Vinod Grover - RankMe

43 papers A* 3A 6B 4C 1Misc 1Journal 15Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AVO: Agentic Variation Operators for Autonomous Evolutionary Search. CoRR 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
2026	B	`conf`	It's about Time: Temporal Abstractions for Asynchronous GPU Tensor Computations. CC Bastian Hagedorn, Vinod Grover
2026	B	`conf`	Nsight Python: A Python-First Profiling Toolkit for Seamless GPU Kernel Analysis (Tool). CC Bastian Hagedorn, Alexander Collins, Tony Mongkolsmai, Vinod Grover
2026	J	`jnl`	SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits. CoRR 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
2026	A	`conf`	Tawa: Automatic Warp Specialization for Modern GPUs with Asynchronous References. CGO Hongzheng Chen, Bin Fan, Alexander Collins, Bastian Hagedorn, Evghenii Gaburov, Masahiro Masuda, Matthew Brookhart, Chris Sullivan, Jason Knight, Zhiru Zhang, Vinod Grover
2026	J	`jnl`	VibeTensor: System Software for Deep Learning, Fully Generated by AI Agents. CoRR 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
2025	J	`jnl`	A Performance Model for Warp Specialization Kernels. CoRR Zhengyang Liu, Vinod Grover
2025	—	`conf`	FlashInfer: Efficient and Customizable Attention Engine for LLM Inference Serving. MLSys Zihao Ye, Lequn Chen, Ruihang Lai, Wuwei Lin, Yineng Zhang, Stephanie Wang, Tianqi Chen, Baris Kasikci, Vinod Grover, Arvind Krishnamurthy, Luis Ceze
2025	J	`jnl`	FlashInfer: Efficient and Customizable Attention Engine for LLM Inference Serving. CoRR Zihao Ye, Lequn Chen, Ruihang Lai, Wuwei Lin, Yineng Zhang, Stephanie Wang, Tianqi Chen, Baris Kasikci, Vinod Grover, Arvind Krishnamurthy, Luis Ceze
2025	J	`jnl`	Modeling Layout Abstractions Using Integer Set Relations. CoRR Somashekaracharya G. Bhaskaracharya, Aravind Acharya, Bastian Hagedorn, Vinod Grover
2025	A	`conf`	Pattern Matching in AI Compilers and Its Formalization. CGO Joseph W. Cutler, Alex Collins, Bin Fan, Mahesh Ravishankar, Vinod Grover
2025	—	`conf`	Scaling Deep Learning Training with MPMD Pipeline Parallelism. MLSys Anxhelo Xhebraj, Sean Lee, Hanfeng Chen, Vinod Grover
2025	J	`jnl`	Tawa: Automatic Warp Specialization for Modern GPUs with Asynchronous References. CoRR Hongzheng Chen, Bin Fan, Alexander Collins, Bastian Hagedorn, Evghenii Gaburov, Masahiro Masuda, Matthew Brookhart, Chris Sullivan, Jason Knight, Zhiru Zhang, Vinod Grover
2024	J	`jnl`	Pattern Matching in AI Compilers and its Formalization (Extended Version). CoRR Joseph W. Cutler, Alex Collins, Bin Fan, Mahesh Ravishankar, Vinod Grover
2024	J	`jnl`	Scaling Deep Learning Training with MPMD Pipeline Parallelism. CoRR Anxhelo Xhebraj, Sean Lee, Hanfeng Chen, Vinod Grover
2023	—	`conf`	Graphene: An IR for Optimized Tensor Computations on GPUs. ASPLOS (3) Bastian Hagedorn, Bin Fan, Hanfeng Chen, Cris Cecka, Michael Garland, Vinod Grover
2022	J	`jnl`	Axon: A Language for Dynamic Shapes in Deep Learning Graphs. CoRR Alexander Collins, Vinod Grover
2020	J	`jnl`	Automatic Kernel Generation for Volta Tensor Cores. CoRR Somashekaracharya G. Bhaskaracharya, Julien Demouth, Vinod Grover
2020	B	`conf`	Fireiron: A Data-Movement-Aware Scheduling Language for GPUs. PACT Bastian Hagedorn, Archibald Samuel Elliott, Henrik Barthels, Rastislav Bodík, Vinod Grover
2020	J	`jnl`	Fireiron: A Scheduling Language for High-Performance Linear Algebra on GPUs. CoRR Bastian Hagedorn, Archibald Samuel Elliott, Henrik Barthels, Rastislav Bodík, Vinod Grover
2020	J	`jnl`	Probabilistic Programming with CuPPL. CoRR Alexander Collins, Vinod Grover
2019	J	`jnl`	Automatic acceleration of Numpy applications on GPUs and multicore CPUs. CoRR Mahesh Ravishankar, Vinod Grover
2019	A*	`conf`	Swizzle Inventor: Data Movement Synthesis for GPU Kernels. ASPLOS Phitchaya Mangpo Phothilimthana, Archibald Samuel Elliott, An Wang, Abhinav Jangda, Bastian Hagedorn, Henrik Barthels, Samuel J. Kaufman, Vinod Grover, Emina Torlak, Rastislav Bodík
2018	A*	`conf`	CURD: a dynamic CUDA race detector. PLDI Yuanfeng Peng, Vinod Grover, Joseph Devietti
2018	—	`conf`	Diesel: DSL for linear algebra and neural net computations on GPUs. MAPL@PLDI Venmugil Elango, Norm Rubin, Mahesh Ravishankar, Hariharan Sandanagobalane, Vinod Grover
2018	J	`jnl`	Domain-Specific Optimization and Generation of High-Performance GPU Code for Stencil Computations. Proc. IEEE Prashant Singh Rawat, Miheer Vaidya, Aravind Sukumaran-Rajam, Mahesh Ravishankar, Vinod Grover, Atanas Rountev, Louis-Noël Pouchet, P. Sadayappan
2016	—	`conf`	Effective resource management for enhancing performance of 2D and 3D stencils on GPUs. GPGPU@PPoPP Prashant Singh Rawat, Changwan Hong, Mahesh Ravishankar, Vinod Grover, Louis-Noël Pouchet, P. Sadayappan
2016	B	`conf`	Resource Conscious Reuse-Driven Tiling for GPUs. PACT Prashant Singh Rawat, Changwan Hong, Mahesh Ravishankar, Vinod Grover, Louis-Noël Pouchet, Atanas Rountev, P. Sadayappan
2015	—	`conf`	Forma: a DSL for image processing applications to target GPUs and multi-core CPUs. GPGPU@PPoPP Mahesh Ravishankar, Justin Holewinski, Vinod Grover
2015	—	`conf`	Fusing convolution kernels through tiling. ARRAY@PLDI Mahesh Ravishankar, Paulius Micikevicius, Vinod Grover
2015	C	`conf`	Type-safe runtime code generation: accelerate to LLVM. Haskell Trevor L. McDonell, Manuel M. T. Chakravarty, Vinod Grover, Ryan R. Newton
2014	A*	`conf`	Exploring the Design Space of SPMD Divergence Management on Data-Parallel Architectures. MICRO Yunsup Lee, Vinod Grover, Ronny Krashinsky, Mark Stephenson, Stephen W. Keckler, Krste Asanovic
2014	—	`conf`	LambdaJIT: a dynamic compiler for heterogeneous optimizations of STL algorithms. FHPC@ICFP Thibaut Lutz, Vinod Grover
2014	—	`conf`	NOVA: A Functional Language for Data Parallelism. ARRAY@PLDI Alexander Collins, Dominik Grewe, Vinod Grover, Sean Lee, Adriana Susnea
2013	A	`conf`	Convergence and scalarization for data-parallel architectures. CGO Yunsup Lee, Ronny Krashinsky, Vinod Grover, Stephen W. Keckler, Krste Asanovic
2013	—	`conf`	Separate Compilation in a Language-Integrated Heterogeneous Environment. LCPC Mike Murphy, Jaydeep Marathe, Girish Bharambe, Sean Lee, Vinod Grover
2013	A	`conf`	Towards shared memory consistency models for GPUs. ICS Tyler Sorensen, Ganesh Gopalakrishnan, Vinod Grover
2012	Misc	`conf`	CUDA: Compiling and optimizing for a GPU platform. ICCS Gautam Chakrabarti, Vinod Grover, Bastiaan Aarts, Xiangyun Kong, Manjunath Kudlur, Yuan Lin, Jaydeep Marathe, Mike Murphy, Jian-Zhong Wang
2012	—	`conf`	JaBEE: framework for object-oriented Java bytecode compilation and execution on graphics processor units. GPGPU@ASPLOS Wojciech Zaremba, Yuan Lin, Vinod Grover
2012	—	`ch.`	Scalable Manycore Computing with CUDA. Fundamentals of Multicore Software Development Michael Garland, Vinod Grover, Kevin Skadron
2011	—	`conf`	Accelerating Haskell array codes with multicore GPUs. DAMP Manuel M. T. Chakravarty, Gabriele Keller, Sean Lee, Trevor L. McDonell, Vinod Grover
2010	A	`conf`	Efficient compilation of fine-grained SPMD-threaded programs for multicore CPUs. CGO John A. Stratton, Vinod Grover, Jaydeep Marathe, Bastiaan Aarts, Mike Murphy, Ziang Hu, Wen-mei W. Hwu
2008	A	`conf`	Samurai: protecting critical data in unsafe languages. EuroSys Karthik Pattabiraman, Vinod Grover, Benjamin G. Zorn