Manu Shantharam

According to our database, Manu Shantharam authored at least 20 papers between 2009 and 2021.

Collaborative distances:

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

2021

Expanse: Computing without Boundaries: Architecture, Deployment, and Early Operations Experiences of a Supercomputer Designed for the Rapid Evolution in Science and Engineering.

Shawn Strande, Haisong Cai, Mahidhar Tatineni, Wayne Pfeiffer, Christopher Irving, Amit Majumdar, Dmitry Mishin, Robert S. Sinkovits, Mike Norman, Nicole Wolter, Trevor Cooper, Ilkay Altintas, Marty Kandes, Ismael Pérez, Manu Shantharam, Mary P. Thomas, Subhashini Sivagnanam, Thomas Hutton

Proceedings of the PEARC '21: Practice and Experience in Advanced Research Computing, 2021

Integrity Protection for Research Artifacts using Open Science Chain's Command Line Utility.

Manu Shantharam, Kai Lin, Scott Sakai, Subhashini Sivagnanam

Proceedings of the PEARC '21: Practice and Experience in Advanced Research Computing, 2021

2020

Research Workflows - Towards reproducible science via detailed provenance tracking in Open Science Chain.

Viswanath Nandigam, Kai Lin, Manu Shantharam, Scott Sakai, Subhashini Sivagnanam

Proceedings of the PEARC '20: Practice and Experience in Advanced Research Computing, 2020

Selective Protection for Sparse Iterative Solvers to Reduce the Resilience Overhead.

Hongyang Sun, Ana Gainaru, Manu Shantharam, Padma Raghavan

Proceedings of the 32nd IEEE International Symposium on Computer Architecture and High Performance Computing, 2020

2019

Reducing communication in parallel graph search algorithms with software caches.

Pietro Cicotti, Manu Shantharam, Laura Carrington

Int. J. High Perform. Comput. Appl., 2019

2018

Co-scheduling Amdahl applications on cache-partitioned systems.

Guillaume Aupy, Anne Benoit, Sicheng Dai, Loïc Pottier, Padma Raghavan, Yves Robert, Manu Shantharam

Int. J. High Perform. Comput. Appl., 2018

Understanding I/O Bottlenecks and Tuning for High Performance I/O on Large HPC Systems: A Case Study.

Manu Shantharam, Mahidhar Tatineni, Dong Ju Choi, Amitava Majumdar

Proceedings of the Practice and Experience on Advanced Research Computing, 2018

2017

Performance Evaluation of Scale-Free Graph Algorithms in Low Latency Non-volatile Memory.

Manu Shantharam, Keita Iwabuchi, Pietro Cicotti, Laura Carrington, Maya B. Gokhale, Roger A. Pearce

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

Co-Scheduling Algorithms for Cache-Partitioned Systems.

Guillaume Aupy, Anne Benoit, Loïc Pottier, Padma Raghavan, Yves Robert, Manu Shantharam

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

2016

Co-scheduling algorithms for high-throughput workload execution.

Guillaume Aupy, Manu Shantharam, Anne Benoit, Yves Robert, Padma Raghavan

J. Sched., 2016

2015

Tuning tasks, granularity, and scratchpad size for energy efficiency.

Pietro Cicotti, Manu Shantharam, Laura Carrington

Proceedings of the 2nd International Workshop on Hardware-Software Co-Design for High Performance Computing, 2015

2014

Nitro: A Framework for Adaptive Code Variant Tuning.

Saurav Muralidharan, Manu Shantharam, Mary W. Hall, Michael Garland, Bryan Catanzaro

Proceedings of the 2014 IEEE 28th International Parallel and Distributed Processing Symposium, 2014

Non-affine Extensions to Polyhedral Code Generation.

Anand Venkat, Manu Shantharam, Mary W. Hall, Michelle Mills Strout

Proceedings of the 12th Annual IEEE/ACM International Symposium on Code Generation and Optimization, 2014

2013

Speedup-Aware Co-Schedules for Efficient Workload Management.

Manu Shantharam, Youngtae Youn, Padma Raghavan

Parallel Process. Lett., 2013

Towards making autotuning mainstream.

Protonu Basu, Mary W. Hall, Malik Murtaza Khan, Suchit Maindola, Saurav Muralidharan, Shreyas Ramalingam, Axel Rivera, Manu Shantharam, Anand Venkat

Int. J. High Perform. Comput. Appl., 2013

2012

Fault tolerant preconditioned conjugate gradient for sparse linear system solution.

Manu Shantharam, Sowmyalatha Srinivasmurthy, Padma Raghavan

Proceedings of the International Conference on Supercomputing, 2012

Adapting Sparse Triangular Solution to GPUs.

Brad Suchoski, Caleb Severn, Manu Shantharam, Padma Raghavan

Proceedings of the 41st International Conference on Parallel Processing Workshops, 2012

2011

Exploiting dense substructures for fast sparse matrix vector multiplication.

Manu Shantharam, Anirban Chatterjee, Padma Raghavan

Int. J. High Perform. Comput. Appl., 2011

Characterizing the impact of soft errors on iterative methods in scientific computing.

Manu Shantharam, Sowmyalatha Srinivasmurthy, Padma Raghavan

Proceedings of the 25th International Conference on Supercomputing, 2011, Tucson, AZ, USA, May 31, 2011

2009

Hybrid Techniques for Fast Multicore Simulation.

Manu Shantharam, Padma Raghavan, Mahmut T. Kandemir

Proceedings of the Euro-Par 2009 Parallel Processing, 2009