Vignesh T. Ravi

According to our database, Vignesh T. Ravi authored at least 21 papers between 2009 and 2017.

Collaborative distances:

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

2017

Host Software Stack Optimizations to Maximize Aggregate Fabric Throughput.

Vignesh T. Ravi, James Erwin, Pradeep Sivakumar, C. Q. Tang, Jianxin Xiong, Ravindra Babu Ganapathi, Mark Debbage

Proceedings of the 25th IEEE Annual Symposium on High-Performance Interconnects, 2017

2014

GMRace: Detecting Data Races in GPU Programs via a Low-Overhead Scheme.

Mai Zheng, Vignesh T. Ravi, Feng Qin, Gagan Agrawal

IEEE Trans. Parallel Distributed Syst., 2014

Coordinated energy management in heterogeneous processors.

Indrani Paul, Vignesh T. Ravi, Srilatha Manne, Manish Arora, Sudhakar Yalamanchili

Sci. Program., 2014

2013

Scheduling concurrent applications on a cluster of CPU-GPU nodes.

Vignesh T. Ravi, Michela Becchi, Wei Jiang, Gagan Agrawal, Srimat T. Chakradhar

Future Gener. Comput. Syst., 2013

2012

Compiler and runtime support for enabling reduction computations on heterogeneous systems.

Vignesh T. Ravi, Wenjing Ma, David Chiu, Gagan Agrawal

Concurr. Comput. Pract. Exp., 2012

ValuePack: value-based scheduling framework for CPU-GPU clusters.

Vignesh T. Ravi, Michela Becchi, Gagan Agrawal, Srimat T. Chakradhar

Proceedings of the SC Conference on High Performance Computing Networking, 2012

A virtual memory based runtime to support multi-tenancy in clusters with GPUs.

Michela Becchi, Kittisak Sajjapongse, Ian Graves, Adam M. Procter, Vignesh T. Ravi, Srimat T. Chakradhar

Proceedings of the 21st International Symposium on High-Performance Parallel and Distributed Computing, 2012

GMProf: A low-overhead, fine-grained profiling approach for GPU programs.

Mai Zheng, Vignesh T. Ravi, Wenjing Ma, Feng Qin, Gagan Agrawal

Proceedings of the 19th International Conference on High Performance Computing, 2012

2011

GRace: a low-overhead mechanism for detecting data races in GPU programs.

Mai Zheng, Vignesh T. Ravi, Feng Qin, Gagan Agrawal

Proceedings of the 16th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2011

An execution strategy and optimized runtime support for parallelizing irregular reductions on modern GPUs.

Xin Huo, Vignesh T. Ravi, Wenjing Ma, Gagan Agrawal

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

Supporting GPU sharing in cloud environments with a transparent runtime consolidation framework.

Vignesh T. Ravi, Michela Becchi, Gagan Agrawal, Srimat T. Chakradhar

Proceedings of the 20th ACM International Symposium on High Performance Distributed Computing, 2011

A dynamic scheduling framework for emerging heterogeneous systems.

Vignesh T. Ravi, Gagan Agrawal

Proceedings of the 18th International Conference on High Performance Computing, 2011

Porting irregular reductions on heterogeneous CPU-GPU configurations.

Xin Huo, Vignesh T. Ravi, Gagan Agrawal

Proceedings of the 18th International Conference on High Performance Computing, 2011

2010

Compiler and runtime support for enabling generalized reduction computations on heterogeneous parallel configurations.

Vignesh T. Ravi, Wenjing Ma, David Chiu, Gagan Agrawal

Proceedings of the 24th International Conference on Supercomputing, 2010

Parallelizing an Information Theoretic Co-clustering Algorithm Using a Cloud Middleware.

Venkatram Ramanathan, Wenjing Ma, Vignesh T. Ravi, Tantan Liu, Gagan Agrawal

Proceedings of the ICDMW 2010, 2010

Approaches for parallelizing reductions on modern GPUs.

Xin Huo, Vignesh T. Ravi, Wenjing Ma, Gagan Agrawal

Proceedings of the 2010 International Conference on High Performance Computing, 2010

A Map-Reduce System with an Alternate API for Multi-core Environments.

Wei Jiang, Vignesh T. Ravi, Gagan Agrawal

Proceedings of the 10th IEEE/ACM International Conference on Cluster, 2010

2009

Integrating and optimizing transactional memory in a data mining middleware.

Vignesh T. Ravi, Gagan Agrawal

Proceedings of the 16th International Conference on High Performance Computing, 2009

Supporting load balancing for distributed data-intensive applications.

Leonid Glimcher, Vignesh T. Ravi, Gagan Agrawal

Proceedings of the 16th International Conference on High Performance Computing, 2009

Comparing map-reduce and FREERIDE for data-intensive applications.

Wei Jiang, Vignesh T. Ravi, Gagan Agrawal

Proceedings of the 2009 IEEE International Conference on Cluster Computing, August 31, 2009

Performance Issues in Parallelizing Data-Intensive Applications on a Multi-core Cluster.

Vignesh T. Ravi, Gagan Agrawal

Proceedings of the 9th IEEE/ACM International Symposium on Cluster Computing and the Grid, 2009