Manu Shantharam

发表

Anshu Dubey, Kenjiro Taura, Yonghong Yan, 2005, PerCom Workshops.

Tuning tasks, granularity, and scratchpad size for energy efficiency

Laura Carrington, Manu Shantharam, Pietro Cicotti, 2015, Co-HPC@SC.

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

Maya Gokhale, Roger A. Pearce, Laura Carrington, 2017, 2017 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).

Hybrid Techniques for Fast Multicore Simulation

Mahmut T. Kandemir, Padma Raghavan, Manu Shantharam, 2009, Euro-Par.

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

Padma Raghavan, Manu Shantharam, Sowmyalatha Srinivasmurthy, 2011, ICS '11.

Selective Protection for Sparse Iterative Solvers to Reduce the Resilience Overhead

Padma Raghavan, Hongyang Sun, Manu Shantharam, 2020, 2020 IEEE 32nd International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD).

Reducing communication in parallel graph search algorithms with software caches

Laura Carrington, Manu Shantharam, Pietro Cicotti, 2019, Int. J. High Perform. Comput. Appl..

Adapting Sparse Triangular Solution to GPUs

Padma Raghavan, Manu Shantharam, Brad Suchoski, 2012, 2012 41st International Conference on Parallel Processing Workshops.

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

Viswanath Nandigam, Subhashini Sivagnanam, Manu Shantharam, 2020, PEARC.

Speedup-Aware Co-Schedules for Efficient Workload Management

Padma Raghavan, Manu Shantharam, Youngtae Youn, 2013, Parallel Process. Lett..

Co-Scheduling High-Performance Computing Applications

Yves Robert, Guillaume Aupy, Anne Benoit, 2017 .

Co-scheduling algorithms for high-throughput workload execution

Yves Robert, Guillaume Aupy, Anne Benoit, 2013, Journal of Scheduling.

Nitro: A Framework for Adaptive Code Variant Tuning

Michael Garland, Mary W. Hall, Bryan Catanzaro, 2014, 2014 IEEE 28th International Parallel and Distributed Processing Symposium.

Workshop Organization

Brad Chamberlain, Anshu Dubey, Yonghong Yan, 2005, PerCom Workshops.

Algorithmic approaches for enhancing speedup, energy and resiliency measures of sparse scientific computations

Padma Raghavan, Manu Shantharam, 2012 .

Towards building a Fault Tolerant and Secure Open Science Chain

Manu Shantharam, Manu Shantharam, 2020 .

Co-Scheduling Algorithms for Cache-Partitioned Systems

Yves Robert, Guillaume Aupy, Anne Benoit, 2017, 2017 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).

Co-scheduling Amdahl applications on cache-partitioned systems

Yves Robert, Guillaume Aupy, Anne Benoit, 2018, Int. J. High Perform. Comput. Appl..

Exploiting dense substructures for fast sparse matrix vector multiplication

Padma Raghavan, Anirban Chatterjee, Manu Shantharam, 2011, Int. J. High Perform. Comput. Appl..

Fault tolerant preconditioned conjugate gradient for sparse linear system solution

Padma Raghavan, Manu Shantharam, Sowmyalatha Srinivasmurthy, 2012, ICS '12.

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

Mahidhar Tatineni, Amitava Majumdar, Manu Shantharam, 2018, PEARC.

Non-affine Extensions to Polyhedral Code Generation

Mary W. Hall, Anand Venkat, Michelle Mills Strout, 2014, CGO '14.

Towards making autotuning mainstream

Mary W. Hall, Protonu Basu, Malik Murtaza Khan, 2013, Int. J. High Perform. Comput. Appl..

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

Mahidhar Tatineni, Ilkay Altintas, Mary Thomas, 2021, PEARC.