Vinod Grover

According to our database, Vinod Grover authored at least 41 papers between 2008 and 2026.

Collaborative distances:

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

2026

Event Tensor: A Unified Abstraction for Compiling Dynamic Megakernel.

Hongyi Jin, Bohan Hou, Guanjie Wang, Ruihang Lai, Jinqi Chen, Zihao Ye, Yaxing Cai, Yixin Dong, Xinhao Cheng, Zhihao Zhang, Yilong Zhao, Yingyi Huang, Lijie Yang, Jinchen Jiang, Gabriele Oliaro, Jianan Ji, Xupeng Miao, Vinod Grover, Todd C. Mowry, Zhihao Jia, Tianqi Chen

CoRR, April, 2026

AVO: Agentic Variation Operators for Autonomous Evolutionary Search.

Terry Chen, Zhifan Ye, Bing Xu, Zihao Ye, Timmy Liu, Ali Hassani, Tianqi Chen, Andrew Kerr, Haicheng Wu, Yang Xu, Yu-Jung Chen, Hanfeng Chen, Aditya Kane, Ronny Krashinsky, Ming-Yu Liu, Vinod Grover, Luis Ceze, Roger A. Bringmann, John Tran, Wei Liu, Fung Xie, Michael Lightstone, Humphrey Shi

CoRR, March, 2026

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits.

Edward Lin, Sahil Modi, Siva Kumar Sastry Hari, Qijing Huang, Zhifan Ye, Nestor Qin, Fengzhe Zhou, Yuan Zhang, Jingquan Wang, Sana Damani, Dheeraj Peri, Ouye Xie, Aditya Kane, Moshe Maor, Michael Behar, Triston Cao, Rishabh Mehta, Vartika Singh, Vikram Sharma Mailthody, Terry Chen, Zihao Ye, Hanfeng Chen, Tianqi Chen, Vinod Grover, Wei Chen, Wei Liu, Eric Chung, Luis Ceze, Roger A. Bringmann, Cyril Zeller, Michael Lightstone, Christos Kozyrakis, Humphrey Shi

CoRR, March, 2026

VibeTensor: System Software for Deep Learning, Fully Generated by AI Agents.

Bing Xu, Terry Chen, Fengzhe Zhou, Tianqi Chen, Yangqing Jia, Vinod Grover, Haicheng Wu, Wei Liu, Craig Wittenbrink, Wen-Mei Hwu, Roger A. Bringmann, Ming-Yu Liu, Luis Ceze, Michael Lightstone, Humphrey Shi

CoRR, January, 2026

Tawa: Automatic Warp Specialization for Modern GPUs with Asynchronous References.

Hongzheng Chen, Bin Fan, Alexander Collins, Bastian Hagedorn, Evghenii Gaburov, Masahiro Masuda, Matthew Brookhart, Chris Sullivan, Jason Knight, Zhiru Zhang, Vinod Grover

Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2026

It's about Time: Temporal Abstractions for Asynchronous GPU Tensor Computations.

Bastian Hagedorn, Vinod Grover

Proceedings of the 35th ACM SIGPLAN International Conference on Compiler Construction, 2026

Nsight Python: A Python-First Profiling Toolkit for Seamless GPU Kernel Analysis (Tool).

Bastian Hagedorn, Alexander Collins, Tony Mongkolsmai, Vinod Grover

Proceedings of the 35th ACM SIGPLAN International Conference on Compiler Construction, 2026

2025

Modeling Layout Abstractions Using Integer Set Relations.

Somashekaracharya G. Bhaskaracharya, Aravind Acharya, Bastian Hagedorn, Vinod Grover

CoRR, November, 2025

A Performance Model for Warp Specialization Kernels.

Zhengyang Liu, Vinod Grover

CoRR, June, 2025

Scaling Deep Learning Training with MPMD Pipeline Parallelism.

Anxhelo Xhebraj, Sean Lee, Hanfeng Chen, Vinod Grover

Proceedings of the Eighth Conference on Machine Learning and Systems, 2025

FlashInfer: Efficient and Customizable Attention Engine for LLM Inference Serving.

Zihao Ye, Lequn Chen, Ruihang Lai, Wuwei Lin, Yineng Zhang, Stephanie Wang, Tianqi Chen, Baris Kasikci, Vinod Grover, Arvind Krishnamurthy, Luis Ceze

Proceedings of the Eighth Conference on Machine Learning and Systems, 2025

Pattern Matching in AI Compilers and Its Formalization.

Joseph W. Cutler, Alex Collins, Bin Fan, Mahesh Ravishankar, Vinod Grover

Proceedings of the 23rd ACM/IEEE International Symposium on Code Generation and Optimization, 2025

2024

Pattern Matching in AI Compilers and its Formalization (Extended Version).

Joseph W. Cutler, Alex Collins, Bin Fan, Mahesh Ravishankar, Vinod Grover

CoRR, 2024

2023

Graphene: An IR for Optimized Tensor Computations on GPUs.

Bastian Hagedorn, Bin Fan, Hanfeng Chen, Cris Cecka, Michael Garland, Vinod Grover

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022

Axon: A Language for Dynamic Shapes in Deep Learning Graphs.

Alexander Collins, Vinod Grover

CoRR, 2022

2020

Probabilistic Programming with CuPPL.

Alexander Collins, Vinod Grover

CoRR, 2020

Automatic Kernel Generation for Volta Tensor Cores.

Somashekaracharya G. Bhaskaracharya, Julien Demouth, Vinod Grover

CoRR, 2020

Fireiron: A Scheduling Language for High-Performance Linear Algebra on GPUs.

Bastian Hagedorn, Archibald Samuel Elliott, Henrik Barthels, Rastislav Bodík, Vinod Grover

CoRR, 2020

Fireiron: A Data-Movement-Aware Scheduling Language for GPUs.

Bastian Hagedorn, Archibald Samuel Elliott, Henrik Barthels, Rastislav Bodík, Vinod Grover

Proceedings of the PACT '20: International Conference on Parallel Architectures and Compilation Techniques, 2020

2019

Automatic acceleration of Numpy applications on GPUs and multicore CPUs.

Mahesh Ravishankar, Vinod Grover

CoRR, 2019

Swizzle Inventor: Data Movement Synthesis for GPU Kernels.

Phitchaya Mangpo Phothilimthana, Archibald Samuel Elliott, An Wang, Abhinav Jangda, Bastian Hagedorn, Henrik Barthels, Samuel J. Kaufman, Vinod Grover, Emina Torlak, Rastislav Bodík

Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems, 2019

2018

Domain-Specific Optimization and Generation of High-Performance GPU Code for Stencil Computations.

Prashant Singh Rawat, Miheer Vaidya, Aravind Sukumaran-Rajam, Mahesh Ravishankar, Vinod Grover, Atanas Rountev, Louis-Noël Pouchet, P. Sadayappan

Proc. IEEE, 2018

CURD: a dynamic CUDA race detector.

Yuanfeng Peng, Vinod Grover, Joseph Devietti

Proceedings of the 39th ACM SIGPLAN Conference on Programming Language Design and Implementation, 2018

Diesel: DSL for linear algebra and neural net computations on GPUs.

Venmugil Elango, Norm Rubin, Mahesh Ravishankar, Hariharan Sandanagobalane, Vinod Grover

Proceedings of the 2nd ACM SIGPLAN International Workshop on Machine Learning and Programming Languages, 2018

2016

Effective resource management for enhancing performance of 2D and 3D stencils on GPUs.

Prashant Singh Rawat, Changwan Hong, Mahesh Ravishankar, Vinod Grover, Louis-Noël Pouchet, P. Sadayappan

Proceedings of the 9th Annual Workshop on General Purpose Processing using Graphics Processing Unit, 2016

Resource Conscious Reuse-Driven Tiling for GPUs.

Prashant Singh Rawat, Changwan Hong, Mahesh Ravishankar, Vinod Grover, Louis-Noël Pouchet, Atanas Rountev, P. Sadayappan

Proceedings of the 2016 International Conference on Parallel Architectures and Compilation, 2016

2015

Forma: a DSL for image processing applications to target GPUs and multi-core CPUs.

Mahesh Ravishankar, Justin Holewinski, Vinod Grover

Proceedings of the 8th Workshop on General Purpose Processing using GPUs, 2015

Fusing convolution kernels through tiling.

Mahesh Ravishankar, Paulius Micikevicius, Vinod Grover

Proceedings of the 2nd ACM SIGPLAN International Workshop on Libraries, 2015

Type-safe runtime code generation: accelerate to LLVM.

Trevor L. McDonell, Manuel M. T. Chakravarty, Vinod Grover, Ryan R. Newton

Proceedings of the 8th ACM SIGPLAN Symposium on Haskell, 2015

2014

NOVA: A Functional Language for Data Parallelism.

Alexander Collins, Dominik Grewe, Vinod Grover, Sean Lee, Adriana Susnea

Proceedings of the ARRAY'14: Proceedings of the 2014 ACM SIGPLAN International Workshop on Libraries, 2014

Exploring the Design Space of SPMD Divergence Management on Data-Parallel Architectures.

Yunsup Lee, Vinod Grover, Ronny Krashinsky, Mark Stephenson, Stephen W. Keckler, Krste Asanovic

Proceedings of the 47th Annual IEEE/ACM International Symposium on Microarchitecture, 2014

LambdaJIT: a dynamic compiler for heterogeneous optimizations of STL algorithms.

Thibaut Lutz, Vinod Grover

Proceedings of the 3rd ACM SIGPLAN workshop on Functional high-performance computing, 2014

2013

Separate Compilation in a Language-Integrated Heterogeneous Environment.

Mike Murphy, Jaydeep Marathe, Girish Bharambe, Sean Lee, Vinod Grover

Proceedings of the Languages and Compilers for Parallel Computing, 2013

Towards shared memory consistency models for GPUs.

Tyler Sorensen, Ganesh Gopalakrishnan, Vinod Grover

Proceedings of the International Conference on Supercomputing, 2013

Convergence and scalarization for data-parallel architectures.

Yunsup Lee, Ronny Krashinsky, Vinod Grover, Stephen W. Keckler, Krste Asanovic

Proceedings of the 2013 IEEE/ACM International Symposium on Code Generation and Optimization, 2013

2012

CUDA: Compiling and optimizing for a GPU platform.

Gautam Chakrabarti, Vinod Grover, Bastiaan Aarts, Xiangyun Kong, Manjunath Kudlur, Yuan Lin, Jaydeep Marathe, Mike Murphy, Jian-Zhong Wang

Proceedings of the International Conference on Computational Science, 2012

JaBEE: framework for object-oriented Java bytecode compilation and execution on graphics processor units.

Wojciech Zaremba, Yuan Lin, Vinod Grover

Proceedings of the 5th Annual Workshop on General Purpose Processing with Graphics Processing Units, 2012

Scalable Manycore Computing with CUDA.

Michael Garland, Vinod Grover, Kevin Skadron

Fundamentals of Multicore Software Development, 2012

2011

Accelerating Haskell array codes with multicore GPUs.

Manuel M. T. Chakravarty, Gabriele Keller, Sean Lee, Trevor L. McDonell, Vinod Grover

Proceedings of the POPL 2011 Workshop on Declarative Aspects of Multicore Programming, 2011

2010

Efficient compilation of fine-grained SPMD-threaded programs for multicore CPUs.

John A. Stratton, Vinod Grover, Jaydeep Marathe, Bastiaan Aarts, Mike Murphy, Ziang Hu, Wen-mei W. Hwu

Proceedings of the CGO 2010, 2010

2008

Samurai: protecting critical data in unsafe languages.

Karthik Pattabiraman, Vinod Grover, Benjamin G. Zorn

Proceedings of the 2008 EuroSys Conference, Glasgow, Scotland, UK, April 1-4, 2008, 2008