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ORCIDVinod Grover
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2020 – today
- 2023
[c21]Bastian Hagedorn, Bin Fan, Hanfeng Chen, Cris Cecka, Michael Garland, Vinod Grover:
Graphene: An IR for Optimized Tensor Computations on GPUs. ASPLOS (3) 2023: 302-313- 2022
- [i5]Alexander Collins, Vinod Grover:
Axon: A Language for Dynamic Shapes in Deep Learning Graphs. CoRR abs/2210.02374 (2022) - 2020
- [c20]Bastian Hagedorn, Archibald Samuel Elliott, Henrik Barthels, Rastislav Bodík, Vinod Grover:
Fireiron: A Data-Movement-Aware Scheduling Language for GPUs. PACT 2020: 71-82 - [i4]Bastian Hagedorn, Archibald Samuel Elliott, Henrik Barthels, Rastislav Bodík, Vinod Grover:
Fireiron: A Scheduling Language for High-Performance Linear Algebra on GPUs. CoRR abs/2003.06324 (2020) - [i3]Somashekaracharya G. Bhaskaracharya, Julien Demouth, Vinod Grover:
Automatic Kernel Generation for Volta Tensor Cores. CoRR abs/2006.12645 (2020) - [i2]Alexander Collins, Vinod Grover:
Probabilistic Programming with CuPPL. CoRR abs/2010.08454 (2020)
2010 – 2019
- 2019
- [c19]Phitchaya Mangpo Phothilimthana, Archibald Samuel Elliott, An Wang, Abhinav Jangda, Bastian Hagedorn, Henrik Barthels, Samuel J. Kaufman, Vinod Grover, Emina Torlak, Rastislav Bodík:
Swizzle Inventor: Data Movement Synthesis for GPU Kernels. ASPLOS 2019: 65-78 - [i1]Mahesh Ravishankar, Vinod Grover:
Automatic acceleration of Numpy applications on GPUs and multicore CPUs. CoRR abs/1901.03771 (2019) - 2018
- [j1]Prashant Singh Rawat
, Miheer Vaidya, Aravind Sukumaran-Rajam, Mahesh Ravishankar, Vinod Grover, Atanas Rountev, Louis-Noël Pouchet, P. Sadayappan:
Domain-Specific Optimization and Generation of High-Performance GPU Code for Stencil Computations. Proc. IEEE 106(11): 1902-1920 (2018) - [c18]Venmugil Elango, Norm Rubin, Mahesh Ravishankar, Hariharan Sandanagobalane, Vinod Grover:
Diesel: DSL for linear algebra and neural net computations on GPUs. MAPL@PLDI 2018: 42-51 - [c17]Yuanfeng Peng, Vinod Grover, Joseph Devietti:
CURD: a dynamic CUDA race detector. PLDI 2018: 390-403 - 2016
- [c16]Prashant Singh Rawat, Changwan Hong, Mahesh Ravishankar, Vinod Grover, Louis-Noël Pouchet, Atanas Rountev, P. Sadayappan:
Resource Conscious Reuse-Driven Tiling for GPUs. PACT 2016: 99-111 - [c15]Prashant Singh Rawat, Changwan Hong, Mahesh Ravishankar, Vinod Grover, Louis-Noël Pouchet, P. Sadayappan:
Effective resource management for enhancing performance of 2D and 3D stencils on GPUs. GPGPU@PPoPP 2016: 92-102 - 2015
- [c14]Trevor L. McDonell, Manuel M. T. Chakravarty, Vinod Grover, Ryan R. Newton:
Type-safe runtime code generation: accelerate to LLVM. Haskell 2015: 201-212 - [c13]Mahesh Ravishankar, Paulius Micikevicius, Vinod Grover:
Fusing convolution kernels through tiling. ARRAY@PLDI 2015: 43-48 - [c12]Mahesh Ravishankar, Justin Holewinski, Vinod Grover:
Forma: a DSL for image processing applications to target GPUs and multi-core CPUs. GPGPU@PPoPP 2015: 109-120 - 2014
- [c11]Thibaut Lutz, Vinod Grover:
LambdaJIT: a dynamic compiler for heterogeneous optimizations of STL algorithms. FHPC@ICFP 2014: 99-108 - [c10]Yunsup Lee, Vinod Grover, Ronny Krashinsky, Mark Stephenson, Stephen W. Keckler, Krste Asanovic:
Exploring the Design Space of SPMD Divergence Management on Data-Parallel Architectures. MICRO 2014: 101-113 - [c9]Alexander Collins, Dominik Grewe, Vinod Grover, Sean Lee, Adriana Susnea:
NOVA: A Functional Language for Data Parallelism. ARRAY@PLDI 2014: 8-13 - 2013
- [c8]Yunsup Lee, Ronny Krashinsky, Vinod Grover, Stephen W. Keckler, Krste Asanovic:
Convergence and scalarization for data-parallel architectures. CGO 2013: 32:1-32:11 - [c7]Tyler Sorensen, Ganesh Gopalakrishnan, Vinod Grover:
Towards shared memory consistency models for GPUs. ICS 2013: 489-490 - [c6]Mike Murphy, Jaydeep Marathe, Girish Bharambe, Sean Lee, Vinod Grover:
Separate Compilation in a Language-Integrated Heterogeneous Environment. LCPC 2013: 121-135 - 2012
- [c5]Wojciech Zaremba, Yuan Lin, Vinod Grover:
JaBEE: framework for object-oriented Java bytecode compilation and execution on graphics processor units. GPGPU@ASPLOS 2012: 74-83 - [c4]Gautam Chakrabarti, Vinod Grover, Bastiaan Aarts, Xiangyun Kong, Manjunath Kudlur, Yuan Lin, Jaydeep Marathe, Mike Murphy, Jian-Zhong Wang:
CUDA: Compiling and optimizing for a GPU platform. ICCS 2012: 1910-1919 - [p1]Michael Garland, Vinod Grover, Kevin Skadron:
Scalable Manycore Computing with CUDA. Fundamentals of Multicore Software Development 2012: 1-24 - 2011
- [c3]Manuel M. T. Chakravarty, Gabriele Keller, Sean Lee, Trevor L. McDonell, Vinod Grover:
Accelerating Haskell array codes with multicore GPUs. DAMP 2011: 3-14 - 2010
- [c2]John A. Stratton, Vinod Grover, Jaydeep Marathe, Bastiaan Aarts, Mike Murphy, Ziang Hu, Wen-mei W. Hwu:
Efficient compilation of fine-grained SPMD-threaded programs for multicore CPUs. CGO 2010: 111-119
2000 – 2009
- 2008
- [c1]Karthik Pattabiraman, Vinod Grover, Benjamin G. Zorn:
Samurai: protecting critical data in unsafe languages. EuroSys 2008: 219-232
Coauthor Index
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