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ORCIDAnshul Gupta
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[c60]Anshul Gupta, Pierre Vuillecard, Arya Farkhondeh, Jean-Marc Odobez:
Exploring the Zero-Shot Capabilities of Vision-Language Models for Improving Gaze Following. CVPR Workshops 2024: 615-624- [c59]Samy Tafasca, Anshul Gupta, Jean-Marc Odobez:
Sharingan: A Transformer Architecture for Multi-Person Gaze Following. CVPR 2024: 2008-2017 - [c58]Anshul Gupta, Samy Tafasca, Naravich Chutisilp, Jean-Marc Odobez
:
A Unified Model for Gaze Following and Social Gaze Prediction. FG 2024: 1-9 - [c57]Anshul Gupta, Shreya Kundu, Stefan Decoster, K. Sah, G. Delie, B. Truijen, Davide Tierno, Giulio Marti, O. Varela Pedreira, B. Kenens, Y. Hermans, C. Adelmann, B. de Wachter, Ivan Ciofi, G. Murdoch, A. Cross, Seongho Park, Zsolt Tokei:
Mitigating Line-Break Defectivity with a Sandwiched TiN or W Layer for Metal Pitch 18 NM Aspect Ratio 6 Semi-Damascene Interconnects. VLSI Technology and Circuits 2024: 1-2 - [i17]Vassilis Kalantzis, Mark S. Squillante, Shashanka Ubaru, Tayfun Gokmen, Chai Wah Wu, Anshul Gupta, Haim Avron, Tomasz Nowicki, Malte J. Rasch, O. Murat Onen, Vanessa López-Marrero, Effendi Leobandung, Yasuteru Kohda, Wilfried Haensch, Lior Horesh:
Multi-Function Multi-Way Analog Technology for Sustainable Machine Intelligence Computation. CoRR abs/2401.13754 (2024) - [i16]Anshul Gupta, Samy Tafasca, Arya Farkhondeh, Pierre Vuillecard, Jean-Marc Odobez:
A Novel Framework for Multi-Person Temporal Gaze Following and Social Gaze Prediction. CoRR abs/2403.10511 (2024) - [i15]Anshul Gupta, Pierre Vuillecard, Arya Farkhondeh, Jean-Marc Odobez:
Exploring the Zero-Shot Capabilities of Vision-Language Models for Improving Gaze Following. CoRR abs/2406.03907 (2024) - [i14]Anxing Xiao, Nuwan Janaka, Tianrun Hu, Anshul Gupta, Kaixin Li, Cunjun Yu, David Hsu:
Robi Butler: Remote Multimodal Interactions with Household Robot Assistant. CoRR abs/2409.20548 (2024) - 2023
- [j24]Anshul Gupta, Pravin Shrinath:
A novel recommendation system comprising WNMF with graph-based static and temporal similarity estimators. Int. J. Data Sci. Anal. 16(1): 27-41 (2023) - [j23]Anshul Gupta, Shireesh Kumar Rai, Maneesha Gupta:
A Fractional-Order Meminductor Emulator Using OTA and CDBA with Application in Adaptive Learning Circuit. Wirel. Pers. Commun. 131(4): 2675-2696 (2023) - [j22]Anshul Gupta, Sunil K. Singh, Brij B. Gupta, Muskaan Chopra, Shabeg Singh Gill:
Evaluating the Sustainable COVID-19 Vaccination Framework of India Using Recurrent Neural Networks. Wirel. Pers. Commun. 133(1): 73-91 (2023) - [c56]Vasileios Kalantzis, Mark S. Squillante, Chai Wah Wu, Anshul Gupta, Shashanka Ubaru, Tayfun Gokmen, Lior Horesh:
Solving Sparse Linear Systems via Flexible GMRES with In-Memory Analog Preconditioning. HPEC 2023: 1-7 - [c55]Samy Tafasca, Anshul Gupta, Jean-Marc Odobez:
ChildPlay: A New Benchmark for Understanding Children's Gaze Behaviour. ICCV 2023: 20878-20889 - [c54]Samy Tafasca, Anshul Gupta, Nada Kojovic, Mirko Gelsomini, Thomas Maillart, Michela Papandrea, Marie Schaer, Jean-Marc Odobez:
The AI4Autism Project: A Multimodal and Interdisciplinary Approach to Autism Diagnosis and Stratification. ICMI Companion 2023: 414-425 - [c53]Sushil K. Prasad, Charles C. Weems, Alan Sussman, Anshul Gupta, Trilce Estrada, Ramachandran Vaidyanathan, Sheikh K. Ghafoor, Krishna Kant, Craig B. Stunkel:
NSF/IEEE-TCPP Curriculum on Parallel and Distributed Computing for Undergraduates - Version II - Big Data, Energy, and Distributed Computing. SIGCSE (2) 2023: 1220-1221 - [i13]Samy Tafasca, Anshul Gupta, Jean-Marc Odobez:
ChildPlay: A New Benchmark for Understanding Children's Gaze Behaviour. CoRR abs/2307.01630 (2023) - [i12]Anshul Gupta, Samy Tafasca, Jean-Marc Odobez:
A Modular Multimodal Architecture for Gaze Target Prediction: Application to Privacy-Sensitive Settings. CoRR abs/2307.05158 (2023) - [i11]Samy Tafasca, Anshul Gupta, Jean-Marc Odobez:
Sharingan: A Transformer-based Architecture for Gaze Following. CoRR abs/2310.00816 (2023) - 2022
- [j21]R. Sanjeetha, Anita Kanavalli, Anshul Gupta, Ashutosh Pattanaik, Sashank Agarwal:
Real-time DDoS Detection and Mitigation in Software Defined Networks using Machine Learning Techniques. Int. J. Comput. 21(3): 353-359 (2022) - [c52]Anshul Gupta, Samy Tafasca, Jean-Marc Odobez:
A Modular Multimodal Architecture for Gaze Target Prediction: Application to Privacy-Sensitive Settings. CVPR Workshops 2022: 5037-5046 - [c51]Guojing Cong, Talia Ben-Naim, Victor Fung, Anshul Gupta, Rodrigo Neumann, Mathias Steiner:
Extensive Attention Mechanisms in Graph Neural Networks for Materials Discovery. ICDM (Workshops) 2022: 658-665 - [i10]Guojing Cong, Anshul Gupta, Rodrigo Neumann, Maíra de Bayser, Mathias Steiner, Breanndán Ó Conchúir:
Prediction of CO2 Adsorption in Nano-Pores with Graph Neural Networks. CoRR abs/2209.07567 (2022) - 2021
- [c50]Vasileios Kalantzis, Anshul Gupta, Lior Horesh, Tomasz Nowicki, Mark S. Squillante, Chai Wah Wu, Tayfun Gokmen, Haim Avron:
Solving sparse linear systems with approximate inverse preconditioners on analog devices. HPEC 2021: 1-7 - [c49]Anshul Gupta, Sunil K. Singh, Arpan Gupta:
A novel Smart Transportation based framework interlinking the advancements in Technology and System Engineering. SysCom 2021: 29-36 - [i9]Anshul Gupta, Toyotaro Suzumura:
Finding All Bounded-Length Simple Cycles in a Directed Graph. CoRR abs/2105.10094 (2021) - [i8]Vasileios Kalantzis, Anshul Gupta, Lior Horesh, Tomasz Nowicki, Mark S. Squillante, Chai Wah Wu:
Solving sparse linear systems with approximate inverse preconditioners on analog devices. CoRR abs/2107.06973 (2021) - 2020
- [c48]Venkat Krishnamohan, Akshara Soman, Anshul Gupta, Sriram Ganapathy:
Audiovisual Correspondence Learning in Humans and Machines. INTERSPEECH 2020: 4462-4466 - [c47]Olalla Varela Pedreira, Michele Stucchi, Anshul Gupta, Victor Vega-Gonzalez, Marleen van der Veen, Stephane Lariviere, Christopher J. Wilson, Zsolt Tökei, Kristof Croes:
Metal reliability mechanisms in Ruthenium interconnects. IRPS 2020: 1-7 - [i7]Ayushmaan Aggarwal, Niharika Bhattacharjee, Aadi Bhattacharya, Raka Bose, Anshul Gupta, Deepta Gupta, Anuj Kapoor, Elina Rani:
Sensor-Based Spreader Automation for Reducing Salt Use and Improving Safety. CoRR abs/2010.12983 (2020) - [i6]Anshul Gupta, Joydeep Medhi, Aratrik Chattopadhyay, Vikram Gupta:
End-to-End Differentiable 6DoF Object Pose Estimation with Local and Global Constraints. CoRR abs/2011.11078 (2020)
2010 – 2019
- 2019
- [c46]Kiran Praveen, Anshul Gupta, Akshara Soman, Sriram Ganapathy:
Second Language Transfer Learning in Humans and Machines Using Image Supervision. ASRU 2019: 1040-1047 - [c45]Anshul Gupta, Ravi Kumar Gangwar:
Dual Segment Dielectric Resonator Antenna for Microwave Applications. ICCCS 2019: 1-4 - 2018
- [j20]Anshul Gupta, Ravi Kumar Gangwar:
Dual-Band Circularly Polarized Aperture Coupled Rectangular Dielectric Resonator Antenna for Wireless Applications. IEEE Access 6: 11388-11396 (2018) - [j19]Anshul Gupta, Sven Schewe:
Buying Optimal Payoffs in Bi-Matrix Games. Games 9(3): 40 (2018) - [j18]Matthew Christy, Anshul Gupta, Elizabeth Grumbach, Laura Mandell, Richard Furuta, Ricardo Gutierrez-Osuna:
Mass Digitization of Early Modern Texts With Optical Character Recognition. ACM Journal on Computing and Cultural Heritage 11(1): 6:1-6:25 (2018) - [c44]Anshul Gupta, Dinesh Babu Jayagopi:
Unsupervised Speaker Cue Usage Detection in Public Speaking Videos. BMVC 2018: 333 - [p1]Sushil K. Prasad, Anshul Gupta, Arnold L. Rosenberg, Alan Sussman, Charles C. Weems:
Editors' Introduction and Roadmap. Topics in Parallel and Distributed Computing 2018: 1-20 - [e1]Sushil K. Prasad, Anshul Gupta, Arnold L. Rosenberg, Alan Sussman, Charles C. Weems:
Topics in Parallel and Distributed Computing, Enhancing the Undergraduate Curriculum: Performance, Concurrency, and Programming on Modern Platforms. Springer 2018, ISBN 978-3-319-93108-1 [contents] - 2017
- [j17]Anshul Gupta:
Enhancing Performance and Robustness of ILU Preconditioners by Blocking and Selective Transposition. SIAM J. Sci. Comput. 39(1) (2017) - [c43]Varsha Apte, T. V. S. Viswanath, Devidas Gawali, Akhilesh Kommireddy, Anshul Gupta:
AutoPerf: Automated Load Testing and Resource Usage Profiling of Multi-Tier Internet Applications. ICPE 2017: 115-126 - 2016
- [b2]Anshul Gupta:
Equilibria in finite games. University of Liverpool, UK, 2016 - [c42]Anshul Gupta, Natalia Gimelshein, Seid Koric, Steven C. Rennich:
Effective Minimally-Invasive GPU Acceleration of Distributed Sparse Matrix Factorization. Euro-Par 2016: 672-683 - [c41]Anshul Gupta, Sven Schewe, Ashutosh Trivedi, Sai Krishna Deepak Maram, Bharath Kumar Padarthi:
Incentive Stackelberg Mean-Payoff Games. SEFM 2016: 304-320 - [i5]Anshul Gupta, Ricardo Gutierrez-Osuna, Matthew Christy, Richard Furuta, Laura Mandell:
Font Identification in Historical Documents Using Active Learning. CoRR abs/1601.07252 (2016) - 2015
- [j16]Haim Avron, Alex Druinsky, Anshul Gupta:
Revisiting Asynchronous Linear Solvers: Provable Convergence Rate through Randomization. J. ACM 62(6): 51:1-51:27 (2015) - [j15]Henri Casanova, Anshul Gupta, Frédéric Suter:
Toward More Scalable Off-Line Simulations of MPI Applications. Parallel Process. Lett. 25(3): 1541002:1-1541002:18 (2015) - [c40]Anshul Gupta, Ricardo Gutierrez-Osuna, Matthew Christy, Boris Capitanu, Loretta Auvil, Liz Grumbach, Richard Furuta, Laura Mandell:
Automatic Assessment of OCR Quality in Historical Documents. AAAI 2015: 1735-1741 - [c39]Anshul Gupta, Sven Schewe:
It Pays to Pay in Bi-Matrix Games: a Rational Explanation for Bribery. AAMAS 2015: 1361-1369 - [c38]Anshul Gupta, Sven Schewe, Dominik Wojtczak:
Making the Best of Limited Memory in Multi-Player Discounted Sum Games. GandALF 2015: 16-30 - [i4]Anshul Gupta, Sai Krishna Deepak Maram, Bharath Kumar Padarthi, Sven Schewe, Ashutosh Trivedi:
Incentive Stackelberg Mean-payoff Games. CoRR abs/1511.00188 (2015) - 2014
- [c37]Matthew Christy, Loretta Auvil, Ricardo Gutierrez-Osuna, Boris Capitanu, Anshul Gupta, Elizabeth Grumbach:
Diagnosing Page Image Problems with Post-OCR Triage for eMOP. DH 2014 - [c36]Haim Avron, Alex Druinsky, Anshul Gupta:
Revisiting Asynchronous Linear Solvers: Provable Convergence Rate through Randomization. IPDPS 2014: 198-207 - [c35]Sushil K. Prasad, Almadena Yu. Chtchelkanova, Anshul Gupta, Arnold L. Rosenberg, Alan Sussman:
NSF/IEEE-TCPP curriculum initiative on parallel and distributed computing: core topics for undergraduates (abstract only). SIGCSE 2014: 735 - [c34]Anshul Gupta, Sven Schewe:
Quantitative Verification in Rational Environments. TIME 2014: 123-131 - 2013
- [j14]Haim Avron, Anshul Gupta, Sivan Toledo:
Solving Hermitian positive definite systems using indefinite incomplete factorizations. J. Comput. Appl. Math. 243: 126-138 (2013) - [c33]Anshul Gupta, Aurosish Mishra, Satya Gautam Vadlamudi, P. P. Chakrabarti, Sudeshna Sarkar, Tridib Mukherjee, Nathan Gnanasambandam:
A Mobility Simulation Framework Of Humans With Group Behavior Modeling. ICDM 2013: 1067-1072 - [i3]Haim Avron, Alex Druinsky, Anshul Gupta:
A Randomized Asynchronous Linear Solver with Provable Convergence Rate. CoRR abs/1304.6475 (2013) - [i2]Anshul Gupta, Sven Schewe:
The benefit of law-making power. CoRR abs/1307.2051 (2013) - 2012
- [j13]Thomas George, Anshul Gupta, Vivek Sarin:
An Empirical Analysis of the Performance of Preconditioners for SPD Systems. ACM Trans. Math. Softw. 38(4): 24:1-24:30 (2012) - [c32]Haim Avron, Anshul Gupta:
Managing data-movement for effective shared-memory parallelization of out-of-core sparse solvers. SC 2012: 102 - [i1]Prabhanjan Kambadur, Amol Ghoting, Anshul Gupta, Andrew Lumsdaine:
Extending Task Parallelism for Frequent Pattern Mining. CoRR abs/1211.1658 (2012) - 2011
- [c31]Thomas George, Vaibhav Saxena, Anshul Gupta, Amik Singh, Anamitra R. Choudhury:
Multifrontal Factorization of Sparse SPD Matrices on GPUs. IPDPS 2011: 372-383 - [c30]Sushil K. Prasad, Almadena Yu. Chtchelkanova, Sajal K. Das, Frank Dehne, Mohamed G. Gouda, Anshul Gupta, Joseph F. JáJá, Krishna Kant, Anita La Salle, Richard LeBlanc, Manish Lumsdaine, David A. Padua, Manish Parashar, Viktor K. Prasanna, Yves Robert, Arnold L. Rosenberg, Sartaj Sahni, Behrooz A. Shirazi, Alan Sussman, Charles C. Weems, Jie Wu:
NSF/IEEE-TCPP curriculum initiative on parallel and distributed computing: core topics for undergraduates. SIGCSE 2011: 617-618 - [r2]Anshul Gupta:
Preconditioners for Sparse Iterative Methods. Encyclopedia of Parallel Computing 2011: 1615-1624 - [r1]Anshul Gupta:
Sparse Direct Methods. Encyclopedia of Parallel Computing 2011: 1877-1886 - 2010
- [j12]Anshul Gupta, Thomas George:
Adaptive Techniques for Improving the Performance of Incomplete Factorization Preconditioning. SIAM J. Sci. Comput. 32(1): 84-110 (2010)
2000 – 2009
- 2009
- [c29]Prabhanjan Kambadur, Anshul Gupta, Torsten Hoefler, Andrew Lumsdaine:
Demand-driven execution of static directed acyclic graphs using task parallelism. HiPC 2009: 284-293 - [c28]Prabhanjan Kambadur, Amol Ghoting, Anshul Gupta, Andrew Lumsdaine:
Extending Task Parallelism For Frequent Pattern Mining. PARCO 2009: 289-296 - [c27]Anshul Gupta, Seid Koric, Thomas George:
Sparse matrix factorization on massively parallel computers. SC 2009 - [c26]Prabhanjan Kambadur, Anshul Gupta, Amol Ghoting, Haim Avron, Andrew Lumsdaine:
PFunc: modern task parallelism for modern high performance computing. SC 2009 - 2008
- [c25]Thomas George, Anshul Gupta, Vivek Sarin:
A Recommendation System for Preconditioned Iterative Solvers. ICDM 2008: 803-808 - 2007
- [j11]Anshul Gupta:
A Shared- and distributed-memory parallel general sparse direct solver. Appl. Algebra Eng. Commun. Comput. 18(3): 263-277 (2007) - 2006
- [c24]Anshul Gupta, J. William Atwood:
Feedback Mechanism for MPLS Path Assignment using RSVP-TE. AICT/ICIW 2006: 61 - [c23]Rajesh Garg, Mario Sánchez, Kanupriya Gulati, Nikhil Jayakumar, Anshul Gupta, Sunil P. Khatri:
A design flow to optimize circuit delay by using standard cells and PLAs. ACM Great Lakes Symposium on VLSI 2006: 217-222 - 2004
- [j10]Olaf Schenk, Stefan Röllin, Anshul Gupta:
The effects of unsymmetric matrix permutations and scalings in semiconductor device and circuit simulation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 23(3): 400-411 (2004) - [c22]Anshul Gupta:
A Shared- and Distributed-Memory Parallel Sparse Direct Solver. PARA 2004: 778-787 - 2002
- [j9]Anshul Gupta:
Improved Symbolic and Numerical Factorization Algorithms for Unsymmetric Sparse Matrices. SIAM J. Matrix Anal. Appl. 24(2): 529-552 (2002) - [j8]Anshul Gupta:
Recent advances in direct methods for solving unsymmetric sparse systems of linear equations. ACM Trans. Math. Softw. 28(3): 301-324 (2002) - 2001
- [c21]Anshul Gupta:
Recent Progress in General Sparse Direct Solvers. International Conference on Computational Science (1) 2001: 823-831 - [c20]Anshul Gupta, Yanto Muliadi:
An Experimental Comparison of some Direct Sparse Solver Packages. IPDPS 2001: 180 - 2000
- [c19]Anshul Gupta, Pankaj Rohatgi, Ramesh C. Agarwal:
Fast practical algorithms for the Boolean-product-witness-matrix problem. ISSAC 2000: 146-152
1990 – 1999
- 1999
- [c18]Anshul Gupta, Fred G. Gustavson, Alexander Karaivanov, Jerzy Wasniewski, Plamen Y. Yalamov:
Experience with a Recursive Perturbation Based Algorithm for Symmetric Indefinite Linear Systems. Euro-Par 1999: 1096-1103 - [c17]Gary S. Ditlow, Anshul Gupta, Richard L. Moore, David Moran, Ralph Williams, Tom Wilkins:
Parallel Analysis of IC Power Distribution Networks. PP 1999 - [c16]Mahesh V. Joshi, George Karypis, Vipin Kumar, Anshul Gupta, Fred G. Gustavson:
PSPASES: An Efficient and Scalable Parallel Sparse Direct Solver. PP 1999 - 1998
- [j7]Anshul Gupta, Fred G. Gustavson, Mahesh V. Joshi, Sivan Toledo:
The Design, Implementation, and Evaluation of a Symmetric Banded Linear Solver for Distributed-Memory Parallel Computers. ACM Trans. Math. Softw. 24(1): 74-101 (1998) - [c15]Anshul Gupta, Mahesh V. Joshi, Vipin Kumar:
WSSMP: A High-Performance Serial and Parallel Symmetric Sparse Linear Solver. PARA 1998: 182-194 - 1997
- [j6]Anshul Gupta:
Fast and effective algorithms for graph partitioning and sparse-matrix ordering. IBM J. Res. Dev. 41(1&2): 171-184 (1997) - [j5]Anshul Gupta, George Karypis, Vipin Kumar:
Highly Scalable Parallel Algorithms for Sparse Matrix Factorization. IEEE Trans. Parallel Distributed Syst. 8(5): 502-520 (1997) - [c14]Mahesh V. Joshi, Anshul Gupta, George Karypis, Vipin Kumar:
A high performance two dimensional scalable parallel algorithm for solving sparse triangular systems. HiPC 1997: 137-143 - [c13]Anshul Gupta, Fred G. Gustavson, Mahesh V. Joshi, George Karypis, Vipin Kumar:
Design and Implementation of a Scalable Parallel Direct Solver for Sparse Symmetric Positive Definite Systems: Preliminary Results. PP 1997 - 1996
- [c12]Anshul Gupta, Fred G. Gustavson:
Fast Graph Partitioning and Its Application in Sparse Matrix Ordering. PARA 1996: 316-327 - [c11]Anshul Gupta, Fred G. Gustavson, Mahesh V. Joshi, Sivan Toledo:
The Design, Implementation, and Evaluation of a Banded Linear Solver for Distributed-Memory Parallel Computers. PARA 1996: 328-340 - [c10]Fred G. Gustavson, Anshul Gupta:
A New Parallel Algorithm for Tridiagonal Symmetric Positive Definite Systems of Equations. PARA 1996: 341-349 - 1995
- [j4]Anshul Gupta, Vipin Kumar, Ahmed H. Sameh:
Performance and Scalability of Preconditioned Conjugate Gradient Methods on Parallel Computers. IEEE Trans. Parallel Distributed Syst. 6(5): 455-469 (1995) - [c9]George Karypis, Anshul Gupta, Vipin Kumar:
A Highly Parallel Interior Point Algorithm. PP 1995: 110-112 - [c8]Anshul Gupta, Vipin Kumar:
Optimally Scalable Parallel Sparse Cholesky Factorization. PP 1995: 442-447 - [c7]Anshul Gupta, Vipin Kumar:
Parallel Algorithms for Forward and Back Substitution in Direct Solution of Sparse Linear Systems. SC 1995: 74 - 1994
- [b1]Vipin Kumar, Ananth Grama, Anshul Gupta, George Karypis:
Introduction to Parallel Computing. Benjamin/Cummings 1994, ISBN 0-8053-3170-0 - [c6]George Karypis, Anshul Gupta, Vipin Kumar:
Experiences with a Parallel Formulation of an Interior Point Algorithm. Parallel Processing of Discrete Optimization Problems 1994: 163-180 - [c5]George Karypis, Anshul Gupta, Vipin Kumar:
A parallel formulation of interior point algorithms. SC 1994: 204-213 - [c4]Anshul Gupta, Vipin Kumar:
A scalable parallel algorithm for sparse Cholesky factorization. SC 1994: 793-802 - 1993
- [j3]Ananth Grama, Anshul Gupta, Vipin Kumar:
Isoefficiency: measuring the scalability of parallel algorithms and architectures. IEEE Parallel Distributed Technol. Syst. Appl. 1(3): 12-21 (1993) - [j2]Anshul Gupta, Vipin Kumar:
Performance Properties of Large Scale Parallel Systems. J. Parallel Distributed Comput. 19(3): 234-244 (1993) - [j1]Anshul Gupta, Vipin Kumar:
The Scalability of FFT on Parallel Computers. IEEE Trans. Parallel Distributed Syst. 4(8): 922-932 (1993) - [c3]Anshul Gupta, Vipin Kumar:
Scalability of Parallel Algorithms for Matrix Multiplication. ICPP (3) 1993: 115-123 - [c2]Anshul Gupta, Vipin Kumar, Ahmed H. Sameh:
Performance and Scalability of Preconditioned Conjugate Gradient Methods on the CM-5. PPSC 1993: 664-674 - 1991
- [c1]Vipin Kumar, Anshul Gupta:
Analysis of scalability of parallel algorithms and architectures: a survey. ICS 1991: 396-405
Coauthor Index
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