Jangda, Abhinav
- Knowledge Transfer from High-Resource to Low-Resource Programming Languages for Code LLMs
2023/08/19 by Federico Cassano, Cassano, Federico, John Gouwar +17 · 2 voices · 18 citations
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Programming Languages (cs.PL) #Software Engineering Research #Software Reliability and Analysis Research #Software Testing and Debugging Techniques #cs.LG #cs.PL
- MultiPL-E: A Scalable and Extensible Approach to Benchmarking Neural Code Generation
2022/08/17 by Federico Cassano, John Gouwar, Cassano, Federico +23 · 29 citations
Computer Science · Materials Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Programming Languages (cs.PL) #Software Engineering Research #Topic Modeling
- Breaking the Computation and Communication Abstraction Barrier in Distributed Machine Learning Workloads
2021/05/12 by Abhinav Jangda, Jun Huang, Jangda, Abhinav +15 · 12 citations
Computer Science · Engineering · #Parallel Computing and Optimization Techniques #Advanced Neural Network Applications #Ferroelectric and Negative Capacitance Devices
- Predicting Variable Types in Dynamically Typed Programming Languages
2019/01/16 by Abhinav Jangda, Jangda, Abhinav, Gaurav Anand +1 · 1 voice
Computer Science · #Parallel Computing and Optimization Techniques #Software Engineering Research #Topic Modeling #cs.AI #cs.PL
- MSCCL++: Rethinking GPU Communication Abstractions for Cutting-edge AI Applications
2025/04/11 by Shah, Aashaka, Jangda, Abhinav, Li, Binyang +10 · 6 citations
#Artificial Intelligence (cs.AI) #Distributed #FOS: Computer and information sciences #Parallel #and Cluster Computing (cs.DC)
- A Framework for Fine-Grained Synchronization of Dependent GPU Kernels
2023/05/22 by Jangda, Abhinav, Maleki, Saeed, Dehnavi, Maryam Mehri +2 · 2 citations
#Distributed #FOS: Computer and information sciences #Parallel #and Cluster Computing (cs.DC)
- Accelerating Graph Sampling for Graph Machine Learning using GPUs
2020/09/14 by Abhinav Jangda, Jangda, Abhinav, Sandeep Polisetty +5 · 1 citation
Computer Science · #Advanced Graph Neural Networks #Caching and Content Delivery #Distributed #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG) #Parallel #and Cluster Computing (cs.DC)
- How Many Parameters Does Your Task Really Need? Task Specific Pruning with LLM-Sieve
2025/05/23 by Waleed Reda, Abhinav Jangda, Reda, Waleed +3 · 1 citation
Computer Science · #AI-based Problem Solving and Planning #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #I.2.7 #Intelligent Tutoring Systems and Adaptive Learning #Machine Learning (cs.LG) #Natural Language Processing Techniques
- PEAK: A Performance Engineering AI-Assistant for GPU Kernels Powered by Natural Language Transformations
2025/12/22 by Muhammad Usman Tariq, Abhinav Jangda, Tariq, Muhammad Usman +7 · 1 citation
Computer Science · #Big Data and Digital Economy #Cloud Computing and Resource Management #FOS: Computer and information sciences #Parallel Computing and Optimization Techniques #Software Engineering (cs.SE)