Niranjan Hasabnis

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 28

Top Topics

Parallelization Strategy

Intermediate Representation

Control Structures

Top Venues

Publications

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 (2024)
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 (2024)
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 (2024)
Sahil Bhatia, Jie Qiu, Niranjan Hasabnis, Sanjit A. Seshia, Alvin Cheung
Verified Code Transpilation with LLMs. CoRR (2024)
Jie Qiu, Colin Cai, Sahil Bhatia, Niranjan Hasabnis, Sanjit A. Seshia, Alvin Cheung
Tenspiler: A Verified Lifting-Based Compiler for Tensor Operations. CoRR (2024)
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 (2024)
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 Mattson, Gal Oren
Domain-Specific Code Language Models: Unraveling the Potential for HPC Codes and Tasks. CoRR (2023)
Tal Kadosh, Nadav Schneider, Niranjan Hasabnis, Timothy Mattson, Yuval Pinter, Gal Oren
Advising OpenMP Parallelization via a Graph-Based Approach with Transformers. CoRR (2023)
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)
Tal Kadosh, Niranjan Hasabnis, Timothy Mattson, Yuval Pinter, Gal Oren
Quantifying OpenMP: Statistical Insights into Usage and Adoption. CoRR (2023)
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 (2023)
Tal Kadosh, Nadav Schneider, Niranjan Hasabnis, Timothy Mattson, Yuval Pinter, Gal Oren
Advising OpenMP Parallelization via A Graph-Based Approach with Transformers. IWOMP (2023)
Tal Kadosh, Niranjan Hasabnis, Vy A. Vo, Nadav Schneider, Neva Krien, Abdul Wasay, Nesreen K. Ahmed, Ted Willke, Guy Tamir, Yuval Pinter, Timothy Mattson, Gal Oren
Scope is all you need: Transforming LLMs for HPC Code. CoRR (2023)
Nadav Schneider, Tal Kadosh, Niranjan Hasabnis, Timothy Mattson, Yuval Pinter, Gal Oren
MPI-rical: Data-Driven MPI Distributed Parallelism Assistance with Transformers. CoRR (2023)
Tal Kadosh, Niranjan Hasabnis, Timothy Mattson, Yuval Pinter, Gal Oren
Quantifying OpenMP: Statistical Insights into Usage and Adoption. HPEC (2023)
Niranjan Hasabnis
Are Machine Programming Systems using Right Source-Code Measures to Select Code Repositories? CoRR (2022)
Niranjan Hasabnis
GitRank: A Framework to Rank GitHub Repositories. CoRR (2022)
Mohammad Hossain, Derssie Mebratu, Niranjan Hasabnis, Jun Jin, Gaurav Chaudhary, Noah Shen
CWD: A Machine Learning based Approach to Detect Unknown Cloud Workloads. CoRR (2022)
Niranjan Hasabnis
Are machine programming systems using right source-code measures to select code repositories? MaLTeSQuE@ESEC/SIGSOFT FSE (2022)
Niranjan Hasabnis
GitRank: A Framework to Rank GitHub Repositories. MSR (2022)
Derssie Mebratu, Niranjan Hasabnis, Pietro Mercati, Gaurit Sharma, Shamima Najnin
Automatic Tuning of Tensorflow's CPU Backend using Gradient-Free Optimization Algorithms. CoRR (2021)
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)
Niranjan Hasabnis, Justin Gottschlich
ControlFlag: a self-supervised idiosyncratic pattern detection system for software control structures. MAPS@PLDI (2021)
Niranjan Hasabnis, Justin Gottschlich
ControlFlag: A Self-supervised Idiosyncratic Pattern Detection System for Software Control Structures. CoRR (2020)
Niranjan Hasabnis
Auto-tuning TensorFlow Threading Model for CPU Backend. CoRR (2018)
Niranjan Hasabnis, R. Sekar
Lifting Assembly to Intermediate Representation: A Novel Approach Leveraging Compilers. ASPLOS (2016)
Niranjan Hasabnis, R. Sekar
Extracting instruction semantics via symbolic execution of code generators. SIGSOFT FSE (2016)
Niranjan Hasabnis, Rui Qiao, R. Sekar
Checking correctness of code generator architecture specifications. CGO (2015)
Mingwei Zhang, Rui Qiao, Niranjan Hasabnis, R. Sekar
A platform for secure static binary instrumentation. VEE (2014)
Niranjan Hasabnis, Ashish Misra, R. Sekar
Light-weight bounds checking. CGO (2012)