Hybrid Techniques for Fast Multicore Simulation. - Manu Shantharam; Padma Raghavan; Mahmut T. Kandemir (Euro-Par, 2009)

Characterizing the impact of soft errors on iterative methods in scientific computing. - Manu Shantharam; Sowmyalatha Srinivasmurthy; Padma Raghavan (ICS, 2011)

Exploiting dense substructures for fast sparse matrix vector multiplication. - Manu Shantharam; Anirban Chatterjee; Padma Raghavan (Int. J. High Perform. Comput. Appl., 2011)

Adapting Sparse Triangular Solution to GPUs. - Brad Suchoski; Caleb Severn; Manu Shantharam; Padma Raghavan (ICPP Workshops, 2012)

Fault tolerant preconditioned conjugate gradient for sparse linear system solution. - Manu Shantharam; Sowmyalatha Srinivasmurthy; Padma Raghavan (ICS, 2012)

Towards making autotuning mainstream. - Protonu Basu; Mary W. Hall; Malik Murtaza Khan 001; Suchit Maindola; Saurav Muralidharan; Shreyas Ramalingam; Axel Rivera; Manu Shantharam; Anand Venkat (Int. J. High Perform. Comput. Appl., 2013)

Speedup-Aware Co-Schedules for Efficient Workload Management. - Manu Shantharam; Youngtae Youn; Padma Raghavan (Parallel Process. Lett., 2013)

Non-affine Extensions to Polyhedral Code Generation. - Anand Venkat; Manu Shantharam; Mary W. Hall; Michelle Mills Strout (CGO, 2014)

Nitro: A Framework for Adaptive Code Variant Tuning. - Saurav Muralidharan; Manu Shantharam; Mary W. Hall; Michael Garland; Bryan Catanzaro (IPDPS, 2014)

Tuning tasks, granularity, and scratchpad size for energy efficiency. - Pietro Cicotti; Manu Shantharam; Laura Carrington (Co-HPC@SC, 2015)

Co-scheduling algorithms for high-throughput workload execution. - Guillaume Aupy; Manu Shantharam; Anne Benoit; Yves Robert; Padma Raghavan (J. Sched., 2016)

Co-Scheduling Algorithms for Cache-Partitioned Systems. - Guillaume Aupy; Anne Benoit; Loïc Pottier; Padma Raghavan; Yves Robert; Manu Shantharam (IPDPS Workshops, 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 (IPDPS Workshops, 2017)

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 001 (PEARC, 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)

Reducing communication in parallel graph search algorithms with software caches. - Pietro Cicotti; Manu Shantharam; Laura Carrington (Int. J. High Perform. Comput. Appl., 2019)

Selective Protection for Sparse Iterative Solvers to Reduce the Resilience Overhead. - Hongyang Sun 001; Ana Gainaru; Manu Shantharam; Padma Raghavan (SBAC-PAD, 2020)

Research Workflows - Towards reproducible science via detailed provenance tracking in Open Science Chain. - Viswanath Nandigam; Kai Lin; Manu Shantharam; Scott Sakai; Subhashini Sivagnanam (PEARC, 2020)

Integrity Protection for Research Artifacts using Open Science Chain's Command Line Utility. - Manu Shantharam; Kai Lin; Scott Sakai; Subhashini Sivagnanam (PEARC, 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 001; Dmitry Mishin; Robert S. Sinkovits; Mike Norman; Nicole Wolter; Trevor Cooper; Ilkay Altintas; et al. (PEARC, 2021)

Interface for Sparse Linear Algebra Operations. - Ahmad Abdelfattah; Willow Ahrens; Hartwig Anzt; Chris Armstrong; Ben Brock; Aydin Buluç; Federico Busato; Terry Cojean; Timothy A. Davis 001; Jim Demmel; Grace Dinh; David Gardener; et al. (CoRR, 2024)