Niranjan Hasabnis

According to our database, Niranjan Hasabnis authored at least 26 papers between 2012 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

PragFormer: Data-Driven Parallel Source Code Classification with Transformers.

Re'em Harel, Tal Kadosh, Niranjan Hasabnis, Timothy G. Mattson, Yuval Pinter, Gal Oren

Int. J. Parallel Program., February, 2025

2024

Tenspiler: A Verified-Lifting-Based Compiler for Tensor Operations (Artifact).

Jie Qiu, Colin Cai, Sahil Bhatia, Niranjan Hasabnis, Sanjit A. Seshia, Alvin Cheung

Dagstuhl Artifacts Ser., 2024

OMPar: Automatic Parallelization with AI-Driven Source-to-Source Compilation.

Tal Kadosh, Niranjan Hasabnis, Prema Soundararajan, Vy A. Vo, Mihai Capota, Nesreen K. Ahmed, Yuval Pinter, Gal Oren

CoRR, 2024

Verified Code Transpilation with LLMs.

Sahil Bhatia, Jie Qiu, Niranjan Hasabnis, Sanjit A. Seshia, Alvin Cheung

CoRR, 2024

Towards a high-performance AI compiler with upstream MLIR.

Renato Golin, Lorenzo Chelini, Adam Siemieniuk, Kavitha Madhu, Niranjan Hasabnis, Hans Pabst, Evangelos Georganas, Alexander Heinecke

CoRR, 2024

MPIrigen: MPI Code Generation through Domain-Specific Language Models.

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 G. Mattson, Gal Oren

CoRR, 2024

The Landscape and Challenges of HPC Research and LLMs.

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

CoRR, 2024

OMPGPT: A Generative Pre-trained Transformer Model for OpenMP.

Le Chen, Arijit Bhattacharjee, Nesreen K. Ahmed, Niranjan Hasabnis, Gal Oren, Vy A. Vo, Ali Jannesari

Proceedings of the Euro-Par 2024: Parallel Processing, 2024

Tenspiler: A Verified-Lifting-Based Compiler for Tensor Operations.

Jie Qiu, Colin Cai, Sahil Bhatia, Niranjan Hasabnis, Sanjit A. Seshia, Alvin Cheung

Proceedings of the 38th European Conference on Object-Oriented Programming, 2024

2023

Domain-Specific Code Language Models: Unraveling the Potential for HPC Codes and Tasks.

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

CoRR, 2023

CompCodeVet: A Compiler-guided Validation and Enhancement Approach for Code Dataset.

Le Chen, Arijit Bhattacharjee, Nesreen K. Ahmed, Niranjan Hasabnis, Gal Oren, Bin Lei, Ali Jannesari

CoRR, 2023

Scope is all you need: Transforming LLMs for HPC Code.

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

CoRR, 2023

MPI-RICAL: Data-Driven MPI Distributed Parallelism Assistance with Transformers.

Nadav Schneider, Tal Kadosh, Niranjan Hasabnis, Timothy G. Mattson, Yuval Pinter, Gal Oren

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Advising OpenMP Parallelization via A Graph-Based Approach with Transformers.

Tal Kadosh, Nadav Schneider, Niranjan Hasabnis, Timothy G. Mattson, Yuval Pinter, Gal Oren

Proceedings of the OpenMP: Advanced Task-Based, Device and Compiler Programming, 2023

Quantifying OpenMP: Statistical Insights into Usage and Adoption.

Tal Kadosh, Niranjan Hasabnis, Timothy G. Mattson, Yuval Pinter, Gal Oren

Proceedings of the IEEE High Performance Extreme Computing Conference, 2023

2022

CWD: A Machine Learning based Approach to Detect Unknown Cloud Workloads.

Mohammad Hossain, Derssie Mebratu, Niranjan Hasabnis, Jun Jin, Gaurav Chaudhary, Noah Shen

CoRR, 2022

Are machine programming systems using right source-code measures to select code repositories?

Niranjan Hasabnis

Proceedings of the 6th International Workshop on Machine Learning Techniques for Software Quality Evaluation, 2022

GitRank: A Framework to Rank GitHub Repositories.

Niranjan Hasabnis

Proceedings of the 19th IEEE/ACM International Conference on Mining Software Repositories, 2022

2021

Automatic Tuning of Tensorflow's CPU Backend Using Gradient-Free Optimization Algorithms.

Derssie Mebratu, Niranjan Hasabnis, Pietro Mercati, Gaurit Sharma, Shamima Najnin

Proceedings of the High Performance Computing - ISC High Performance Digital 2021 International Workshops, Frankfurt am Main, Germany, June 24, 2021

ControlFlag: a self-supervised idiosyncratic pattern detection system for software control structures.

Niranjan Hasabnis, Justin Gottschlich

Proceedings of the MAPS@PLDI 2021: Proceedings of the 5th ACM SIGPLAN International Symposium on Machine Programming, 2021

2018

Auto-tuning TensorFlow Threading Model for CPU Backend.

Niranjan Hasabnis

CoRR, 2018

2016

Extracting instruction semantics via symbolic execution of code generators.

Niranjan Hasabnis, R. Sekar

Proceedings of the 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering, 2016

Lifting Assembly to Intermediate Representation: A Novel Approach Leveraging Compilers.

Niranjan Hasabnis, R. Sekar

Proceedings of the Twenty-First International Conference on Architectural Support for Programming Languages and Operating Systems, 2016

2015

Checking correctness of code generator architecture specifications.

Niranjan Hasabnis, Rui Qiao, R. Sekar

Proceedings of the 13th Annual IEEE/ACM International Symposium on Code Generation and Optimization, 2015

2014

A platform for secure static binary instrumentation.

Mingwei Zhang, Rui Qiao, Niranjan Hasabnis, R. Sekar

Proceedings of the 10th ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments, 2014

2012

Light-weight bounds checking.

Niranjan Hasabnis, Ashish Misra, R. Sekar

Proceedings of the 10th Annual IEEE/ACM International Symposium on Code Generation and Optimization, 2012