Manoj Kumar

According to our database, Manoj Kumar authored at least 17 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2023

FlexSEE: a Flexible Secure Execution Environment for protecting data-in-use.

Jose Moreira, Jessica H. Tseng, Manoj Kumar, Eknath Ekanadham, Joefon Jann, Pratap C. Pattnaik, Gianfranco Bilardi, David Edelsohn, Henry M. Tufo

Proceedings of the 20th ACM International Conference on Computing Frontiers, 2023

2022

Introduction to GraphBLAS.

Jeremy Kepner, Peter Aaltonen, David A. Bader, Aydin Buluç, Franz Franchetti, John Gilbert, Shana Hutchison, Manoj Kumar, Andrew Lumsdaine, Henning Meyerhenke, Scott McMillan, José E. Moreira, John D. Owens, Carl Yang, Marcin Zalewski, Timothy G. Mattson

Proceedings of the Massive Graph Analytics, 2022

2021

Encrypted Data Processing.

Jessica H. Tseng, Gianfranco Bilardi, Kattamuri Ekanadham, Manoj Kumar, José E. Moreira, Pratap C. Pattnaik

CoRR, 2021

2020

Analysis and Hardware Optimization of Lattice Post-Quantum Cryptography Workloads.

Sandhya Koteshwara, Manoj Kumar, Pratap Pattnaik

Proceedings of the HASP@MICRO 2020: Hardware and Architectural Support for Security and Privacy, 2020

Performance Optimization of Lattice Post-Quantum Cryptographic Algorithms on Many-Core Processors.

Sandhya Koteshwara, Manoj Kumar, Pratap Pattnaik

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2020

Message from the workshop chairs.

Scott McMillan, Manoj Kumar, Danai Koutra, Mahantesh Halappanavar, Tim Mattson, Antonino Tumeo

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, 2020

Post Quantum Cryptography(PQC) - An overview: (Invited Paper).

Manoj Kumar, Pratap Pattnaik

Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020

2019

LAGraph: A Community Effort to Collect Graph Algorithms Built on Top of the GraphBLAS.

Tim Mattson, Timothy A. Davis, Manoj Kumar, Aydin Buluç, Scott McMillan, José E. Moreira, Carl Yang

Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019

2018

Graph Programming Interface (GPI): A Linear Algebra Programming Model for Large Scale Graph Computations.

William Horn, Manoj Kumar, Joefon Jann, José E. Moreira, Pratap Pattnaik, Mauricio J. Serrano, Gabriel Tanase, Hao Yu

Int. J. Parallel Program., 2018

IBM POWER9 and cognitive computing.

Manoj Kumar, William P. Horn, Jeremy Kepner, José E. Moreira, Pratap Pattnaik

IBM J. Res. Dev., 2018

Implementing the GraphBLAS C API.

José E. Moreira, Manoj Kumar, William P. Horn

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018

Performance of Graph Analytics Applications on Many-Core Processors.

Jenna Wise, Emily Lederman, Manoj Kumar, Pratap Pattnaik

Proceedings of the 2018 IEEE High Performance Extreme Computing Conference, 2018

GraphBLAS: handling performance concerns in large graph analytics.

Manoj Kumar, José E. Moreira, Pratap Pattnaik

Proceedings of the 15th ACM International Conference on Computing Frontiers, 2018

2017

Enabling massive deep neural networks with the GraphBLAS.

Jeremy Kepner, Manoj Kumar, José E. Moreira, Pratap Pattnaik, Mauricio J. Serrano, Henry M. Tufo

Proceedings of the 2017 IEEE High Performance Extreme Computing Conference, 2017

2016

Efficient implementation of scatter-gather operations for large scale graph analytics.

Manoj Kumar, Mauricio J. Serrano, José E. Moreira, Pratap Pattnaik, William P. Horn, Joefon Jann, Gabriel Tanase

Proceedings of the 2016 IEEE High Performance Extreme Computing Conference, 2016

Mathematical foundations of the GraphBLAS.

Jeremy Kepner, Peter Aaltonen, David A. Bader, Aydin Buluç, Franz Franchetti, John R. Gilbert, Dylan Hutchison, Manoj Kumar, Andrew Lumsdaine, Henning Meyerhenke, Scott McMillan, Carl Yang, John D. Owens, Marcin Zalewski, Timothy G. Mattson, José E. Moreira

Proceedings of the 2016 IEEE High Performance Extreme Computing Conference, 2016

Graph programming interface (GPI): a linear algebra programming model for large scale graph computations.

Kattamuri Ekanadham, William P. Horn, Manoj Kumar, Joefon Jann, José E. Moreira, Pratap Pattnaik, Mauricio J. Serrano, Gabriel Tanase, Hao Yu

Proceedings of the ACM International Conference on Computing Frontiers, CF'16, 2016