BOA: A partitioned view of genome assembly von An, Xiaojing, Ghosh, Priyanka, Keppler, Patrick, Kurt, Sureyya Emre, Krishnamoorthy, Sriram, Sadayappan, Ponnuswamy, Rajam, Aravind Sukumaran, Çatalyürek, Ümit V., Kalyanaraman, Ananth

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Domain-Specific Optimization and Generation of High-Performance GPU Code for Stencil Computations von Rawat, Prashant Singh, Vaidya, Miheer, Sukumaran-Rajam, Aravind, Ravishankar, Mahesh, Grover, Vinod, Rountev, Atanas, Pouchet, Louis-Noel, Sadayappan, P.

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Software/Hardware Co-design of 3D NoC-based GPU Architectures for Accelerated Graph Computations von Choudhury, Dwaipayan, Barik, Reet, Rajam, Aravind Sukumaran, Kalyanaraman, Ananth, Pande, Partha Pratim

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Accelerating Graph Computations on 3D NoC-Enabled PIM Architectures von Choudhury, Dwaipayan, Xiang, Lizhi, Rajam, Aravind, Kalyanaraman, Anantharaman, Pande, Partha Pratim

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High-Performance and Energy-Efficient 3D Manycore GPU Architecture for Accelerating Graph Analytics von Choudhury, Dwaipayan, Rajam, Aravind Sukumaran, Kalyanaraman, Ananth, Pande, Partha Pratim

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The Polyhedral Model of Nonlinear Loops von Sukumaran-Rajam, Aravind, Clauss, Philippe

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Beyond the realm of the polyhedral model : combining speculative program parallelization with polyhedral compilation von Sukumaran Rajam, Aravind

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Clog : A Declarative Language for C Static Code Checkers von Dura, Alexandru, Reichenbach, Christoph

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Speculative Program Parallelization with Scalable and Decentralized Runtime Verification von Sukumaran-Rajam, Aravind, Martinez Caamaño, Juan Manuel, Wolff, Willy, Jimborean, Alexandra, Clauss, Philippe

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Parallel Latent Dirichlet Allocation on GPUs von Moon, Gordon E., Nisa, Israt, Sukumaran-Rajam, Aravind, Bandyopadhyay, Bortik, Parthasarathy, Srinivasan, Sadayappan, P.

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Online Dynamic Dependence Analysis for Speculative Polyhedral Parallelization von Jimborean, Alexandra, Clauss, Philippe, Martinez, Juan Manuel, Sukumaran-Rajam, Aravind

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TDC: Towards Extremely Efficient CNNs on GPUs via Hardware-Aware Tucker Decomposition von Xiang, Lizhi, Yin, Miao, Zhang, Chengming, Sukumaran-Rajam, Aravind, Sadayappan, P, Yuan, Bo, Tao, Dingwen

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Register optimizations for stencils on GPUs von Rawat, Prashant Singh, Rastello, Fabrice, Sukumaran-Rajam, Aravind, Pouchet, Louis-Noël, Rountev, Atanas, Sadayappan, P.

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Efficient distributed algorithms for Convolutional Neural Networks von Li, Rui, Xu, Yufan, Sukumaran-Rajam, Aravind, Rountev, Atanas, Sadayappan, P

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Analytical Characterization and Design Space Exploration for Optimization of CNNs von Li, Rui, Xu, Yufan, Sukumaran-Rajam, Aravind, Rountev, Atanas, Sadayappan, P

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PL-NMF: Parallel Locality-Optimized Non-negative Matrix Factorization von Moon, Gordon E, Sukumaran-Rajam, Aravind, Parthasarathy, Srinivasan, Sadayappan, P

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Load-Balanced Sparse MTTKRP on GPUs von Nisa, Israt, Li, Jiajia, Sukumaran-Rajam, Aravind, Vuduc, Richard, Sadayappan, P

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GPU code optimization using abstract kernel emulation and sensitivity analysis von Hong, Changwan, Sukumaran-Rajam, Aravind, Kim, Jinsung, Rawat, Prashant Singh, Krishnamoorthy, Sriram, Pouchet, Louis-Noël, Rastello, Fabrice, Sadayappan, P.

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Performance modeling for GPUs using abstract kernel emulation von Hong, Changwan, Sukumaran-Rajam, Aravind, Kim, Jinsung, Rawat, Prashant Singh, Krishnamoorthy, Sriram, Pouchet, Louis-Noël, Rastello, Fabrice, Sadayappan, P.

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PL-NMF: Parallel Locality-Optimized Non-negative Matrix Factorization von Moon, Gordon E, Sukumaran-Rajam, Aravind, Parthasarathy, Srinivasan, Sadayappan, P

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