Inderjit S. Dhillon
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
118
Venues
23
Active years
1996–2026
Best venue rank
A*
Where they publish
- A*ICML35 papers
- A*KDD21 papers
- AAISTATS8 papers
- A*ICDM8 papers
- A*ICLR7 papers
- ACIKM7 papers
- ASDM7 papers
- A*WWW4 papers
- A*AAAI3 papers
- ARecSys3 papers
- A*IJCAI2 papers
- A*SIGIR2 papers
- AWACV1 paper
- A*ACL1 paper
- A*EMNLP1 paper
- ANAACL1 paper
- AUAI1 paper
- BALT1 paper
- BEuroPar1 paper
- A*ICDE1 paper
- NationalCOMAD1 paper
- A*SIGMETRICS1 paper
- ASC1 paper
Papers
118 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | WACV | Pyramidal Spectrum: Frequency-based Hierarchically Vector Quantized VAE for Videos. | Tushar Prakash, Onkar Susladkar, Inderjit S. Dhillon, Sparsh Mittal |
| 2025 | ICLR | Large Language Models are Interpretable Learners. | Ruochen Wang, Si Si, Felix X. Yu, Dorothea Wiesmann Rothuizen, Cho-Jui Hsieh, Inderjit S. Dhillon |
| 2025 | ICLR | LoRA Done RITE: Robust Invariant Transformation Equilibration for LoRA Optimization. | Jui-Nan Yen, Si Si, Zhao Meng, Felix X. Yu, Sai Surya Duvvuri, Inderjit S. Dhillon, Cho-Jui Hsieh, Sanjiv Kumar |
| 2025 | ICML | Geometric Median (GM) Matching for Robust k-Subset Selection from Noisy Data. | Anish Acharya, Sujay Sanghavi, Alex Dimakis, Inderjit S. Dhillon |
| 2025 | ICML | Retraining with Predicted Hard Labels Provably Increases Model Accuracy. | Rudrajit Das, Inderjit S. Dhillon, Alessandro Epasto, Adel Javanmard, Jieming Mao, Vahab Mirrokni, Sujay Sanghavi, Peilin Zhong |
| 2025 | ICML | LASER: Attention with Exponential Transformation. | Sai Surya Duvvuri, Inderjit S. Dhillon |
| 2025 | KDD | Matryoshka Model Learning for Improved Elastic Student Models. | Chetan Verma, Aditya Srinivas Timmaraju, Cho-Jui Hsieh, Suyash Damle, Ngot Bui, Yang Zhang, Wen Chen, Xin Liu, Prateek Jain, Inderjit S. Dhillon |
| 2024 | ACL | Automatic Engineering of Long Prompts. | Cho-Jui Hsieh, Si Si, Felix X. Yu, Inderjit S. Dhillon |
| 2024 | EMNLP | PRISM: A New Lens for Improved Color Understanding. | Arjun R. Akula, Garima Pruthi, Inderjit S. Dhillon, Pradyumna Narayana, Sugato Basu, Varun Jampani |
| 2024 | ICLR | Combining Axes Preconditioners through Kronecker Approximation for Deep Learning. | Sai Surya Duvvuri, Devvrit, Rohan Anil, Cho-Jui Hsieh, Inderjit S. Dhillon |
| 2024 | ICLR | Dual-Encoders for Extreme Multi-label Classification. | Nilesh Gupta, Devvrit, Ankit Singh Rawat, Srinadh Bhojanapalli, Prateek Jain, Inderjit S. Dhillon |
| 2024 | ICLR | Two-stage LLM Fine-tuning with Less Specialization and More Generalization. | Yihan Wang, Si Si, Daliang Li, Michal Lukasik, Felix X. Yu, Cho-Jui Hsieh, Inderjit S. Dhillon, Sanjiv Kumar |
| 2023 | AISTATS | Sample Efficiency of Data Augmentation Consistency Regularization. | Shuo Yang, Yijun Dong, Rachel A. Ward, Inderjit S. Dhillon, Sujay Sanghavi, Qi Lei |
| 2023 | WWW | FINGER: Fast Inference for Graph-based Approximate Nearest Neighbor Search. | Patrick H. Chen, Wei-Cheng Chang, Jyun-Yu Jiang, Hsiang-Fu Yu, Inderjit S. Dhillon, Cho-Jui Hsieh |
| 2022 | AISTATS | Robust Training in High Dimensions via Block Coordinate Geometric Median Descent. | Anish Acharya, Abolfazl Hashemi, Prateek Jain, Sujay Sanghavi, Inderjit S. Dhillon, Ufuk Topcu |
| 2022 | ICLR | Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction. | Eli Chien, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Jiong Zhang, Olgica Milenkovic, Inderjit S. Dhillon |
| 2022 | ICML | Linear Bandit Algorithms with Sublinear Time Complexity. | Shuo Yang, Tongzheng Ren, Sanjay Shakkottai, Eric Price, Inderjit S. Dhillon, Sujay Sanghavi |
| 2022 | IJCAI | CAT: Customized Adversarial Training for Improved Robustness. | Minhao Cheng, Qi Lei, Pin-Yu Chen, Inderjit S. Dhillon, Cho-Jui Hsieh |
| 2022 | NAACL | Extreme Zero-Shot Learning for Extreme Text Classification. | Yuanhao Xiong, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Inderjit S. Dhillon |
| 2022 | WWW | Enterprise-Scale Search: Accelerating Inference for Sparse Extreme Multi-Label Ranking Trees. | Philip A. Etter, Kai Zhong, Hsiang-Fu Yu, Lexing Ying, Inderjit S. Dhillon |
| 2022 | SIGIR | Counterfactual Learning To Rank for Utility-Maximizing Query Autocompletion. | Adam Block, Rahul Kidambi, Daniel N. Hill, Thorsten Joachims, Inderjit S. Dhillon |
| 2022 | UAI | Faster non-convex federated learning via global and local momentum. | Rudrajit Das, Anish Acharya, Abolfazl Hashemi, Sujay Sanghavi, Inderjit S. Dhillon, Ufuk Topcu |
| 2021 | AAAI | Learning from eXtreme Bandit Feedback. | Romain Lopez, Inderjit S. Dhillon, Michael I. Jordan |
| 2021 | CIKM | Enabling Efficiency-Precision Trade-offs for Label Trees in Extreme Classification. | Tavor Z. Baharav, Daniel L. Jiang, Kedarnath Kolluri, Sujay Sanghavi, Inderjit S. Dhillon |
| 2021 | ICML | Top-k eXtreme Contextual Bandits with Arm Hierarchy. | Rajat Sen, Alexander Rakhlin, Lexing Ying, Rahul Kidambi, Dean P. Foster, Daniel N. Hill, Inderjit S. Dhillon |
| 2021 | KDD | Extreme Multi-label Learning for Semantic Matching in Product Search. | Wei-Cheng Chang, Daniel L. Jiang, Hsiang-Fu Yu, Choon-Hui Teo, Jiong Zhang, Kai Zhong, Kedarnath Kolluri, Qie Hu, Nikhil Shandilya, Vyacheslav Ievgrafov, Japinder Singh, Inderjit S. Dhillon |
| 2021 | KDD | Session-Aware Query Auto-completion using Extreme Multi-Label Ranking. | Nishant Yadav, Rajat Sen, Daniel N. Hill, Arya Mazumdar, Inderjit S. Dhillon |
| 2020 | ICML | Learning to Encode Position for Transformer with Continuous Dynamical Model. | Xuanqing Liu, Hsiang-Fu Yu, Inderjit S. Dhillon, Cho-Jui Hsieh |
| 2020 | ICML | Extreme Multi-label Classification from Aggregated Labels. | Yanyao Shen, Hsiang-Fu Yu, Sujay Sanghavi, Inderjit S. Dhillon |
| 2020 | KDD | Taming Pretrained Transformers for Extreme Multi-label Text Classification. | Wei-Cheng Chang, Hsiang-Fu Yu, Kai Zhong, Yiming Yang, Inderjit S. Dhillon |
| 2020 | WWW | Scalable Anti-TrustRank with Qualified Site-level Seeds for Link-based Web Spam Detection. | Joyce Jiyoung Whang, Yeonsung Jung, Seonggoo Kang, Dongho Yoo, Inderjit S. Dhillon |
| 2019 | AAAI | Online Embedding Compression for Text Classification Using Low Rank Matrix Factorization. | Anish Acharya, Rahul Goel, Angeliki Metallinou, Inderjit S. Dhillon |
| 2019 | AISTATS | Parallel Asynchronous Stochastic Coordinate Descent with Auxiliary Variables. | Hsiang-Fu Yu, Cho-Jui Hsieh, Inderjit S. Dhillon |
| 2019 | AISTATS | Extreme Stochastic Variational Inference: Distributed Inference for Large Scale Mixture Models. | Jiong Zhang, Parameswaran Raman, Shihao Ji, Hsiang-Fu Yu, S. V. N. Vishwanathan, Inderjit S. Dhillon |
| 2019 | ICLR | The Limitations of Adversarial Training and the Blind-Spot Attack. | Huan Zhang, Hongge Chen, Zhao Song, Duane S. Boning, Inderjit S. Dhillon, Cho-Jui Hsieh |
| 2019 | IJCAI | Similarity Preserving Representation Learning for Time Series Clustering. | Qi Lei, Jinfeng Yi, Roman Vaculn, Lingfei Wu, Inderjit S. Dhillon |
| 2018 | ICML | Towards Fast Computation of Certified Robustness for ReLU Networks. | Tsui-Wei Weng, Huan Zhang, Hongge Chen, Zhao Song, Cho-Jui Hsieh, Luca Daniel, Duane S. Boning, Inderjit S. Dhillon |
| 2018 | ICML | Stabilizing Gradients for Deep Neural Networks via Efficient SVD Parameterization. | Jiong Zhang, Qi Lei, Inderjit S. Dhillon |
| 2018 | ICML | Learning Long Term Dependencies via Fourier Recurrent Units. | Jiong Zhang, Yibo Lin, Zhao Song, Inderjit S. Dhillon |
| 2018 | SIGIR | Realtime Query Completion via Deep Language Models. | Po-Wei Wang, Huan Zhang, Vijai Mohan, Inderjit S. Dhillon, J. Zico Kolter |
| 2017 | AAAI | A Unified Algorithm for One-Cass Structured Matrix Factorization with Side Information. | Hsiang-Fu Yu, Hsin-Yuan Huang, Inderjit S. Dhillon, Chih-Jen Lin |
| 2017 | AISTATS | Rank Aggregation and Prediction with Item Features. | Kai-Yang Chiang, Cho-Jui Hsieh, Inderjit S. Dhillon |
| 2017 | AISTATS | Greedy Direction Method of Multiplier for MAP Inference of Large Output Domain. | Xiangru Huang, Ian En-Hsu Yen, Ruohan Zhang, Qixing Huang, Pradeep Ravikumar, Inderjit S. Dhillon |
| 2017 | AISTATS | Scalable Convex Multiple Sequence Alignment via Entropy-Regularized Dual Decomposition. | Jiong Zhang, Ian En-Hsu Yen, Pradeep Ravikumar, Inderjit S. Dhillon |
| 2017 | AISTATS | Fast Classification with Binary Prototypes. | Kai Zhong, Ruiqi Guo, Sanjiv Kumar, Bowei Yan, David Simcha, Inderjit S. Dhillon |
| 2017 | CIKM | Non-Exhaustive, Overlapping Co-Clustering. | Joyce Jiyoung Whang, Inderjit S. Dhillon |
| 2017 | ICML | Doubly Greedy Primal-Dual Coordinate Descent for Sparse Empirical Risk Minimization. | Qi Lei, Ian En-Hsu Yen, Chao-Yuan Wu, Inderjit S. Dhillon, Pradeep Ravikumar |
| 2017 | ICML | Gradient Boosted Decision Trees for High Dimensional Sparse Output. | Si Si, Huan Zhang, S. Sathiya Keerthi, Dhruv Mahajan, Inderjit S. Dhillon, Cho-Jui Hsieh |
| 2017 | ICML | Recovery Guarantees for One-hidden-layer Neural Networks. | Kai Zhong, Zhao Song, Prateek Jain, Peter L. Bartlett, Inderjit S. Dhillon |
| 2017 | KDD | Communication-Efficient Distributed Block Minimization for Nonlinear Kernel Machines. | Cho-Jui Hsieh, Si Si, Inderjit S. Dhillon |
| 2017 | KDD | PPDsparse: A Parallel Primal-Dual Sparse Method for Extreme Classification. | Ian En-Hsu Yen, Xiangru Huang, Wei Dai, Pradeep Ravikumar, Inderjit S. Dhillon, Eric P. Xing |
| 2016 | ICML | Robust Principal Component Analysis with Side Information. | Kai-Yang Chiang, Cho-Jui Hsieh, Inderjit S. Dhillon |
| 2016 | ICML | Square Root Graphical Models: Multivariate Generalizations of Univariate Exponential Families that Permit Positive Dependencies. | David I. Inouye, Pradeep Ravikumar, Inderjit S. Dhillon |
| 2016 | ICML | Optimal Classification with Multivariate Losses. | Nagarajan Natarajan, Oluwasanmi Koyejo, Pradeep Ravikumar, Inderjit S. Dhillon |
| 2016 | ICML | Computationally Efficient Nystrm Approximation using Fast Transforms. | Si Si, Cho-Jui Hsieh, Inderjit S. Dhillon |
| 2016 | ICML | PD-Sparse : A Primal and Dual Sparse Approach to Extreme Multiclass and Multilabel Classification. | Ian En-Hsu Yen, Xiangru Huang, Pradeep Ravikumar, Kai Zhong, Inderjit S. Dhillon |
| 2016 | ICML | A Convex Atomic-Norm Approach to Multiple Sequence Alignment and Motif Discovery. | Ian En-Hsu Yen, Xin Lin, Jiong Zhang, Pradeep Ravikumar, Inderjit S. Dhillon |
| 2016 | KDD | Goal-Directed Inductive Matrix Completion. | Si Si, Kai-Yang Chiang, Cho-Jui Hsieh, Nikhil Rao, Inderjit S. Dhillon |
| 2016 | SDM | Fast Multiplier Methods to Optimize Non-exhaustive, Overlapping Clustering. | Yangyang Hou, Joyce Jiyoung Whang, David F. Gleich, Inderjit S. Dhillon |
| 2015 | ALT | Efficient Matrix Sensing Using Rank-1 Gaussian Measurements. | Kai Zhong, Prateek Jain, Inderjit S. Dhillon |
| 2015 | CIKM | Tumblr Blog Recommendation with Boosted Inductive Matrix Completion. | Donghyuk Shin, Suleyman Cetintas, Kuang-Chih Lee, Inderjit S. Dhillon |
| 2015 | EuroPar | Scalable Data-Driven PageRank: Algorithms, System Issues, and Lessons Learned. | Joyce Jiyoung Whang, Andrew Lenharth, Inderjit S. Dhillon, Keshav Pingali |
| 2015 | ICDE | Clustering to forecast sparse time-series data. | Abhay Jha, Shubhankar Ray, Brian Seaman, Inderjit S. Dhillon |
| 2015 | ICML | PU Learning for Matrix Completion. | Cho-Jui Hsieh, Nagarajan Natarajan, Inderjit S. Dhillon |
| 2015 | ICML | PASSCoDe: Parallel ASynchronous Stochastic dual Co-ordinate Descent. | Cho-Jui Hsieh, Hsiang-Fu Yu, Inderjit S. Dhillon |
| 2015 | ICML | Preference Completion: Large-scale Collaborative Ranking from Pairwise Comparisons. | Dohyung Park, Joe Neeman, Jin Zhang, Sujay Sanghavi, Inderjit S. Dhillon |
| 2015 | ICML | A Convex Exemplar-based Approach to MAD-Bayes Dirichlet Process Mixture Models. | Ian En-Hsu Yen, Xin Lin, Kai Zhong, Pradeep Ravikumar, Inderjit S. Dhillon |
| 2015 | KDD | Non-exhaustive, Overlapping Clustering via Low-Rank Semidefinite Programming. | Yangyang Hou, Joyce Jiyoung Whang, David F. Gleich, Inderjit S. Dhillon |
| 2015 | WWW | A Scalable Asynchronous Distributed Algorithm for Topic Modeling. | Hsiang-Fu Yu, Cho-Jui Hsieh, Hyokun Yun, S. V. N. Vishwanathan, Inderjit S. Dhillon |
| 2015 | SDM | Non-exhaustive, Overlapping | Joyce Jiyoung Whang, Inderjit S. Dhillon, David F. Gleich |
| 2014 | ICML | A Divide-and-Conquer Solver for Kernel Support Vector Machines. | Cho-Jui Hsieh, Si Si, Inderjit S. Dhillon |
| 2014 | ICML | Admixture of Poisson MRFs: A Topic Model with Word Dependencies. | David I. Inouye, Pradeep Ravikumar, Inderjit S. Dhillon |
| 2014 | ICML | Memory Efficient Kernel Approximation. | Si Si, Cho-Jui Hsieh, Inderjit S. Dhillon |
| 2014 | ICML | Large-scale Multi-label Learning with Missing Labels. | Hsiang-Fu Yu, Prateek Jain, Purushottam Kar, Inderjit S. Dhillon |
| 2013 | CIKM | Overlapping community detection using seed set expansion. | Joyce Jiyoung Whang, David F. Gleich, Inderjit S. Dhillon |
| 2013 | COMAD | Scalable Network Analysis. | Inderjit S. Dhillon |
| 2013 | ICDM | Stochastic Blockmodel with Cluster Overlap, Relevance Selection, and Similarity-Based Smoothing. | Joyce Jiyoung Whang, Piyush Rai, Inderjit S. Dhillon |
| 2013 | RecSys | Which app will you use next?: collaborative filtering with interactional context. | Nagarajan Natarajan, Donghyuk Shin, Inderjit S. Dhillon |
| 2012 | CIKM | Scalable clustering of signed networks using balance normalized cut. | Kai-Yang Chiang, Joyce Jiyoung Whang, Inderjit S. Dhillon |
| 2012 | CIKM | Multi-scale link prediction. | Donghyuk Shin, Si Si, Inderjit S. Dhillon |
| 2012 | ICDM | Scalable and Memory-Efficient Clustering of Large-Scale Social Networks. | Joyce Jiyoung Whang, Xin Sui, Inderjit S. Dhillon |
| 2012 | ICDM | Scalable Coordinate Descent Approaches to Parallel Matrix Factorization for Recommender Systems. | Hsiang-Fu Yu, Cho-Jui Hsieh, Si Si, Inderjit S. Dhillon |
| 2012 | KDD | Low rank modeling of signed networks. | Cho-Jui Hsieh, Kai-Yang Chiang, Inderjit S. Dhillon |
| 2012 | SIGMETRICS | Clustered embedding of massive social networks. | Han Hee Song, Berkant Savas, Tae Won Cho, Vacha Dave, Zhengdong Lu, Inderjit S. Dhillon, Yin Zhang, Lili Qiu |
| 2011 | CIKM | Exploiting longer cycles for link prediction in signed networks. | Kai-Yang Chiang, Nagarajan Natarajan, Ambuj Tewari, Inderjit S. Dhillon |
| 2011 | KDD | Fast coordinate descent methods with variable selection for non-negative matrix factorization. | Cho-Jui Hsieh, Inderjit S. Dhillon |
| 2011 | SDM | Clustered low rank approximation of graphs in information science applications. | Berkant Savas, Inderjit S. Dhillon |
| 2010 | ICDM | Supervised Link Prediction Using Multiple Sources. | Zhengdong Lu, Berkant Savas, Wei Tang, Inderjit S. Dhillon |
| 2010 | ICML | A scalable trust-region algorithm with application to mixed-norm regression. | Dongmin Kim, Suvrit Sra, Inderjit S. Dhillon |
| 2010 | RecSys | Affiliation recommendation using auxiliary networks. | Vishvas Vasuki, Nagarajan Natarajan, Zhengdong Lu, Inderjit S. Dhillon |
| 2009 | ICDM | Clustering with Multiple Graphs. | Wei Tang, Zhengdong Lu, Inderjit S. Dhillon |
| 2009 | ICML | A scalable framework for discovering coherent co-clusters in noisy data. | Meghana Deodhar, Gunjan Gupta, Joydeep Ghosh, Hyuk Cho, Inderjit S. Dhillon |
| 2009 | ICML | Geometry-aware metric learning. | Zhengdong Lu, Prateek Jain, Inderjit S. Dhillon |
| 2009 | RecSys | A spatio-temporal approach to collaborative filtering. | Zhengdong Lu, Deepak Agarwal, Inderjit S. Dhillon |
| 2008 | ICDM | Hunting for Coherent Co-clusters in High Dimensional and Noisy Datasets. | Meghana Deodhar, Joydeep Ghosh, Gunjan Gupta, Hyuk Cho, Inderjit S. Dhillon |
| 2008 | ICML | Rank minimization via online learning. | Raghu Meka, Prateek Jain, Constantine Caramanis, Inderjit S. Dhillon |
| 2008 | KDD | Structured metric learning for high dimensional problems. | Jason V. Davis, Inderjit S. Dhillon |
| 2008 | SDM | Simultaneous Unsupervised Learning of Disparate Clusterings. | Prateek Jain, Raghu Meka, Inderjit S. Dhillon |
| 2007 | ICML | Information-theoretic metric learning. | Jason V. Davis, Brian Kulis, Prateek Jain, Suvrit Sra, Inderjit S. Dhillon |
| 2007 | SDM | Fast Newton-type Methods for the Least Squares Nonnegative Matrix Approximation Problem. | Dongmin Kim, Suvrit Sra, Inderjit S. Dhillon |
| 2006 | ICML | Learning low-rank kernel matrices. | Brian Kulis, Mtys A. Sustik, Inderjit S. Dhillon |
| 2006 | KDD | Adaptive Website Design Using Caching Algorithms. | Justin Brickell, Inderjit S. Dhillon, Dharmendra S. Modha |
| 2006 | KDD | Estimating the global pagerank of web communities. | Jason V. Davis, Inderjit S. Dhillon |
| 2005 | ICML | Semi-supervised graph clustering: a kernel approach. | Brian Kulis, Sugato Basu, Inderjit S. Dhillon, Raymond J. Mooney |
| 2005 | KDD | A fast kernel-based multilevel algorithm for graph clustering. | Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis |
| 2004 | ICML | An information theoretic analysis of maximum likelihood mixture estimation for exponential families. | Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, Srujana Merugu |
| 2004 | KDD | A generalized maximum entropy approach to bregman co-clustering and matrix approximation. | Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, Srujana Merugu, Dharmendra S. Modha |
| 2004 | KDD | Kernel k-means: spectral clustering and normalized cuts. | Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis |
| 2004 | SDM | Clustering with Bregman Divergences. | Arindam Banerjee, Srujana Merugu, Inderjit S. Dhillon, Joydeep Ghosh |
| 2004 | SDM | Minimum Sum-Squared Residue Co-Clustering of Gene Expression Data. | Hyuk Cho, Inderjit S. Dhillon, Yuqiang Guan, Suvrit Sra |
| 2003 | ICDM | Information Theoretic Clustering of Sparse Co-Occurrence Data. | Inderjit S. Dhillon, Yuqiang Guan |
| 2003 | KDD | Generative model-based clustering of directional data. | Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, Suvrit Sra |
| 2003 | KDD | Information-theoretic co-clustering. | Inderjit S. Dhillon, Subramanyam Mallela, Dharmendra S. Modha |
| 2002 | ICDM | Iterative Clustering of High Dimensional Text Data Augmented by Local Search. | Inderjit S. Dhillon, Yuqiang Guan, Jacob Kogan |
| 2002 | KDD | Enhanced word clustering for hierarchical text classification. | Inderjit S. Dhillon, Subramanyam Mallela, Rahul Kumar |
| 2001 | KDD | Co-clustering documents and words using bipartite spectral graph partitioning. | Inderjit S. Dhillon |
| 1999 | KDD | A Data-Clustering Algorithm on Distributed Memory Multiprocessors. | Inderjit S. Dhillon, Dharmendra S. Modha |
| 1996 | SC | ScaLAPACK: A Portable Linear Algebra Library for Distributed Memory Computers - Design Issues and Performance. | L. Susan Blackford, Jaeyoung Choi, Andrew J. Cleary, James Demmel, Inderjit S. Dhillon, Jack J. Dongarra, Sven Hammarling, Greg Henry, Antoine Petitet, Ken Stanley, David W. Walker, R. Clinton Whaley |