla, Mahesh Viswanathan:
Artifact for Paper Submission "Checking 𝛿-Satisfiability of Reals with Integrals". Version 1. Zenodo, 2025 [all versions]
- [d1]Cody Rivera, Bishnu Bhusal, Rohit Chadha, Aravinda Prasad Sistla, Mahesh Viswanathan:
Artifact for Paper Submission "Checking 𝛿-Satisfiability of Reals with Integrals". Version 2. Zenodo, 2025 [all versions] - 2024
- [j2]Adithya Murali, Cody Rivera, P. Madhusudan:
Predictable Verification using Intrinsic Definitions. Proc. ACM Program. Lang. 8(PLDI): 1804-1829 (2024) - [i6]Adithya Murali, Cody Rivera, P. Madhusudan:
Predictable Verification using Intrinsic Definitions. CoRR abs/2404.04515 (2024) - 2022
- [c4]Cody Rivera, Sheng Di, Jiannan Tian, Xiaodong Yu, Dingwen Tao, Franck Cappello:
Optimizing Huffman Decoding for Error-Bounded Lossy Compression on GPUs. IPDPS 2022: 717-727 - [i5]Cody Rivera, Sheng Di, Jiannan Tian, Xiaodong Yu, Dingwen Tao, Franck Cappello:
Optimizing Huffman Decoding for Error-Bounded Lossy Compression on GPUs. CoRR abs/2201.09118 (2022) - 2021
- [j1]Cody Rivera, Jieyang Chen, Nan Xiong, Jing Zhang, Shuaiwen Leon Song, Dingwen Tao:
TSM2X: High-performance tall-and-skinny matrix-matrix multiplication on GPUs. J. Parallel Distributed Comput. 151: 70-85 (2021) - [c3]Jiannan Tian, Sheng Di, Xiaodong Yu, Cody Rivera, Kai Zhao, Sian Jin, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello:
Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs. CLUSTER 2021: 283-293 - [c2]Jiannan Tian, Cody Rivera, Sheng Di, Jieyang Chen, Xin Liang, Dingwen Tao, Franck Cappello:
Revisiting Huffman Coding: Toward Extreme Performance on Modern GPU Architectures. IPDPS 2021: 881-891 - [i4]Jiannan Tian, Sheng Di, Xiaodong Yu, Cody Rivera, Kai Zhao, Sian Jin, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello:
cuSZ(x): Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs. CoRR abs/2105.12912 (2021) - 2020
- [c1]Jiannan Tian, Sheng Di, Kai Zhao, Cody Rivera, Megan Hickman Fulp, Robert Underwood, Sian Jin, Xin Liang, Jon Calhoun, Dingwen Tao, Franck Cappello:
cuSZ: An Efficient GPU-Based Error-Bounded Lossy Compression Framework for Scientific Data. PACT 2020: 3-15 - [i3]Cody Rivera, Jieyang Chen, Nan Xiong, Shuaiwen Leon Song, Dingwen Tao:
ISM2: Optimizing Irregular-Shaped Matrix-Matrix Multiplication on GPUs. CoRR abs/2002.03258 (2020) - [i2]Jiannan Tian, Sheng Di, Kai Zhao, Cody Rivera, Megan Hickman Fulp, Robert Underwood, Sian Jin, Xin Liang, Jon Calhoun, Dingwen Tao, Franck Cappello:
cuSZ: An Efficient GPU-Based Error-Bounded Lossy Compression Framework for Scientific Data. CoRR abs/2007.09625 (2020) - [i1]Jiannan Tian, Cody Rivera, Sheng Di, Jieyang Chen, Xin Liang, Dingwen Tao, Franck Cappello:
Revisiting Huffman Coding: Toward Extreme Performance on Modern GPU Architectures. CoRR abs/2010.10039 (2020)
Coauthor Index
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