Rahul Garg

Rahul Garg, Steven M. Seitz: Dynamic Mosaics. 3DIMPVT 2012: 65-72

Rahul Garg, Rohit Khandekar: Block-sparse Solutions using Kernel Block RIP and its Application to Group Lasso. Journal of Machine Learning Research - Proceedings Track 15: 296-304 (2011)

Rahul Garg, Guillermo A. Cecchi, A. Ravishankar Rao: Full-brain auto-regressive modeling (FARM) using fMRI. NeuroImage 58(2): 416-441 (2011)

Ira Kemelmacher-Shlizerman, Eli Shechtman, Rahul Garg, Steven M. Seitz: Exploring photobios. ACM Trans. Graph. 30(4): 61 (2011)

Rahul Garg, Steven M. Seitz, Deva Ramanan, Noah Snavely: Where's Waldo: Matching people in images of crowds. CVPR 2011: 1793-1800

T. C. Deepak Shekhar, Kiran Varaganti, Rahul Suresh, Rahul Garg, Ramalingam Ramamoorthy: Comparison of Parallel Programming Models for Multicore Architectures. IPDPS Workshops 2011: 1675-1682

A. Ravishankar Rao, Rahul Garg, Guillermo A. Cecchi: A spatio-temporal support vector machine searchlight for fMRI analysis. ISBI 2011: 1023-1026

Rahul Garg, Guillermo A. Cecchi, A. Ravishankar Rao: Brain as a self-predictor: Sparse full-brain auto-regressive modeling in fMRI. ISBI 2011: 1581-1584

Laurie J. Hendren, Jesse Doherty, Anton Dubrau, Rahul Garg, Nurudeen Lameed, Soroush Radpour, Amina Aslam, Toheed Aslam, Andrew Casey, Maxime Chevalier-Boisvert, Jun Li, Clark Verbrugge, Olivier Savary Belanger: McLAB: enabling programming language, compiler and software engineering research for matlab. OOPSLA Companion 2011: 195-196

Rahul Garg, Vijay K. Garg, Yogish Sabharwal: Efficient Algorithms for Global Snapshots in Large Distributed Systems. IEEE Trans. Parallel Distrib. Syst. 21(5): 620-630 (2010)

Rahul Garg, José Nelson Amaral: Compiling Python to a hybrid execution environment. GPGPU 2010: 19-30

Andrew Casey, Jun Li, Jesse Doherty, Maxime Chevalier-Boisvert, Toheed Aslam, Anton Dubrau, Nurudeen Lameed, Amina Aslam, Rahul Garg, Soroush Radpour, Olivier Savary Belanger, Laurie J. Hendren, Clark Verbrugge: McLab: an extensible compiler toolkit for MATLAB and related languages. C3S2E 2010: 114-117

Rahul Garg, Perwez Shahabuddin, Akshat Verma: Balanced stream assignment for service facility. HiPC 2010: 1-10

Melissa K. Carroll, Guillermo A. Cecchi, Irina Rish, Rahul Garg, A. Ravishankar Rao: Prediction and interpretation of distributed neural activity with sparse models. NeuroImage 44(1): 112-122 (2009)

Rahul Garg, Hao Du, Steven M. Seitz, Noah Snavely: The dimensionality of scene appearance. ICCV 2009: 1917-1924

Mikaël Ates, Jacques Fayolle, Christophe Gravier, Jérémy Lardon, Rahul Garg: Privacy for RFID-enabled Distributed Applications - Design Notes. ICEIS (3) 2009: 324-328

Rahul Garg, Rohit Khandekar: Gradient descent with sparsification: an iterative algorithm for sparse recovery with restricted isometry property. ICML 2009: 43

Vikas Aggarwal, Yogish Sabharwal, Rahul Garg, Philip Heidelberger: HPCC Random Access benchmark for next generation supercomputers. IPDPS 2009: 1-11

Guillermo A. Cecchi, Rahul Garg, A. Ravishankar Rao: A Cluster Overlap Measure for Comparison of Activations in fMRI Studies. MICCAI (1) 2009: 1018-1025

Noah Snavely, Rahul Garg, Steven M. Seitz, Richard Szeliski: Finding paths through the world's photos. ACM Trans. Graph. 27(3) (2008)

Yogish Sabharwal, Saurabh K. Garg, Rahul Garg, John A. Gunnels, Ramendra K. Sahoo: Optimization of Fast Fourier Transforms on the Blue Gene/L Supercomputer. HiPC 2008: 309-322

Sameer Kumar, Yogish Sabharwal, Rahul Garg, Philip Heidelberger: Optimization of All-to-All Communication on the Blue Gene/L Supercomputer. ICPP 2008: 320-329

Guillermo A. Cecchi, Rahul Garg, A. Ravishankar Rao: Inferring brain dynamics using granger causality on fMRI data. ISBI 2008: 604-607

Lisa Fleischer, Rahul Garg, Sanjiv Kapoor, Rohit Khandekar, Amin Saberi: A Fast and Simple Algorithm for Computing Market Equilibria. WINE 2008: 19-30

Manik Varma, Rahul Garg: Locally Invariant Fractal Features for Statistical Texture Classification. ICCV 2007: 1-8

Christopher Barton, Calin Cascaval, George Almási, Rahul Garg, José Nelson Amaral, Montse Farreras: Multidimensional Blocking in UPC. LCPC 2007: 47-62

Rahul Garg, Sanjiv Kapoor: Market Equilibrium Using Auctions for a Class of Gross-Substitute Utilities. WINE 2007: 356-361

Rahul Garg, Sanjiv Kapoor: Auction Algorithms for Market Equilibrium. Math. Oper. Res. 31(4): 714-729 (2006)

Rahul Garg, Pradipta De: Impact of Noise on Scaling of Collectives: An Empirical Evaluation. HiPC 2006: 460-471

Rahul Garg, Vijay K. Garg, Yogish Sabharwal: Scalable algorithms for global snapshots in distributed systems. ICS 2006: 269-277

Hiroshi Akiba, Tomonobu Ohyama, Yoshinoir Shibata, Kiyoshi Yuyama, Yoshikazu Katai, Ryuichi Takeuchi, Takeshi Hoshino, Shinobu Yoshimura, Hirohisa Noguchi, Manish Gupta, John A. Gunnels, Vernon Austel, Yogish Sabharwal, Rahul Garg, Shoji Kato, Takashi Kawakami, Satoru Todokoro, Junko Ikeda: Gordon Bell finalists I - Large scale drop impact analysis of mobile phone using ADVC on Blue Gene/L. SC 2006: 46

Rahul Garg, Yogish Sabharwal: MPI and communication - Software routing and aggregation of messages to optimize the performance of HPCC randomaccess benchmark. SC 2006: 109

Rahul Garg, Yogish Sabharwal: Optimizing the HPCC randomaccess benchmark on blue Gene/L Supercomputer. SIGMETRICS/Performance 2006: 369-370

Pradeep Dubey, Rahul Garg, Bernard De Meyer: Competing for Customers in a Social Network: The Quasi-linear Case. WINE 2006: 162-173

Pradeep Dubey, Rahul Garg: Games of Connectivity. WINE 2006: 186-197

Rahul Garg, Sanjiv Kapoor: Price Roll-Backs and Path Auctions: An Approximation Scheme for Computing the Market Equilibrium. WINE 2006: 225-238

Vipul Bansal, Rahul Garg: Simultaneous Independent Online Auctions with Discrete Bid Increments. Electronic Commerce Research 5(2): 181-201 (2005)

Saurabh Agarwal, Rahul Garg, Nisheeth K. Vishnoi: The Impact of Noise on the Scaling of Collectives: A Theoretical Approach. HiPC 2005: 280-289

Rahul Garg, Sanjiv Kapoor, Vijay V. Vazirani: An Auction-Based Market Equilibrium Algorithm for the Separable Gross Substitutability Case. APPROX-RANDOM 2004: 128-138

Saurabh Agarwal, Rahul Garg, Meeta Sharma Gupta, José E. Moreira: Adaptive incremental checkpointing for massively parallel systems. ICS 2004: 277-286

Rahul Garg, Sanjiv Kapoor: Auction algorithms for market equilibrium. STOC 2004: 511-518

Rahul Garg, Vijay Kumar, Atri Rudra, Akshat Verma: Coalitional games on graphs: core structure, substitutes and frugality. ACM Conference on Electronic Commerce 2003: 248-249

Rahul Garg, Abhinav Kamra, Varun Khurana: A game-theoretic approach towards congestion control in communication networks. Computer Communication Review 32(3): 47-61 (2002)

Narasimha R. Adiga, George Almási, Yariv Aridor, Rajkishore Barik, Daniel K. Beece, Ralph Bellofatto, Gyan Bhanot, Randy Bickford, Matthias A. Blumrich, Arthur A. Bright, José R. Brunheroto, Calin Cascaval, José G. Castaños, Waiman Chan, Luis Ceze, Paul Coteus, Siddhartha Chatterjee, Dong Chen, George L.-T. Chiu, Thomas M. Cipolla, Paul Crumley, K. M. Desai, Alina Deutsch, Tamar Domany, Marc Boris Dombrowa, Wilm E. Donath, Maria Eleftheriou, C. Christopher Erway, J. Esch, Blake G. Fitch, Joseph Gagliano, Alan Gara, Rahul Garg, Robert S. Germain, Mark Giampapa, Balaji Gopalsamy, John A. Gunnels, Manish Gupta, Fred G. Gustavson, Shawn Hall, Ruud A. Haring, David F. Heidel, Philip Heidelberger, Lorraine Herger, Dirk Hoenicke, R. D. Jackson, T. Jamal-Eddine, Gerard V. Kopcsay, Elie Krevat, Manish P. Kurhekar, Alphonso P. Lanzetta, Derek Lieber, L. K. Liu, M. Lu, Mark P. Mendell, A. Misra, Y. Moatti, Lawrence S. Mok, José E. Moreira, Ben J. Nathanson, Matthew Newton, Martin Ohmacht, Adam J. Oliner, Vinayaka Pandit, R. B. Pudota, Rick A. Rand, Richard D. Regan, Bradley Rubin, Albert E. Ruehli, Silvius Rus, Ramendra K. Sahoo, Alda Sanomiya, Eugen Schenfeld, M. Sharma, Edi Shmueli, Sarabjeet Singh, Peilin Song, Vijay Srinivasan, Burkhard D. Steinmacher-Burow, Karin Strauss, Christopher W. Surovic, Richard A. Swetz, Todd Takken, R. Brett Tremaine, Mickey Tsao, Arun R. Umamaheshwaran, P. Verma, Pavlos Vranas, T. J. Christopher Ward, Michael E. Wazlowski, W. Barrett, C. Engel, B. Drehmel, B. Hilgart, D. Hill, F. Kasemkhani, David J. Krolak, C. T. Li, Thomas A. Liebsch, James A. Marcella, A. Muff, A. Okomo, M. Rouse, A. Schram, M. Tubbs, G. Ulsh, Charles D. Wait, J. Wittrup, M. Bae, Kenneth A. Dockser, Lynn Kissel, Mark K. Seager, Jeffrey S. Vetter, K. Yates: An overview of the BlueGene/L Supercomputer. SC 2002: 1-22

Vipul Bansal, Rahul Garg: Efficiency and price discovery in multi-item auctions. SIGecom Exchanges 2(1): 26-32 (2001)

Rahul Garg, Vijay Kumar, Vinayaka Pandit: Approximation Algorithms for Budget-Constrained Auctions. RANDOM-APPROX 2001: 102-113

Rahul Garg, Parul A. Mittal, Vikas Agarwal, Natwar Modani: An Architecture for Secure Generation and Verification of Electronic Coupons. USENIX Annual Technical Conference, General Track 2001: 51-63

Amitabha Bagchi, Amitabh Chaudhary, Rahul Garg, Michael T. Goodrich, Vijay Kumar: Seller-Focused Algorithms for Online Auctioning. WADS 2001: 135-147

Rahul Garg, Huzur Saran: Fair Bandwidth Sharing Among Virtual Networks: A Capacity Resizing Approach. INFOCOM 2000: 255-264

Rahul Garg, Xiaoqiang Chen: RRR: recursive round robin scheduler. Computer Networks 31(18): 1951-1966 (1999)

Rahul Garg, Raphael Rom: 4 An ATM Switch Control Interface for Quality of Service and Reliability. Broadband Communications 1999: 405-418