Vignesh T. Ravi

23 papers A 6B 4C 1Misc 6Journal 4Unranked 2
YearRankTypeTitle / Venue / Authors
2017 — conf
Host Software Stack Optimizations to Maximize Aggregate Fabric Throughput.
Hot Interconnects
Vignesh T. Ravi, James Erwin, Pradeep Sivakumar, C. Q. Tang, Jianxin Xiong, Ravindra Babu Ganapathi, Mark Debbage
2014 J jnl
Coordinated energy management in heterogeneous processors.
Sci. Program.
Indrani Paul, Vignesh T. Ravi, Srilatha Manne, Manish Arora, Sudhakar Yalamanchili
2014 J jnl
GMRace: Detecting Data Races in GPU Programs via a Low-Overhead Scheme.
IEEE Trans. Parallel Distributed Syst.
Mai Zheng, Vignesh T. Ravi, Feng Qin, Gagan Agrawal
2013 A conf
Coordinated energy management in heterogeneous processors.
SC
Indrani Paul, Vignesh T. Ravi, Srilatha Manne, Manish Arora, Sudhakar Yalamanchili
2013 J jnl
Scheduling concurrent applications on a cluster of CPU-GPU nodes.
Future Gener. Comput. Syst.
Vignesh T. Ravi, Michela Becchi, Wei Jiang, Gagan Agrawal, Srimat T. Chakradhar
2012 A conf
A virtual memory based runtime to support multi-tenancy in clusters with GPUs.
HPDC
Michela Becchi, Kittisak Sajjapongse, Ian Graves, Adam M. Procter, Vignesh T. Ravi, Srimat T. Chakradhar
2012 J jnl
Compiler and runtime support for enabling reduction computations on heterogeneous systems.
Concurr. Comput. Pract. Exp.
Vignesh T. Ravi, Wenjing Ma, David Chiu, Gagan Agrawal
2012 Misc conf
GMProf: A low-overhead, fine-grained profiling approach for GPU programs.
HiPC
Mai Zheng, Vignesh T. Ravi, Wenjing Ma, Feng Qin, Gagan Agrawal
2012 B conf
Scheduling Concurrent Applications on a Cluster of CPU-GPU Nodes.
CCGRID
Vignesh T. Ravi, Michela Becchi, Wei Jiang, Gagan Agrawal, Srimat T. Chakradhar
2012 A conf
ValuePack: value-based scheduling framework for CPU-GPU clusters.
SC
Vignesh T. Ravi, Michela Becchi, Gagan Agrawal, Srimat T. Chakradhar
2011 Misc conf
A dynamic scheduling framework for emerging heterogeneous systems.
HiPC
Vignesh T. Ravi, Gagan Agrawal
2011 A conf
An execution strategy and optimized runtime support for parallelizing irregular reductions on modern GPUs.
ICS
Xin Huo, Vignesh T. Ravi, Wenjing Ma, Gagan Agrawal
2011 B conf
GRace: a low-overhead mechanism for detecting data races in GPU programs.
PPoPP
Mai Zheng, Vignesh T. Ravi, Feng Qin, Gagan Agrawal
2011 Misc conf
Porting irregular reductions on heterogeneous CPU-GPU configurations.
HiPC
Xin Huo, Vignesh T. Ravi, Gagan Agrawal
2011 A conf
Supporting GPU sharing in cloud environments with a transparent runtime consolidation framework.
HPDC
Vignesh T. Ravi, Michela Becchi, Gagan Agrawal, Srimat T. Chakradhar
2010 B conf
A Map-Reduce System with an Alternate API for Multi-core Environments.
CCGRID
Wei Jiang, Vignesh T. Ravi, Gagan Agrawal
2010 Misc conf
Approaches for parallelizing reductions on modern GPUs.
HiPC
Xin Huo, Vignesh T. Ravi, Wenjing Ma, Gagan Agrawal
2010 A conf
Compiler and runtime support for enabling generalized reduction computations on heterogeneous parallel configurations.
ICS
Vignesh T. Ravi, Wenjing Ma, David Chiu, Gagan Agrawal
2010 — conf
Parallelizing an Information Theoretic Co-clustering Algorithm Using a Cloud Middleware.
ICDM Workshops
Venkatram Ramanathan, Wenjing Ma, Vignesh T. Ravi, Tantan Liu, Gagan Agrawal
2009 C conf
Comparing map-reduce and FREERIDE for data-intensive applications.
CLUSTER
Wei Jiang, Vignesh T. Ravi, Gagan Agrawal
2009 Misc conf
Integrating and optimizing transactional memory in a data mining middleware.
HiPC
Vignesh T. Ravi, Gagan Agrawal
2009 B conf
Performance Issues in Parallelizing Data-Intensive Applications on a Multi-core Cluster.
CCGRID
Vignesh T. Ravi, Gagan Agrawal
2009 Misc conf
Supporting load balancing for distributed data-intensive applications.
HiPC
Leonid Glimcher, Vignesh T. Ravi, Gagan Agrawal