NOWLAB :: Publications

Journals (1)
1	K. Hamidouche, A. Venkatesh, Ammar Awan, H. Subramoni, and DK Panda, CUDA-Aware OpenSHMEM: Extensions and Designs for High Performance OpenSHMEM on GPU Clusters, ParCo: Elsevier Parallel Computing Journal ,

Conferences & Workshops (29)
1	MPI-GDS: High Performance MPI Designs with GPUDirect-aSync for CPU-GPU Control Flow Decoupling A. Venkatesh, C. Chu, K. Hamidouche, S. Potluri, Davide Rossetti, and DK Panda, ICPP 2017 : International Conference on Parallel Processing, Aug 2017 [Bib - Plain]
2	CUDA M3: Designing Efficient CUDA Managed Memory-aware MPI by Exploiting GDR and IPC K. Hamidouche, Ammar Awan, A. Venkatesh, and DK Panda, 23rd IEEE International Conference on High Performance Computing, Data, and Analytics, Dec 2016 [Bib - Plain]
3	Efficient Reliability Support for Hardware Multicast-based Broadcast in GPU-enabled Streaming Applications C. Chu, K. Hamidouche, H. Subramoni, A. Venkatesh, B. Elton, and DK Panda, First Workshop on Optimization of Communication in HPC runtime systems (COMHPC, SC Workshop), Nov 2016 [Bib - Plain]
4	Designing High Performance Heterogeneous Broadcast for Streaming Applications on GPU Clusters C. Chu, K. Hamidouche, H. Subramoni, A. Venkatesh, B. Elton, and DK Panda, 28th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD'16), Oct 2016 [Bib - Plain]
5	Efficient Large Message Broadcast using NCCL and CUDA-Aware MPI for Deep Learning Ammar Awan, K. Hamidouche, A. Venkatesh, and DK Panda, The 23rd European MPI Users' Group Meeting (EuroMPI 16), Sep 2016 [Best Paper Runner-Up] [Bib - Plain]
6	Exploiting Maximal Overlap for Non-Contiguous Data Movement Processing on Modern GPU-enabled System C. Chu, K. Hamidouche, A. Venkatesh, D. Banerjee, H. Subramoni, and DK Panda, The 30th IEEE International Parallel & Distributed Processing Symposium (IPDPS '16), May 2016 [Bib - Plain]
7	CUDA Kernel based Collective Reduction Operations on Large-scale GPU Clusters C. Chu, K. Hamidouche, A. Venkatesh, Ammar Awan, and DK Panda, 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid'16), May 2016 [Bib - Plain]
8	Offloaded GPU Collectives using CORE-Direct and CUDA Capabilities on IB Clusters A. Venkatesh, K. Hamidouche, H. Subramoni, and DK Panda, 22nd IEEE International Conference on High Performance Computing, Dec 2015 [Bib - Plain]
9	A Case for Application-Oblivious Energy-Efficient MPI Runtime A. Venkatesh, A. Vishnu, K. Hamidouche, N. Tallent, DK Panda, D. Kerbyson, and A. Hoise, Supercomputing 2015, Nov 2015 [Best Student Paper Finalist] [Bib - Plain]
10	GPU-Aware Design, Implementation, and Evaluation of Non-blocking Collective Benchmarks Ammar Awan, K. Hamidouche, A. Venkatesh, J. Perkins, H. Subramoni, and DK Panda, EuroMPI 2015, Sep 2015 [Bib - Plain]
11	Exploiting GPUDirect RDMA in Designing High Performance OpenSHMEM for NVIDIA GPU Clusters K. Hamidouche, A. Venkatesh, Ammar Awan, H. Subramoni, and DK Panda, IEEE Cluster 2015, Sep 2015 [Bib - Plain]
12	Impact of InfiniBand DC Transport Protocol on Energy Consumption of All-to-all Collective Algorithms H. Subramoni, A. Venkatesh, K. Hamidouche, K. Tomko, and DK Panda, 23rd International Symposium on High Performance Interconnects 2015, Aug 2015 [Bib - Plain]
13	Designing Non-Blocking Personalized Collectives with Near Perfect Overlap for RDMA-Enabled Clusters H. Subramoni, Ammar Awan, K. Hamidouche, D. Pekurovsky, A. Venkatesh, S. Chakraborty, K. Tomko, and DK Panda, ISC '15, Jul 2015 [Bib - Plain]
14	Power-Check: An Energy-Efficient Checkpointing Framework for HPC Clusters R. Rajachandrasekar, A. Venkatesh, K. Hamidouche, and DK Panda, CCGrid '15, May 2015 [Bib - Plain]
15	Non-blocking PMI Extensions for Fast MPI Startup S. Chakraborty, H. Subramoni, A. Moody, A. Venkatesh, J. Perkins, and DK Panda, CCGrid '15, May 2015 [Bib - Plain]
16	A High Performance Broadcast Design with Hardware Multicast and GPUDirect RDMA for Streaming Applications on Infiniband Clusters A. Venkatesh, H. Subramoni, K. Hamidouche, and DK Panda, IEEE International Conference on High Performance Computing (HiPC ’14), Dec 2014 [Bib - Plain]
17	MIC-Check: A Distributed Checkpointing Framework for the Intel Many Integrated Cores Architecture R. Rajachandrasekar, S. Potluri, A. Venkatesh, K. Hamidouche, M. W. Rahman, and DK Panda, International Symposium on High Performance and Distributed Computing (HPDC), Jun 2014 [Bib - Plain]
18	Designing MPI Library with Dynamic Connected Transport (DCT) of InfiniBand : Early Experiences H. Subramoni, K. Hamidouche, A. Venkatesh, S. Chakraborty, and DK Panda, IEEE International Supercomputing Conference (ISC ’14), Jun 2014 [Bib - Plain]
19	High Performance Alltoall and Allgather designs for InfiniBand MIC Clusters A. Venkatesh, S. Potluri, R. Rajachandrasekar, M. Luo, K. Hamidouche, and DK Panda, International Parallel and Distributed Processing Symposium (IPDPS’14), May 2014 [Bib - Plain]
20	Optimizing Collective Communication in UPC J. Jose, K. Hamidouche, J. Zhang, A. Venkatesh, and DK Panda, International Workshop on High-Level Parallel Programming Models and Supportive Environments (HIPS '14), May 2014 [Slides] [Bib - Plain]
21	A Comprehensive Performance Evaluation of OpenSHMEM Libraries on InfiniBand Clusters J. Jose, J. Zhang, A. Venkatesh, S. Potluri, and DK Panda, OpenSHMEM Workshop, Mar 2014 [Bib - Plain]
22	MVAPICH-PRISM: A Proxy-based Communication Framework using InfiniBand and SCIF for Intel MIC Clusters S. Potluri, D. Bureddy, K. Hamidouche, A. Venkatesh, K. Kandalla, H. Subramoni, and DK Panda, Internationall Conference on Supercomputing, Nov 2013 [Bib - Plain]
23	UPC on MIC: Early Experiences with Native and Symmetric Modes M. Luo, M. Li, A. Venkatesh, X. Lu, and DK Panda, International Conference on Partitioned Global Address Space Programming Models (PGAS '13), Oct 2013 [Bib - Plain]
24	Efficient Inter-node MPI Communication using GPUDirect RDMA for InfiniBand Clusters with NVIDIA GPUs S. Potluri, K. Hamidouche, A. Venkatesh, D. Bureddy, and DK Panda, International Conference on Parallel Processing 2013, Oct 2013 [Bib - Plain]
25	Designing Optimized MPI Broadcast and Allreduce for Many Integrated Core (MIC) InfiniBand Clusters K. Kandalla, A. Venkatesh, K. Hamidouche, S. Potluri, and DK Panda, International Symposium on High-Performance Interconnects (HotI '13), Aug 2013 [Bib - Plain]
26	Optimized MPI Gather collective for Many Integrated Core (MIC) InfiniBand Clusters A. Venkatesh, K. Kandalla, and DK Panda, Extreme Scaling Workshop, Aug 2013 [Bib - Plain]
27	Evaluation of Energy Characteristics of MPI Communication Primitives with RAPL A. Venkatesh, K. Kandalla, and DK Panda, International Workshop on High Performance (High-Performance, Power-Aware Computing Workshop), May 2013 [Bib - Plain]
28	OMB-GPU: A Micro-benchmark suite for Evaluating MPI Libraries on GPU Clusters D. Bureddy, H. Wang, A. Venkatesh, S. Potluri, and DK Panda, EuroMPI 2012, Sep 2012 [Bib - Plain]
29	Efficient Intra-node Communication on Intel-MIC Clusters S. Potluri, A. Venkatesh, D. Bureddy, K. Kandalla, and DK Panda, International Symposium on Cluster, May 2011 [Slides] [Bib - Plain]

Ph.D. Disserations (1)
1	A. Venkatesh, High-Performance Heterogeneity/Energy-Aware Communication for MultiPetaflop HPC Systems, Dec 2016

NOWLAB: Network Based Computing Lab

This page lists the publications by Akshay Venkatesh

Journals (1)

Conferences & Workshops (29)

MPI-GDS: High Performance MPI Designs with GPUDirect-aSync for CPU-GPU Control Flow Decoupling

CUDA M3: Designing Efficient CUDA Managed Memory-aware MPI by Exploiting GDR and IPC

Efficient Reliability Support for Hardware Multicast-based Broadcast in GPU-enabled Streaming Applications

Designing High Performance Heterogeneous Broadcast for Streaming Applications on GPU Clusters

Efficient Large Message Broadcast using NCCL and CUDA-Aware MPI for Deep Learning

Exploiting Maximal Overlap for Non-Contiguous Data Movement Processing on Modern GPU-enabled System

CUDA Kernel based Collective Reduction Operations on Large-scale GPU Clusters

Offloaded GPU Collectives using CORE-Direct and CUDA Capabilities on IB Clusters

A Case for Application-Oblivious Energy-Efficient MPI Runtime

GPU-Aware Design, Implementation, and Evaluation of Non-blocking Collective Benchmarks

Exploiting GPUDirect RDMA in Designing High Performance OpenSHMEM for NVIDIA GPU Clusters

Impact of InfiniBand DC Transport Protocol on Energy Consumption of All-to-all Collective Algorithms

Designing Non-Blocking Personalized Collectives with Near Perfect Overlap for RDMA-Enabled Clusters

Power-Check: An Energy-Efficient Checkpointing Framework for HPC Clusters

Non-blocking PMI Extensions for Fast MPI Startup

A High Performance Broadcast Design with Hardware Multicast and GPUDirect RDMA for Streaming Applications on Infiniband Clusters

MIC-Check: A Distributed Checkpointing Framework for the Intel Many Integrated Cores Architecture

Designing MPI Library with Dynamic Connected Transport (DCT) of InfiniBand : Early Experiences

High Performance Alltoall and Allgather designs for InfiniBand MIC Clusters

Optimizing Collective Communication in UPC

A Comprehensive Performance Evaluation of OpenSHMEM Libraries on InfiniBand Clusters

MVAPICH-PRISM: A Proxy-based Communication Framework using InfiniBand and SCIF for Intel MIC Clusters

UPC on MIC: Early Experiences with Native and Symmetric Modes

Efficient Inter-node MPI Communication using GPUDirect RDMA for InfiniBand Clusters with NVIDIA GPUs

Designing Optimized MPI Broadcast and Allreduce for Many Integrated Core (MIC) InfiniBand Clusters

Optimized MPI Gather collective for Many Integrated Core (MIC) InfiniBand Clusters

Evaluation of Energy Characteristics of MPI Communication Primitives with RAPL

OMB-GPU: A Micro-benchmark suite for Evaluating MPI Libraries on GPU Clusters

Efficient Intra-node Communication on Intel-MIC Clusters

Ph.D. Disserations (1)