Vignesh T. Ravi

Publication Activity (10 Years)

Years Active: 2009-2017
Publications (10 Years): 1

Top Topics

Graphics Hardware

Data Provenance

Heterogeneous Systems

Neighborhood Information

Top Venues

Future Gener. Comput. Syst.

Concurr. Comput. Pract. Exp.

Publications

Vignesh T. Ravi, James Erwin, Pradeep Sivakumar, C. Q. Tang, Jianxin Xiong, Ravindra Babu Ganapathi, Mark Debbage
Host Software Stack Optimizations to Maximize Aggregate Fabric Throughput. Hot Interconnects (2017)
Mai Zheng, Vignesh T. Ravi, Feng Qin, Gagan Agrawal
GMRace: Detecting Data Races in GPU Programs via a Low-Overhead Scheme. IEEE Trans. Parallel Distributed Syst. 25 (1) (2014)
Indrani Paul, Vignesh T. Ravi, Srilatha Manne, Manish Arora, Sudhakar Yalamanchili
Coordinated energy management in heterogeneous processors. Sci. Program. 22 (2) (2014)
Vignesh T. Ravi, Michela Becchi, Wei Jiang, Gagan Agrawal, Srimat T. Chakradhar
Scheduling concurrent applications on a cluster of CPU-GPU nodes. Future Gener. Comput. Syst. 29 (8) (2013)
Indrani Paul, Vignesh T. Ravi, Srilatha Manne, Manish Arora, Sudhakar Yalamanchili
Coordinated energy management in heterogeneous processors. SC (2013)
Vignesh T. Ravi, Michela Becchi, Gagan Agrawal, Srimat T. Chakradhar
ValuePack: value-based scheduling framework for CPU-GPU clusters. SC (2012)
Michela Becchi, Kittisak Sajjapongse, Ian Graves, Adam M. Procter, Vignesh T. Ravi, Srimat T. Chakradhar
A virtual memory based runtime to support multi-tenancy in clusters with GPUs. HPDC (2012)
Vignesh T. Ravi, Wenjing Ma, David Chiu, Gagan Agrawal
Compiler and runtime support for enabling reduction computations on heterogeneous systems. Concurr. Comput. Pract. Exp. 24 (5) (2012)
Vignesh T. Ravi, Michela Becchi, Wei Jiang, Gagan Agrawal, Srimat T. Chakradhar
Scheduling Concurrent Applications on a Cluster of CPU-GPU Nodes. CCGRID (2012)
Mai Zheng, Vignesh T. Ravi, Wenjing Ma, Feng Qin, Gagan Agrawal
GMProf: A low-overhead, fine-grained profiling approach for GPU programs. HiPC (2012)
Xin Huo, Vignesh T. Ravi, Wenjing Ma, Gagan Agrawal
An execution strategy and optimized runtime support for parallelizing irregular reductions on modern GPUs. ICS (2011)
Vignesh T. Ravi, Michela Becchi, Gagan Agrawal, Srimat T. Chakradhar
Supporting GPU sharing in cloud environments with a transparent runtime consolidation framework. HPDC (2011)
Xin Huo, Vignesh T. Ravi, Gagan Agrawal
Porting irregular reductions on heterogeneous CPU-GPU configurations. HiPC (2011)
Vignesh T. Ravi, Gagan Agrawal
A dynamic scheduling framework for emerging heterogeneous systems. HiPC (2011)
Mai Zheng, Vignesh T. Ravi, Feng Qin, Gagan Agrawal
GRace: a low-overhead mechanism for detecting data races in GPU programs. PPOPP (2011)
Venkatram Ramanathan, Wenjing Ma, Vignesh T. Ravi, Tantan Liu, Gagan Agrawal
Parallelizing an Information Theoretic Co-clustering Algorithm Using a Cloud Middleware. ICDM Workshops (2010)
Xin Huo, Vignesh T. Ravi, Wenjing Ma, Gagan Agrawal
Approaches for parallelizing reductions on modern GPUs. HiPC (2010)
Vignesh T. Ravi, Wenjing Ma, David Chiu, Gagan Agrawal
Compiler and runtime support for enabling generalized reduction computations on heterogeneous parallel configurations. ICS (2010)
Wei Jiang, Vignesh T. Ravi, Gagan Agrawal
A Map-Reduce System with an Alternate API for Multi-core Environments. CCGRID (2010)
Leonid Glimcher, Vignesh T. Ravi, Gagan Agrawal
Supporting load balancing for distributed data-intensive applications. HiPC (2009)
Wei Jiang, Vignesh T. Ravi, Gagan Agrawal
Comparing map-reduce and FREERIDE for data-intensive applications. CLUSTER (2009)
Vignesh T. Ravi, Gagan Agrawal
Performance Issues in Parallelizing Data-Intensive Applications on a Multi-core Cluster. CCGRID (2009)
Vignesh T. Ravi, Gagan Agrawal
Integrating and optimizing transactional memory in a data mining middleware. HiPC (2009)