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Niranjan Hasabnis
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2020 – today
- 2024
- [i18]Le Chen, Arijit Bhattacharjee, Nesreen K. Ahmed, Niranjan Hasabnis, Gal Oren, Vy A. Vo, Ali Jannesari:
OMPGPT: A Generative Pre-trained Transformer Model for OpenMP. CoRR abs/2401.16445 (2024) - [i17]Le Chen, Nesreen K. Ahmed, Akash Dutta, Arijit Bhattacharjee, Sixing Yu, Quazi Ishtiaque Mahmud, Waqwoya Abebe, Hung Phan, Aishwarya Sarkar, Branden Butler, Niranjan Hasabnis, Gal Oren, Vy A. Vo, Juan Pablo Muñoz, Theodore L. Willke, Tim Mattson, Ali Jannesari:
The Landscape and Challenges of HPC Research and LLMs. CoRR abs/2402.02018 (2024) - [i16]Nadav Schneider, Niranjan Hasabnis, Vy A. Vo, Tal Kadosh, Neva Krien, Mihai Capota, Abdul Wasay, Guy Tamir, Ted Willke, Nesreen K. Ahmed, Yuval Pinter, Timothy Mattson, Gal Oren:
MPIrigen: MPI Code Generation through Domain-Specific Language Models. CoRR abs/2402.09126 (2024) - [i15]Renato Golin, Lorenzo Chelini, Adam Siemieniuk, Kavitha Madhu, Niranjan Hasabnis, Hans Pabst, Evangelos Georganas, Alexander Heinecke:
Towards a high-performance AI compiler with upstream MLIR. CoRR abs/2404.15204 (2024) - [i14]Jie Qiu, Colin Cai, Sahil Bhatia, Niranjan Hasabnis, Sanjit A. Seshia, Alvin Cheung:
Tenspiler: A Verified Lifting-Based Compiler for Tensor Operations. CoRR abs/2404.18249 (2024) - [i13]Sahil Bhatia, Jie Qiu, Niranjan Hasabnis, Sanjit A. Seshia, Alvin Cheung:
Verified Code Transpilation with LLMs. CoRR abs/2406.03003 (2024) - 2023
- [c12]Tal Kadosh, Niranjan Hasabnis, Timothy Mattson, Yuval Pinter, Gal Oren:
Quantifying OpenMP: Statistical Insights into Usage and Adoption. HPEC 2023: 1-7 - [c11]Tal Kadosh, Nadav Schneider, Niranjan Hasabnis, Timothy Mattson, Yuval Pinter, Gal Oren:
Advising OpenMP Parallelization via A Graph-Based Approach with Transformers. IWOMP 2023: 3-17 - [c10]Nadav Schneider
, Tal Kadosh
, Niranjan Hasabnis
, Timothy Mattson
, Yuval Pinter
, Gal Oren
:
MPI-RICAL: Data-Driven MPI Distributed Parallelism Assistance with Transformers. SC Workshops 2023: 1-10 - [i12]Nadav Schneider, Tal Kadosh, Niranjan Hasabnis, Timothy Mattson, Yuval Pinter, Gal Oren:
MPI-rical: Data-Driven MPI Distributed Parallelism Assistance with Transformers. CoRR abs/2305.09438 (2023) - [i11]Tal Kadosh, Nadav Schneider, Niranjan Hasabnis, Timothy Mattson, Yuval Pinter, Gal Oren:
Advising OpenMP Parallelization via a Graph-Based Approach with Transformers. CoRR abs/2305.11999 (2023) - [i10]Tal Kadosh, Niranjan Hasabnis, Timothy Mattson, Yuval Pinter, Gal Oren:
Quantifying OpenMP: Statistical Insights into Usage and Adoption. CoRR abs/2308.08002 (2023) - [i9]Tal Kadosh, Niranjan Hasabnis, Vy A. Vo, Nadav Schneider, Neva Krien, Abdul Wasay, Nesreen K. Ahmed, Ted Willke, Guy Tamir, Yuval Pinter, Timothy G. Mattson, Gal Oren:
Scope is all you need: Transforming LLMs for HPC Code. CoRR abs/2308.09440 (2023) - [i8]Le Chen, Arijit Bhattacharjee, Nesreen K. Ahmed, Niranjan Hasabnis, Gal Oren, Bin Lei, Ali Jannesari:
CompCodeVet: A Compiler-guided Validation and Enhancement Approach for Code Dataset. CoRR abs/2311.06505 (2023) - [i7]Tal Kadosh, Niranjan Hasabnis, Vy A. Vo, Nadav Schneider, Neva Krien, Mihai Capota, Abdul Wasay, Nesreen K. Ahmed, Ted Willke, Guy Tamir, Yuval Pinter, Timothy G. Mattson, Gal Oren:
Domain-Specific Code Language Models: Unraveling the Potential for HPC Codes and Tasks. CoRR abs/2312.13322 (2023) - 2022
- [c9]Niranjan Hasabnis:
GitRank: A Framework to Rank GitHub Repositories. MSR 2022: 729-731 - [c8]Niranjan Hasabnis:
Are machine programming systems using right source-code measures to select code repositories? MaLTeSQuE@ESEC/SIGSOFT FSE 2022: 11-16 - [i6]Niranjan Hasabnis:
GitRank: A Framework to Rank GitHub Repositories. CoRR abs/2205.02360 (2022) - [i5]Niranjan Hasabnis:
Are Machine Programming Systems using Right Source-Code Measures to Select Code Repositories? CoRR abs/2209.11946 (2022) - [i4]Mohammad Hossain, Derssie Mebratu, Niranjan Hasabnis, Jun Jin, Gaurav Chaudhary, Noah Shen:
CWD: A Machine Learning based Approach to Detect Unknown Cloud Workloads. CoRR abs/2211.15739 (2022) - 2021
- [c7]Niranjan Hasabnis, Justin Gottschlich
:
ControlFlag: a self-supervised idiosyncratic pattern detection system for software control structures. MAPS@PLDI 2021: 32-42 - [c6]Derssie Mebratu, Niranjan Hasabnis, Pietro Mercati
, Gaurit Sharma, Shamima Najnin:
Automatic Tuning of Tensorflow's CPU Backend Using Gradient-Free Optimization Algorithms. ISC Workshops 2021: 249-266 - [i3]Derssie Mebratu, Niranjan Hasabnis, Pietro Mercati, Gaurit Sharma, Shamima Najnin:
Automatic Tuning of Tensorflow's CPU Backend using Gradient-Free Optimization Algorithms. CoRR abs/2109.06266 (2021) - 2020
- [i2]Niranjan Hasabnis, Justin Gottschlich:
ControlFlag: A Self-supervised Idiosyncratic Pattern Detection System for Software Control Structures. CoRR abs/2011.03616 (2020)
2010 – 2019
- 2018
- [i1]Niranjan Hasabnis:
Auto-tuning TensorFlow Threading Model for CPU Backend. CoRR abs/1812.01665 (2018) - 2016
- [c5]Niranjan Hasabnis, R. Sekar:
Lifting Assembly to Intermediate Representation: A Novel Approach Leveraging Compilers. ASPLOS 2016: 311-324 - [c4]Niranjan Hasabnis, R. Sekar:
Extracting instruction semantics via symbolic execution of code generators. SIGSOFT FSE 2016: 301-313 - 2015
- [c3]Niranjan Hasabnis, Rui Qiao, R. Sekar:
Checking correctness of code generator architecture specifications. CGO 2015: 167-178 - 2014
- [c2]Mingwei Zhang, Rui Qiao, Niranjan Hasabnis, R. Sekar:
A platform for secure static binary instrumentation. VEE 2014: 129-140 - 2012
- [c1]Niranjan Hasabnis, Ashish Misra, R. Sekar:
Light-weight bounds checking. CGO 2012: 135-144
Coauthor Index
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last updated on 2024-07-07 00:30 CEST by the dblp team
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