Performance Issues in Parallelizing Data-Intensive Applications on a Multi-core Cluster. - Vignesh T. Ravi; Gagan Agrawal (CCGRID, 2009)

Comparing map-reduce and FREERIDE for data-intensive applications. - Wei Jiang 037; Vignesh T. Ravi; Gagan Agrawal (CLUSTER, 2009)

Supporting load balancing for distributed data-intensive applications. - Leonid Glimcher; Vignesh T. Ravi; Gagan Agrawal (HiPC, 2009)

Integrating and optimizing transactional memory in a data mining middleware. - Vignesh T. Ravi; Gagan Agrawal (HiPC, 2009)

A Map-Reduce System with an Alternate API for Multi-core Environments. - Wei Jiang 037; Vignesh T. Ravi; Gagan Agrawal (CCGRID, 2010)

Approaches for parallelizing reductions on modern GPUs. - Xin Huo; Vignesh T. Ravi; Wenjing Ma; Gagan Agrawal (HiPC, 2010)

Parallelizing an Information Theoretic Co-clustering Algorithm Using a Cloud Middleware. - Venkatram Ramanathan; Wenjing Ma; Vignesh T. Ravi; Tantan Liu; Gagan Agrawal (ICDM Workshops, 2010)

Compiler and runtime support for enabling generalized reduction computations on heterogeneous parallel configurations. - Vignesh T. Ravi; Wenjing Ma; David Chiu 001; Gagan Agrawal (ICS, 2010)

Porting irregular reductions on heterogeneous CPU-GPU configurations. - Xin Huo; Vignesh T. Ravi; Gagan Agrawal (HiPC, 2011)

A dynamic scheduling framework for emerging heterogeneous systems. - Vignesh T. Ravi; Gagan Agrawal (HiPC, 2011)

Supporting GPU sharing in cloud environments with a transparent runtime consolidation framework. - Vignesh T. Ravi; Michela Becchi; Gagan Agrawal; Srimat T. Chakradhar (HPDC, 2011)

An execution strategy and optimized runtime support for parallelizing irregular reductions on modern GPUs. - Xin Huo; Vignesh T. Ravi; Wenjing Ma; Gagan Agrawal (ICS, 2011)

GRace: a low-overhead mechanism for detecting data races in GPU programs. - Mai Zheng; Vignesh T. Ravi; Feng Qin; Gagan Agrawal (PPoPP, 2011)

GMProf: A low-overhead, fine-grained profiling approach for GPU programs. - Mai Zheng; Vignesh T. Ravi; Wenjing Ma; Feng Qin; Gagan Agrawal (HiPC, 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 (HPDC, 2012)

ValuePack: value-based scheduling framework for CPU-GPU clusters. - Vignesh T. Ravi; Michela Becchi; Gagan Agrawal; Srimat T. Chakradhar (SC, 2012)

Compiler and runtime support for enabling reduction computations on heterogeneous systems. - Vignesh T. Ravi; Wenjing Ma; David Chiu 001; Gagan Agrawal (Concurr. Comput. Pract. Exp., 2012)

Scheduling concurrent applications on a cluster of CPU-GPU nodes. - Vignesh T. Ravi; Michela Becchi; Wei Jiang 037; Gagan Agrawal; Srimat T. Chakradhar (Future Gener. Comput. Syst., 2013)

Coordinated energy management in heterogeneous processors. - Indrani Paul; Vignesh T. Ravi; Srilatha Manne; Manish Arora; Sudhakar Yalamanchili (Sci. Program., 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)

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 (Hot Interconnects, 2017)