P. Sadayappan

ORCID

Publication Activity (10 Years)

Years Active: 1985-2024
Publications (10 Years): 81

Top Venues

CoRR

IPDPS

ICS

Publications

Ashim Gupta, Sina Mahdipour Saravani, P. Sadayappan, Vivek Srikumar
An Empirical Investigation of Matrix Factorization Methods for Pre-trained Transformers. CoRR (2024)
Tripti Agarwal, Harvey Dam, Dorra Ben Khalifa, Matthieu Martel, P. Sadayappan, Ganesh Gopalakrishnan
What Operations can be Performed Directly on Compressed Arrays, and with What Error? CoRR (2024)
Han D. Tran, Siddharth Saurav, P. Sadayappan, Sandip Mazumder, Hari Sundar
Scalable parallelization for the solution of phonon Boltzmann Transport Equation. ICS (2023)
Lizhi Xiang, Miao Yin, Chengming Zhang, Aravind Sukumaran-Rajam, P. Sadayappan, Bo Yuan, Dingwen Tao
TDC: Towards Extremely Efficient CNNs on GPUs via Hardware-Aware Tucker Decomposition. PPoPP (2023)
Nicolas Tollenaere, Guillaume Iooss, Stéphane Pouget, Hugo Brunie, Christophe Guillon, Albert Cohen, P. Sadayappan, Fabrice Rastello
Autotuning Convolutions Is Easier Than You Think. ACM Trans. Archit. Code Optim. 20 (2) (2023)
Martin Kong, Raneem Abu Yosef, Atanas Rountev, P. Sadayappan
Automatic Generation of Distributed-Memory Mappings for Tensor Computations. SC (2023)
M. Emin Ozturk, Omid Asudeh, Gerald Sabin, P. Sadayappan, Aravind Sukumaran-Rajam
A Performance Portability Study Using Tensor Contraction Benchmarks. IPDPS Workshops (2023)
Süreyya Emre Kurt, Jinghua Yan, Aravind Sukumaran-Rajam, Prashant Pandey, P. Sadayappan
Communication Optimization for Distributed Execution of Graph Neural Networks. IPDPS (2023)
Lizhi Xiang, Miao Yin, Chengming Zhang, Aravind Sukumaran-Rajam, P. Sadayappan, Bo Yuan, Dingwen Tao
TDC: Towards Extremely Efficient CNNs on GPUs via Hardware-Aware Tucker Decomposition. CoRR (2022)
Lizhi Xiang, P. Sadayappan, Aravind Sukumaran-Rajam
High-Performance Architecture Aware Sparse Convolutional Neural Networks for GPUs. PACT (2022)
Yufan Xu, Qiwei Yuan, Erik Curtis Barton, Rui Li, P. Sadayappan, Aravind Sukumaran-Rajam
Effective Performance Modeling and Domain-Specific Compiler Optimization of CNNs for GPUs. PACT (2022)
Miheer Vaidya, Aravind Sukumaran-Rajam, Atanas Rountev, P. Sadayappan
Comprehensive Accelerator-Dataflow Co-design Optimization for Convolutional Neural Networks. CGO (2022)
Süreyya Emre Kurt, Saurabh Raje, Aravind Sukumaran-Rajam, P. Sadayappan
Sparsity-Aware Tensor Decomposition. IPDPS (2022)
Yufan Xu, Saurabh Raje, Atanas Rountev, Gerald Sabin, Aravind Sukumaran-Rajam, P. Sadayappan
Training of deep learning pipelines on memory-constrained GPUs via segmented fused-tiled execution. CC (2022)
Paolo Bientinesi, David A. Ham, Furong Huang, Paul H. J. Kelly, P. Sadayappan, Edward Stow
Tensor Computations: Applications and Optimization (Dagstuhl Seminar 22101). Dagstuhl Reports 12 (3) (2022)
Rui Li, Yufan Xu, Aravind Sukumaran-Rajam, Atanas Rountev, P. Sadayappan
Efficient Distributed Algorithms for Convolutional Neural Networks. SPAA (2021)
Auguste Olivry, Guillaume Iooss, Nicolas Tollenaere, Atanas Rountev, P. Sadayappan, Fabrice Rastello
IOOpt: automatic derivation of I/O complexity bounds for affine programs. PLDI (2021)
Rui Li, Yufan Xu, Aravind Sukumaran-Rajam, Atanas Rountev, P. Sadayappan
Efficient distributed algorithms for Convolutional Neural Networks. CoRR (2021)
Rui Li, Yufan Xu, Aravind Sukumaran-Rajam, Atanas Rountev, P. Sadayappan
Analytical Characterization and Design Space Exploration for Optimization of CNNs. CoRR (2021)
Rui Li, Yufan Xu, Aravind Sukumaran-Rajam, Atanas Rountev, P. Sadayappan
Analytical characterization and design space exploration for optimization of CNNs. ASPLOS (2021)
Auguste Olivry, Julien Langou, Louis-Noël Pouchet, P. Sadayappan, Fabrice Rastello
Automated derivation of parametric data movement lower bounds for affine programs. PLDI (2020)
Gordon Euhyun Moon, J. Austin Ellis, Aravind Sukumaran-Rajam, Srinivasan Parthasarathy, P. Sadayappan
ALO-NMF: Accelerated Locality-Optimized Non-negative Matrix Factorization. KDD (2020)
Jinsung Kim, Ajay Panyala, Bo Peng, Karol Kowalski, P. Sadayappan, Sriram Krishnamoorthy
Scalable heterogeneous execution of a coupled-cluster model with perturbative triples. SC (2020)
Süreyya Emre Kurt, Aravind Sukumaran-Rajam, Fabrice Rastello, P. Sadayappan
Efficient tiled sparse matrix multiplication through matrix signatures. SC (2020)
Auguste Olivry, Julien Langou, Louis-Noël Pouchet, P. Sadayappan, Fabrice Rastello
Automated Derivation of Parametric Data Movement Lower Bounds for Affine Programs. CoRR (2019)
Israt Nisa, Jiajia Li, Aravind Sukumaran-Rajam, Richard W. Vuduc, P. Sadayappan
Load-Balanced Sparse MTTKRP on GPUs. CoRR (2019)
Jiankai Sun, Bortik Bandyopadhyay, Armin Bashizade, Jiongqian Liang, P. Sadayappan, Srinivasan Parthasarathy
ATP: Directed Graph Embedding with Asymmetric Transitivity Preservation. AAAI (2019)
Prashant Singh Rawat, Miheer Vaidya, Aravind Sukumaran-Rajam, Atanas Rountev, Louis-Noël Pouchet, P. Sadayappan
On Optimizing Complex Stencils on GPUs. IPDPS (2019)
Rui Li, Aravind Sukumaran-Rajam, Richard Veras, Tze Meng Low, Fabrice Rastello, Atanas Rountev, P. Sadayappan
Analytical cache modeling and tilesize optimization for tensor contractions. SC (2019)
Israt Nisa, Jiajia Li, Aravind Sukumaran-Rajam, Richard W. Vuduc, P. Sadayappan
Load-Balanced Sparse MTTKRP on GPUs. IPDPS (2019)
Gordon Euhyun Moon, Aravind Sukumaran-Rajam, Srinivasan Parthasarathy, P. Sadayappan
PL-NMF: Parallel Locality-Optimized Non-negative Matrix Factorization. CoRR (2019)
Gordon Euhyun Moon, Denis Newman-Griffis, Jinsung Kim, Aravind Sukumaran-Rajam, Eric Fosler-Lussier, P. Sadayappan
Parallel Data-Local Training for Optimizing Word2Vec Embeddings for Word and Graph Embeddings. MLHPC@SC (2019)
Changwan Hong, Aravind Sukumaran-Rajam, Israt Nisa, Kunal Singh, P. Sadayappan
Adaptive sparse tiling for sparse matrix multiplication. PPoPP (2019)
Jinsung Kim, Aravind Sukumaran-Rajam, Vineeth Thumma, Sriram Krishnamoorthy, Ajay Panyala, Louis-Noël Pouchet, Atanas Rountev, P. Sadayappan
A Code Generator for High-Performance Tensor Contractions on GPUs. CGO (2019)
Israt Nisa, Jiajia Li, Aravind Sukumaran-Rajam, Prashant Singh Rawat, Sriram Krishnamoorthy, P. Sadayappan
An efficient mixed-mode representation of sparse tensors. SC (2019)
Wenlei Bao, Sriram Krishnamoorthy, Louis-Noël Pouchet, P. Sadayappan
Analytical modeling of cache behavior for affine programs. Proc. ACM Program. Lang. 2 (POPL) (2018)
Changwan Hong, Aravind Sukumaran-Rajam, Jinsung Kim, Prashant Singh Rawat, Sriram Krishnamoorthy, Louis-Noël Pouchet, Fabrice Rastello, P. Sadayappan
Performance modeling for GPUs using abstract kernel emulation. PPOPP (2018)
Jyothi Vedurada, Arjun Suresh, Aravind Sukumaran-Rajam, Jinsung Kim, Changwan Hong, Ajay Panyala, Sriram Krishnamoorthy, V. Krishna Nandivada, Rohit Kumar Srivastava, P. Sadayappan
TTLG - An Efficient Tensor Transposition Library for GPUs. IPDPS (2018)
Prashant Singh Rawat, Aravind Sukumaran-Rajam, Atanas Rountev, Fabrice Rastello, Louis-Noël Pouchet, P. Sadayappan
Associative instruction reordering to alleviate register pressure. SC (2018)
Gordon Euhyun Moon, Israt Nisa, Aravind Sukumaran-Rajam, Bortik Bandyopadhyay, Srinivasan Parthasarathy, P. Sadayappan
Parallel Latent Dirichlet Allocation on GPUs. ICCS (2) (2018)
Israt Nisa, Aravind Sukumaran-Rajam, Süreyya Emre Kurt, Changwan Hong, P. Sadayappan
Sampled Dense Matrix Multiplication for High-Performance Machine Learning. HiPC (2018)
Prashant Singh Rawat, Fabrice Rastello, Aravind Sukumaran-Rajam, Louis-Noël Pouchet, Atanas Rountev, P. Sadayappan
Register optimizations for stencils on GPUs. PPOPP (2018)
Israt Nisa, Charles Siegel, Aravind Sukumaran-Rajam, Abhinav Vishnu, P. Sadayappan
Effective Machine Learning Based Format Selection and Performance Modeling for SpMV on GPUs. IPDPS Workshops (2018)
Jiankai Sun, Bortik Bandyopadhyay, Armin Bashizade, Jiongqian Liang, P. Sadayappan, Srinivasan Parthasarathy
ATP: Directed Graph Embedding with Asymmetric Transitivity Preservation. CoRR (2018)
Changwan Hong, Aravind Sukumaran-Rajam, Jinsung Kim, Prashant Singh Rawat, Sriram Krishnamoorthy, Louis-Noël Pouchet, Fabrice Rastello, P. Sadayappan
GPU code optimization using abstract kernel emulation and sensitivity analysis. PLDI (2018)
Jinsung Kim, Aravind Sukumaran-Rajam, Changwan Hong, Ajay Panyala, Rohit Kumar Srivastava, Sriram Krishnamoorthy, P. Sadayappan
Optimizing Tensor Contractions in CCSD(T) for Efficient Execution on GPUs. ICS (2018)
Changwan Hong, Aravind Sukumaran-Rajam, Bortik Bandyopadhyay, Jinsung Kim, Süreyya Emre Kurt, Israt Nisa, Shivani Sabhlok, Ümit V. Çatalyürek, Srinivasan Parthasarathy, P. Sadayappan
Efficient sparse-matrix multi-vector product on GPUs. HPDC (2018)
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) (2018)
Israt Nisa, Aravind Sukumaran-Rajam, Rakshith Kunchum, P. Sadayappan
Parallel CCD++ on GPU for Matrix Factorization. GPGPU@PPoPP (2017)
Samyam Rajbhandari, Fabrice Rastello, Karol Kowalski, Sriram Krishnamoorthy, P. Sadayappan
Optimizing the Four-Index Integral Transform Using Data Movement Lower Bounds Analysis. PPOPP (2017)
Changwan Hong, Aravind Sukumaran-Rajam, Jinsung Kim, P. Sadayappan
MultiGraph: Efficient Graph Processing on GPUs. PACT (2017)
Süreyya Emre Kurt, Vineeth Thumma, Changwan Hong, Aravind Sukumaran-Rajam, P. Sadayappan
Characterization of Data Movement Requirements for Sparse Matrix Computations on GPUs. HiPC (2017)
Gordon Euhyun Moon, Aravind Sukumaran-Rajam, P. Sadayappan
Parallel LDA with Over-Decomposition. HiPC Workshops (2017)
Wenlei Bao, Prashant Singh Rawat, Martin Kong, Sriram Krishnamoorthy, Louis-Noël Pouchet, P. Sadayappan
Efficient Cache Simulation for Affine Computations. LCPC (2017)
Rakshith Kunchum, Ankur Chaudhry, Aravind Sukumaran-Rajam, Qingpeng Niu, Israt Nisa, P. Sadayappan
On improving performance of sparse matrix-matrix multiplication on GPUs. ICS (2017)
Prashant Singh Rawat, Aravind Sukumaran-Rajam, Atanas Rountev, Fabrice Rastello, Louis-Noël Pouchet, P. Sadayappan
POSTER: Statement Reordering to Alleviate Register Pressure for Stencils on GPUs. PACT (2017)
Rajkumar Kettimuthu, Gagan Agrawal, P. Sadayappan, Ian T. Foster
Differentiated Scheduling of Response-Critical and Best-Effort Wide-Area Data Transfers. IPDPS (2016)
Martin Kong, Louis-Noël Pouchet, P. Sadayappan, Vivek Sarkar
PIPES: a language and compiler for task-based programming on distributed-memory clusters. SC (2016)
Lukasz Domagala, Duco van Amstel, Fabrice Rastello, P. Sadayappan
Register allocation and promotion through combined instruction scheduling and loop unrolling. CC (2016)
Qingpeng Niu, James Dinan, Sravya Tirukkovalur, Anouar Benali, Jeongnim Kim, Lubos Mitas, Lucas K. Wagner, P. Sadayappan
Global-view coefficients: a data management solution for parallel quantum Monte Carlo applications. Concurr. Comput. Pract. Exp. 28 (13) (2016)
Wenlei Bao, Sriram Krishnamoorthy, Louis-Noël Pouchet, Fabrice Rastello, P. Sadayappan
PolyCheck: dynamic verification of iteration space transformations on affine programs. POPL (2016)
Humayun Arafat, James Dinan, Sriram Krishnamoorthy, Pavan Balaji, P. Sadayappan
Work stealing for GPU-accelerated parallel programs in a global address space framework. Concurr. Comput. Pract. Exp. 28 (13) (2016)
Sanket Tavarageri, Wooil Kim, Josep Torrellas, P. Sadayappan
Compiler Support for Software Cache Coherence. HiPC (2016)
Samyam Rajbhandari, Jinsung Kim, Sriram Krishnamoorthy, Louis-Noël Pouchet, Fabrice Rastello, Robert J. Harrison, P. Sadayappan
A domain-specific compiler for a parallel multiresolution adaptive numerical simulation environment. SC (2016)
Wooil Kim, Sanket Tavarageri, P. Sadayappan, Josep Torrellas
Architecting and Programming a Hardware-Incoherent Multiprocessor Cache Hierarchy. IPDPS (2016)
Samyam Rajbhandari, Jinsung Kim, Sriram Krishnamoorthy, Louis-Noël Pouchet, Fabrice Rastello, Robert J. Harrison, P. Sadayappan
On fusing recursive traversals of K-d trees. CC (2016)
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)
Changwan Hong, Wenlei Bao, Albert Cohen, Sriram Krishnamoorthy, Louis-Noël Pouchet, Fabrice Rastello, J. Ramanujam, P. Sadayappan
Effective padding of multidimensional arrays to avoid cache conflict misses. PLDI (2016)
Timothy Carpenter, Fabrice Rastello, P. Sadayappan, Anastasios Sidiropoulos
Brief Announcement: Approximating the I/O Complexity of One-Shot Red-Blue Pebbling. SPAA (2016)
Wenlei Bao, Changwan Hong, Sudheer Chunduri, Sriram Krishnamoorthy, Louis-Noël Pouchet, Fabrice Rastello, P. Sadayappan
Static and Dynamic Frequency Scaling on Multicore CPUs. ACM Trans. Archit. Code Optim. 13 (4) (2016)
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)
Keshav Pingali, J. Ramanujam, P. Sadayappan
Introduction to the Special Issue on PPoPP'12. ACM Trans. Parallel Comput. 1 (2) (2015)
Prashant Singh Rawat, Martin Kong, Thomas Henretty, Justin Holewinski, Kevin Stock, Louis-Noël Pouchet, J. Ramanujam, Atanas Rountev, P. Sadayappan
SDSLc: a multi-target domain-specific compiler for stencil computations. WOLFHPC@SC (2015)
Naznin Fauzia, Louis-Noël Pouchet, P. Sadayappan
Characterizing and enhancing global memory data coalescing on GPUs. CGO (2015)
Tobias Grosser, Jagannathan Ramanujam, Louis-Noël Pouchet, P. Sadayappan, Sebastian Pop
Optimistic Delinearization of Parametrically Sized Arrays. ICS (2015)
Venmugil Elango, Fabrice Rastello, Louis-Noël Pouchet, J. Ramanujam, P. Sadayappan
On Characterizing the Data Access Complexity of Programs. POPL (2015)
Rajkumar Kettimuthu, Gayane Vardoyan, Gagan Agrawal, P. Sadayappan, Ian T. Foster
An elegant sufficiency: load-aware differentiated scheduling of data transfers. SC (2015)
Naser Sedaghati, Te Mu, Louis-Noël Pouchet, Srinivasan Parthasarathy, P. Sadayappan
Automatic Selection of Sparse Matrix Representation on GPUs. ICS (2015)
Mahesh Ravishankar, Roshan Dathathri, Venmugil Elango, Louis-Noël Pouchet, J. Ramanujam, Atanas Rountev, P. Sadayappan
Distributed memory code generation for mixed Irregular/Regular computations. PPOPP (2015)
Arash Ashari, Naser Sedaghati, John Eisenlohr, P. Sadayappan
A model-driven blocking strategy for load balanced sparse matrix-vector multiplication on GPUs. J. Parallel Distributed Comput. 76 (2015)
Arash Ashari, Shirish Tatikonda, Matthias Boehm, Berthold Reinwald, Keith Campbell, John Keenleyside, P. Sadayappan
On optimizing machine learning workloads via kernel fusion. PPOPP (2015)
Arash Ashari, Naser Sedaghati, John Eisenlohr, Srinivasan Parthasarathy, P. Sadayappan
Fast Sparse Matrix-Vector Multiplication on GPUs for Graph Applications. SC (2014)
Rajkumar Kettimuthu, Gayane Vardoyan, Gagan Agrawal, P. Sadayappan
Modeling and Optimizing Large-Scale Wide-Area Data Transfers. CCGRID (2014)
Venmugil Elango, Fabrice Rastello, Louis-Noël Pouchet, J. Ramanujam, P. Sadayappan
On Characterizing the Data Movement Complexity of Computational DAGs for Parallel Execution. CoRR (2014)
Arash Ashari, Naser Sedaghati, John Eisenlohr, P. Sadayappan
An efficient two-dimensional blocking strategy for sparse matrix-vector multiplication on GPUs. ICS (2014)
Venmugil Elango, Fabrice Rastello, Louis-Noël Pouchet, J. Ramanujam, P. Sadayappan
On Characterizing the Data Access Complexity of Programs. CoRR (2014)
Naznin Fauzia, Venmugil Elango, Mahesh Ravishankar, J. Ramanujam, Fabrice Rastello, Atanas Rountev, Louis-Noël Pouchet, P. Sadayappan
Beyond Reuse Distance Analysis: Dynamic Analysis for Characterization of Data Locality Potential. CoRR (2014)
Shoaib Kamil, Saman P. Amarasinghe, P. Sadayappan
WOSC 2014: second workshop on optimizing stencil computations. SPLASH (Companion Volume) (2014)
Samyam Rajbhandari, Akshay Nikam, Pai-Wei Lai, Kevin Stock, Sriram Krishnamoorthy, P. Sadayappan
CAST: Contraction Algorithm for Symmetric Tensors. ICPP (2014)
Venmugil Elango, Fabrice Rastello, Louis-Noël Pouchet, J. Ramanujam, P. Sadayappan
On characterizing the data movement complexity of computational DAGs for parallel execution. SPAA (2014)
Venmugil Elango, Naser Sedaghati, Fabrice Rastello, Louis-Noël Pouchet, J. Ramanujam, Radu Teodorescu, P. Sadayappan
On Using the Roofline Model with Lower Bounds on Data Movement. ACM Trans. Archit. Code Optim. 11 (4) (2014)
S. M. Faisal, Srinivasan Parthasarathy, P. Sadayappan
Global graphs: A middleware for large scale graph processing. IEEE BigData (2014)
Lukasz Domagala, Fabrice Rastello, P. Sadayappan, Duco van Amstel
A Tiling Perspective for Register Optimization. CoRR (2014)
Sanket Tavarageri, Sriram Krishnamoorthy, P. Sadayappan
Compiler-assisted detection of transient memory errors. PLDI (2014)
Mahesh Ravishankar, John Eisenlohr, Louis-Noël Pouchet, J. Ramanujam, Atanas Rountev, P. Sadayappan
Automatic parallelization of a class of irregular loops for distributed memory systems. ACM Trans. Parallel Comput. 1 (1) (2014)
Tobias Grosser, Sven Verdoolaege, Albert Cohen, P. Sadayappan
The Relation Between Diamond Tiling and Hexagonal Tiling. Parallel Process. Lett. 24 (3) (2014)
Humayun Arafat, Sriram Krishnamoorthy, P. Sadayappan
Checksumming Strategies for Data in Volatile Memories. ICPP Workshops (2014)
Sriram Krishnamoorthy, J. Ramanujam, P. Sadayappan
Introduction to the JPDC Special Issue on Domain-Specific Languages and High-Level Frameworks for High-Performance Computing. J. Parallel Distributed Comput. 74 (12) (2014)
Kevin Stock, Martin Kong, Tobias Grosser, Louis-Noël Pouchet, Fabrice Rastello, J. Ramanujam, P. Sadayappan
A framework for enhancing data reuse via associative reordering. PLDI (2014)
Samyam Rajbhandari, Akshay Nikam, Pai-Wei Lai, Kevin Stock, Sriram Krishnamoorthy, P. Sadayappan
A Communication-Optimal Framework for Contracting Distributed Tensors. SC (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

P. Sadayappan