2009 |
17 | EE | Venkatesan T. Chakaravarthy,
Vinayaka Pandit,
Yogish Sabharwal:
Analysis of sampling techniques for association rule mining.
ICDT 2009: 276-283 |
2008 |
16 | EE | Vaibhav Saxena,
Prashant Agrawal,
Yogish Sabharwal,
Vijay K. Garg,
Vimitha A. Kuruvilla,
John A. Gunnels:
Optimization of BLAS on the Cell Processor.
HiPC 2008: 18-29 |
15 | EE | 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 |
14 | EE | Sameer Kumar,
Yogish Sabharwal,
Rahul Garg,
Philip Heidelberger:
Optimization of All-to-All Communication on the Blue Gene/L Supercomputer.
ICPP 2008: 320-329 |
13 | EE | Anamitra R. Choudhury,
Alan King,
Sunil Kumar,
Yogish Sabharwal:
Optimizations in financial engineering: The Least-Squares Monte Carlo method of Longstaff and Schwartz.
IPDPS 2008: 1-11 |
2007 |
12 | EE | Amit Kumar,
Yogish Sabharwal:
The Priority k-Median Problem.
FSTTCS 2007: 71-83 |
2006 |
11 | EE | Rahul Garg,
Vijay K. Garg,
Yogish Sabharwal:
Scalable algorithms for global snapshots in distributed systems.
ICS 2006: 269-277 |
10 | EE | Rahul Garg,
Yogish Sabharwal:
MPI and communication - Software routing and aggregation of messages to optimize the performance of HPCC randomaccess benchmark.
SC 2006: 109 |
9 | EE | 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 |
8 | EE | Rahul Garg,
Yogish Sabharwal:
Optimizing the HPCC randomaccess benchmark on blue Gene/L Supercomputer.
SIGMETRICS/Performance 2006: 369-370 |
7 | EE | Yogish Sabharwal,
Nishant Sharma,
Sandeep Sen:
Nearest neighbors search using point location in balls with applications to approximate Voronoi decompositions.
J. Comput. Syst. Sci. 72(6): 955-977 (2006) |
2005 |
6 | EE | Natwar Modani,
Yogish Sabharwal,
S. Karthik:
A Framework for Session Based Recommendations.
EC-Web 2005: 108-117 |
5 | EE | Amit Kumar,
Yogish Sabharwal,
Sandeep Sen:
Linear Time Algorithms for Clustering Problems in Any Dimensions.
ICALP 2005: 1374-1385 |
4 | EE | Yogish Sabharwal,
Sandeep Sen:
A linear time algorithm for approximate 2-means clustering.
Comput. Geom. 32(2): 159-172 (2005) |
2004 |
3 | EE | Amit Kumar,
Yogish Sabharwal,
Sandeep Sen:
A Simple Linear Time (1+ ) -Approximation Algorithm for k-Means Clustering in Any Dimensions.
FOCS 2004: 454-462 |
2 | EE | Aseem Agrawal,
Jayanta Basak,
Vivek Jain,
Ravi Kothari,
Manoj Kumar,
Parul A. Mittal,
Natwar Modani,
K. Ravikumar,
Yogish Sabharwal,
R. Sureka:
Online marketing research.
IBM Journal of Research and Development 48(5-6): 671-678 (2004) |
2002 |
1 | EE | Yogish Sabharwal,
Nishant Sharma,
Sandeep Sen:
Nearest Neighbors Search Using Point Location in Balls with Applications to Approximate Voronoi Decompositions.
FSTTCS 2002: 311-323 |