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2020 – today
- 2024
[j17]Tu Tran
, Bharath Ramesh, Benjamin Michalowicz, Mustafa Abduljabbar, Hari Subramoni, Aamir Shafi, Dhabaleswar K. Panda:
Accelerating communication with multi-HCA aware collectives in MPI. Concurr. Comput. Pract. Exp. 36(1) (2024)- [c169]Lang Xu, Quentin Anthony, Qinghua Zhou, Nawras Alnaasan, Radha Gulhane, Aamir Shafi, Hari Subramoni, Dhabaleswar K. D. K. Panda:
Accelerating Large Language Model Training with Hybrid GPU-based Compression. CCGrid 2024: 196-205 - [c168]Nawras Alnaasan, Horng-Ruey Huang, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda:
Characterizing Communication in Distributed Parameter-Efficient Fine-Tuning for Large Language Models. HOTI 2024: 11-19 - [c167]Tu Tran, Goutham Kalikrishna Reddy Kuncham, Bharath Ramesh, Shulei Xu, Hari Subramoni, Mustafa Abduljabbar, Dhabaleswar K. Panda:
OHIO: Improving RDMA Network Scalability in MPI_Alltoall Through Optimized Hierarchical and Intra/Inter-Node Communication Overlap Design. HOTI 2024: 47-56 - [c166]Quentin Anthony, Benjamin Michalowicz, Jacob Hatef, Lang Xu, Mustafa Abdul Jabbar, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda:
Demystifying the Communication Characteristics for Distributed Transformer Models. HOTI 2024: 57-65 - [c165]Quentin Anthony, Jacob Hatef, Deepak Narayanan, Stella Biderman, Stas Bekman, Junqi Yin, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda:
The Case for Co-Designing Model Architectures with Hardware. ICPP 2024: 84-96 - [c164]Dhabaleswar K. Panda, Hari Subramoni:
Message from the HCW 2024 Technical Program Committee Co-Chairs. IPDPS (Workshops) 2024: 1 - [c163]Dhabaleswar K. Panda, Hari Subramoni:
Message from the HCW 2024 Technical Program Committee Co-Chairs. IPDPS (Workshops) 2024: 4 - [c162]Mingzhe Han, Goutham Kalikrishna Reddy Kuncham, Benjamin Michalowicz, Rahul Vaidya, Mustafa Abduljabbar, Aamir Shafi, Hari Subramoni, Dhabaleswar K. D. K. Panda:
PML-MPI: A Pre-Trained ML Framework for Efficient Collective Algorithm Selection in MPI. IPDPS (Workshops) 2024: 761-770 - [c161]Bharath Ramesh, Nick Contini, Nawras Alnaasan, Kaushik Kandadi Suresh, Mustafa Abduljabbar, Aamir Shafi, Hari Subramoni, Dhabaleswar K. D. K. Panda:
HINT: Designing Cache-Efficient MPI_Alltoall using Hybrid Memory Copy Ordering and Non-Temporal Instructions. IPDPS 2024: 802-813 - [c160]Jinghan Yao, Quentin Anthony, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda:
Exploiting Inter-Layer Expert Affinity for Accelerating Mixture-of-Experts Model Inference. IPDPS 2024: 915-925 - [c159]Qinghua Zhou, Bharath Ramesh, Aamir Shafi, Mustafa Abduljabbar, Hari Subramoni, Dhabaleswar K. Panda:
Accelerating MPI AllReduce Communication with Efficient GPU-Based Compression Schemes on Modern GPU Clusters. ISC 2024: 1-12 - [c158]Nicholas Contini, Mustafa Abduljabbar, Hari Subramoni, Dhabaleswar K. Panda:
OMB-FPGA: A Microbenchmark Suite for FPGA-aware MPIs using OpenCL and SYCL. PEARC 2024: 1:1-1:9 - [c157]Radha Gulhane, Quentin Anthony, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda:
Infer-HiRes: Accelerating Inference for High-Resolution Images with Quantization and Distributed Deep Learning. PEARC 2024: 5:1-5:9 - [c156]Chen-Chun Chen, Goutham Kalikrishna Reddy Kuncham, Pouya Kousha, Hari Subramoni, Dhabaleswar K. Panda:
Design and Implementation of an IPC-based Collective MPI Library for Intel GPUs. PEARC 2024: 17:1-17:9 - [c155]Tu Tran, Mustafa Abduljabbar, HooYoung Ahn, SeonYoung Kim, Yoo-Mi Park, Woojong Han, Shin-Young Ahn, Hari Subramoni, Dhabaleswar K. Panda:
OMB-CXL: A Micro-Benchmark Suite for Evaluating MPI Communication Utilizing Compute Express Link Memory Devices. PEARC 2024: 27:1-27:8 - [i15]Jinghan Yao, Quentin Anthony, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda:
Exploiting Inter-Layer Expert Affinity for Accelerating Mixture-of-Experts Model Inference. CoRR abs/2401.08383 (2024) - [i14]Quentin Anthony, Jacob Hatef, Deepak Narayanan, Stella Biderman, Stas Bekman, Junqi Yin, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda:
The Case for Co-Designing Model Architectures with Hardware. CoRR abs/2401.14489 (2024) - [i13]Quentin Anthony, Benjamin Michalowicz, Jacob Hatef, Lang Xu, Mustafa Abduljabbar, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda:
Demystifying the Communication Characteristics for Distributed Transformer Models. CoRR abs/2408.10197 (2024) - [i12]Jinghan Yao, Sam Ade Jacobs, Masahiro Tanaka, Olatunji Ruwase, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda:
Training Ultra Long Context Language Model with Fully Pipelined Distributed Transformer. CoRR abs/2408.16978 (2024) - [i11]Lang Xu, Quentin Anthony, Qinghua Zhou, Nawras Alnaasan, Radha Gulhane, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda:
Accelerating Large Language Model Training with Hybrid GPU-based Compression. CoRR abs/2409.02423 (2024) - 2023
- [j16]Kawthar Shafie Khorassani, Chen-Chun Chen, Bharath Ramesh, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda:
High Performance MPI over the Slingshot Interconnect. J. Comput. Sci. Technol. 38(1): 128-145 (2023) - [j15]Kaushik Kandadi Suresh, Kawthar Shafie Khorassani, Chen-Chun Chen, Bharath Ramesh, Mustafa Abduljabbar, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda:
Network-Assisted Noncontiguous Transfers for GPU-Aware MPI Libraries. IEEE Micro 43(2): 131-139 (2023) - [c154]Pouya Kousha, Qinghua Zhou, Hari Subramoni, Dhabaleswar K. Panda:
Benchmarking Modern Databases for Storing and Profiling Very Large Scale HPC Communication Data. Bench 2023: 104-119 - [c153]Nawras Alnaasan, Matthew Lieber, Aamir Shafi, Hari Subramoni, Scott A. Shearer, Dhabaleswar K. Panda:
HARVEST: High-Performance Artificial Vision Framework for Expert Labeling using Semi-Supervised Training. IEEE Big Data 2023: 139-148 - [c152]Kinan Al-Attar, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda:
MPI4Spark Meets YARN: Enhancing MPI4Spark through YARN support for HPC. IEEE Big Data 2023: 2265-2274 - [c151]Chen-Chun Chen, Kawthar Shafie Khorassani, Goutham Kalikrishna Reddy Kuncham, Rahul Vaidya, Mustafa Abduljabbar, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda:
Implementing and Optimizing a GPU-aware MPI Library for Intel GPUs: Early Experiences. CCGrid 2023: 131-140 - [c150]Quentin Anthony, Lang Xu, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda:
ScaMP: Scalable Meta-Parallelism for Deep Learning Search. CCGridW 2023: 346-348 - [c149]Quentin Anthony, Lang Xu, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda:
ScaMP: Scalable Meta-Parallelism for Deep Learning Search. CCGrid 2023: 391-402 - [c148]Shulei Xu, Goutham Kalikrishna Reddy Kuncham, Mustafa Abduljabbar, Hari Subramoni, Dhabaleswar K. D. K. Panda:
Optimized All-to-All Connection Establishment for High-Performance MPI Libraries Over InfiniBand. HiPC 2023: 41-50 - [c147]Jinghan Yao, Nawras Alnaasan, Tian Chen, Aamir Shafi, Hari Subramoni, Dhabaleswar K. D. K. Panda:
Flover: A Temporal Fusion Framework for Efficient Autoregressive Model Parallel Inference. HiPC 2023: 107-116 - [c146]Bharath Ramesh, Goutham Kalikrishna Reddy Kuncham, Kaushik Kandadi Suresh, Rahul Vaidya, Nawras Alnaasan, Mustafa Abduljabbar, Aamir Shafi, Hari Subramoni, Dhabaleswar K. D. K. Panda:
Designing In-network Computing Aware Reduction Collectives in MPI. HOTI 2023: 25-32 - [c145]Benjamin Michalowicz, Kaushik Kandadi Suresh, Hari Subramoni, Dhabaleswar K. D. K. Panda, Stephen W. Poole:
Battle of the BlueFields: An In-Depth Comparison of the BlueField-2 and BlueField-3 SmartNICs. HOTI 2023: 41-48 - [c144]Hyunho Ahn, Tian Chen, Nawras Alnaasan, Aamir Shafi, Mustafa Abduljabbar, Hari Subramoni, Dhabaleswar K. Panda:
Performance Characterization of Using Quantization for DNN Inference on Edge Devices. ICFEC 2023: 1-6 - [c143]Nicholas Contini, Bharath Ramesh, Kaushik Kandadi Suresh, Tu Tran, Benjamin Michalowicz, Mustafa Abduljabbar, Hari Subramoni, Dhabaleswar K. Panda:
Enabling Reconfigurable HPC through MPI-based Inter-FPGA Communication. ICS 2023: 477-487 - [c142]Kaushik Kandadi Suresh, Benjamin Michalowicz, Bharath Ramesh, Nicholas Contini, Jinghan Yao, Shulei Xu, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda:
A Novel Framework for Efficient Offloading of Communication Operations to Bluefield SmartNICs. IPDPS 2023: 123-133 - [c141]Qinghua Zhou, Quentin Anthony, Lang Xu, Aamir Shafi, Mustafa Abduljabbar, Hari Subramoni, Dhabaleswar K. Panda:
Accelerating Distributed Deep Learning Training with Compression Assisted Allgather and Reduce-Scatter Communication. IPDPS 2023: 134-144 - [c140]Benjamin Michalowicz, Kaushik Kandadi Suresh, Bharath Ramesh, Aamir Shafi, Hari Subramoni, Mustafa Abduljabbar, Dhabaleswar K. Panda:
In-Depth Evaluation of a Lower-Level Direct-Verbs API on InfiniBand-based Clusters: Early Experiences. IPDPS Workshops 2023: 354-363 - [c139]Kawthar Shafie Khorassani, Chen-Chun Chen, Hari Subramoni, Dhabaleswar K. Panda:
Designing and Optimizing GPU-aware Nonblocking MPI Neighborhood Collective Communication for PETSc*. IPDPS 2023: 646-656 - [c138]Quentin Anthony, Ammar Ahmad Awan, Jeff Rasley, Yuxiong He, Aamir Shafi, Mustafa Abduljabbar, Hari Subramoni, Dhabaleswar K. Panda:
MCR-DL: Mix-and-Match Communication Runtime for Deep Learning. IPDPS 2023: 996-1006 - [c137]Pouya Kousha, Vivekananda Sathu, Matthew Lieber, Hari Subramoni, Dhabaleswar K. Panda:
Democratizing HPC Access and Use with Knowledge Graphs. SC Workshops 2023: 242-251 - [c136]Chen-Chun Chen, Kawthar Shafie Khorassani, Pouya Kousha, Qinghua Zhou, Jinghan Yao, Hari Subramoni, Dhabaleswar K. Panda:
MPI-xCCL: A Portable MPI Library over Collective Communication Libraries for Various Accelerators. SC Workshops 2023: 847-854 - [c135]Pouya Kousha, Arpan Jain, Ayyappa Kolli, Matthew Lieber, Mingzhe Han, Nicholas Contini, Hari Subramoni, Dhabaleswar K. Panda:
SAI: AI-Enabled Speech Assistant Interface for Science Gateways in HPC. ISC 2023: 402-424 - [c134]Benjamin Michalowicz, Kaushik Kandadi Suresh, Hari Subramoni, Dhabaleswar K. Panda, Steve Poole:
DPU-Bench: A Micro-Benchmark Suite to Measure Offload Efficiency Of SmartNICs. PEARC 2023: 94-101 - [c133]Samuel Khuvis, Karen Tomko, Scott R. Brozell, Chen-Chun Chen, Hari Subramoni, Dhabaleswar K. Panda:
Optimizing Amber for Device-to-Device GPU Communication. PEARC 2023: 200-205 - [i10]Hyunho Ahn, Tian Chen, Nawras Alnaasan, Aamir Shafi, Mustafa Abduljabbar, Hari Subramoni, Dhabaleswar K. Panda:
Performance Characterization of using Quantization for DNN Inference on Edge Devices: Extended Version. CoRR abs/2303.05016 (2023) - [i9]Quentin Anthony, Ammar Ahmad Awan, Jeff Rasley, Yuxiong He, Aamir Shafi, Mustafa Abduljabbar, Hari Subramoni, Dhabaleswar K. Panda:
MCR-DL: Mix-and-Match Communication Runtime for Deep Learning. CoRR abs/2303.08374 (2023) - [i8]Jinghan Yao, Nawras Alnaasan, Tian Chen, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda:
Flover: A Temporal Fusion Framework for Efficient Autoregressive Model Parallel Inference. CoRR abs/2305.13484 (2023) - 2022
- [j14]Arpan Jain, Nawras Alnaasan, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda:
Optimizing Distributed DNN Training Using CPUs and BlueField-2 DPUs. IEEE Micro 42(2): 53-60 (2022) - [c132]Kinan Al-Attar, Aamir Shafi, Mustafa Abduljabbar, Hari Subramoni, Dhabaleswar K. Panda:
Spark Meets MPI: Towards High-Performance Communication Framework for Spark using MPI. CLUSTER 2022: 71-81 - [c131]Apan Qasem, Hartwig Anzt, Eduard Ayguadé, Katharine J. Cahill, Ramon Canal, Jany Chan, Eric Fosler-Lussier, Fritz Göbel, Arpan Jain, Marcel Koch, Mateusz Kuzak, Josep Llosa, Raghu Machiraju, Xavier Martorell, Pratik Nayak, Shameema Oottikkal, Marcin Ostasz, Dhabaleswar K. Panda, Dirk Pleiter, Rajiv Ramnath, Maria-Ribera Sancho, Alessio Sclocco, Aamir Shafi, Hanno Spreeuw, Hari Subramoni, Karen Tomko:
Lightning Talks of EduHPC 2022. EduHPC@SC 2022: 42-49 - [c130]Qinghua Zhou, Quentin Anthony, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda:
Accelerating Broadcast Communication with GPU Compression for Deep Learning Workloads. HIPC 2022: 22-31 - [c129]Nawras Alnaasan, Arpan Jain, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda:
AccDP: Accelerated Data-Parallel Distributed DNN Training for Modern GPU-Based HPC Clusters. HIPC 2022: 32-41 - [c128]Bharath Ramesh, Qinghua Zhou, Aamir Shafi, Mustafa Abduljabbar, Hari Subramoni, Dhabaleswar K. Panda:
Designing Efficient Pipelined Communication Schemes using Compression in MPI Libraries. HIPC 2022: 95-99 - [c127]Kaushik Kandadi Suresh, Akshay Paniraja Guptha, Benjamin Michalowicz, Bharath Ramesh, Mustafa Abduljabbar, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda:
Efficient Personalized and Non-Personalized Alltoall Communication for Modern Multi-HCA GPU-Based Clusters. HIPC 2022: 100-104 - [c126]Kaushik Kandadi Suresh, Kawthar Shafie Khorassani, Chen-Chun Chen, Bharath Ramesh, Mustafa Abduljabbar, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda:
Network Assisted Non-Contiguous Transfers for GPU-Aware MPI Libraries. HOTI 2022: 13-20 - [c125]Tu Tran, Benjamin Michalowicz, Bharath Ramesh, Hari Subramoni, Aamir Shafi, Dhabaleswar K. Panda:
Designing Hierarchical Multi-HCA Aware Allgather in MPI. ICPP Workshops 2022: 28:1-28:10 - [c124]Chen-Chun Chen, Kawthar Shafie Khorassani, Quentin G. Anthony, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda:
Highly Efficient Alltoall and Alltoallv Communication Algorithms for GPU Systems. IPDPS Workshops 2022: 24-33 - [c123]Shulei Xu, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda:
Arm meets Cloud: A Case Study of MPI Library Performance on AWS Arm-based HPC Cloud with Elastic Fabric Adapter. IPDPS Workshops 2022: 449-456 - [c122]Kinan Al-Attar, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda:
Towards Java-based HPC using the MVAPICH2 Library: Early Experiences. IPDPS Workshops 2022: 510-519 - [c121]Nawras Alnaasan, Arpan Jain, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda:
OMB-Py: Python Micro-Benchmarks for Evaluating Performance of MPI Libraries on HPC Systems. IPDPS Workshops 2022: 870-879 - [c120]Qinghua Zhou, Pouya Kousha, Quentin Anthony, Kawthar Shafie Khorassani, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda:
Accelerating MPI All-to-All Communication with Online Compression on Modern GPU Clusters. ISC 2022: 3-25 - [c119]Pouya Kousha, Arpan Jain, Ayyappa Kolli, Prasanna Sainath, Hari Subramoni, Aamir Shafi, Dhabaleswar K. Panda:
"Hey CAI" - Conversational AI Enabled User Interface for HPC Tools. ISC 2022: 87-108 - [c118]Arpan Jain, Aamir Shafi, Quentin Anthony, Pouya Kousha, Hari Subramoni, Dhabaleswar K. Panda:
Hy-Fi: Hybrid Five-Dimensional Parallel DNN Training on High-Performance GPU Clusters. ISC 2022: 109-130 - [c117]Kawthar Shafie Khorassani, Chen-Chun Chen, Bharath Ramesh, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda:
High Performance MPI over the Slingshot Interconnect: Early Experiences. PEARC 2022: 15:1-15:7 - 2021
- [j13]Dhabaleswar Kumar Panda, Hari Subramoni, Ching-Hsiang Chu, Mohammadreza Bayatpour:
The MVAPICH project: Transforming research into high-performance MPI library for HPC community. J. Comput. Sci. 52: 101208 (2021) - [c116]Kawthar Shafie Khorassani, Ching-Hsiang Chu, Quentin G. Anthony, Hari Subramoni, Dhabaleswar K. Panda:
Adaptive and Hierarchical Large Message All-to-all Communication Algorithms for Large-scale Dense GPU Systems. CCGRID 2021: 113-122 - [c115]Aamir Shafi, Jahanzeb Maqbool Hashmi, Hari Subramoni, Dhabaleswar K. D. K. Panda:
Efficient MPI-based Communication for GPU-Accelerated Dask Applications. CCGRID 2021: 277-286 - [c114]Bharath Ramesh, Jahanzeb Maqbool Hashmi, Shulei Xu, Aamir Shafi, Seyedeh Mahdieh Ghazimirsaeed, Mohammadreza Bayatpour, Hari Subramoni, Dhabaleswar K. Panda:
Towards Architecture-aware Hierarchical Communication Trees on Modern HPC Systems. HiPC 2021: 272-281 - [c113]Yuntian He, Saket Gurukar, Pouya Kousha, Hari Subramoni, Dhabaleswar K. Panda, Srinivasan Parthasarathy:
DistMILE: A Distributed Multi-Level Framework for Scalable Graph Embedding. HiPC 2021: 282-291 - [c112]Kaushik Kandadi Suresh, Bharath Ramesh, Chen-Chun Chen, Seyedeh Mahdieh Ghazimirsaeed, Mohammadreza Bayatpour, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda:
Layout-aware Hardware-assisted Designs for Derived Data Types in MPI. HiPC 2021: 302-311 - [c111]Nick Sarkauskas, Mohammadreza Bayatpour, Tu Tran, Bharath Ramesh, Hari Subramoni, Dhabaleswar K. Panda:
Large-Message Nonblocking MPI_Iallgather and MPI Ibcast Offload via BlueField-2 DPU. HiPC 2021: 388-393 - [c110]Arpan Jain, Nawras Alnaasan, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda:
Accelerating CPU-based Distributed DNN Training on Modern HPC Clusters using BlueField-2 DPUs. HOTI 2021: 17-24 - [c109]Q. Zhou, C. Chu, N. S. Kumar, Pouya Kousha, Seyedeh Mahdieh Ghazimirsaeed, Hari Subramoni, Dhabaleswar K. Panda:
Designing High-Performance MPI Libraries with On-the-fly Compression for Modern GPU Clusters*. IPDPS 2021: 444-453 - [c108]Arpan Jain, Tim Moon, Tom Benson, Hari Subramoni, Sam Adé Jacobs, Dhabaleswar K. Panda, Brian Van Essen:
SUPER: SUb-Graph Parallelism for TransformERs. IPDPS 2021: 629-638 - [c107]Quentin Anthony, Lang Xu, Hari Subramoni, Dhabaleswar K. D. K. Panda:
Scaling Single-Image Super-Resolution Training on Modern HPC Clusters: Early Experiences. IPDPS Workshops 2021: 923-932 - [c106]Mohammadreza Bayatpour, Nick Sarkauskas, Hari Subramoni, Jahanzeb Maqbool Hashmi, Dhabaleswar K. Panda:
BluesMPI: Efficient MPI Non-blocking Alltoall Offloading Designs on Modern BlueField Smart NICs. ISC 2021: 18-37 - [c105]Kawthar Shafie Khorassani, Jahanzeb Maqbool Hashmi, Ching-Hsiang Chu, Chen-Chun Chen, Hari Subramoni, Dhabaleswar K. Panda:
Designing a ROCm-Aware MPI Library for AMD GPUs: Early Experiences. ISC 2021: 118-136 - [c104]Pouya Kousha, Kamal Raj Sankarapandian Dayala Ganesh Ram, Mansa Kedia, Hari Subramoni, Arpan Jain, Aamir Shafi, Dhabaleswar K. Panda, Trey Dockendorf, Heechang Na, Karen Tomko:
INAM: Cross-stack Profiling and Analysis of Communication in MPI-based Applications. PEARC 2021: 14:1-14:11 - [i7]Aamir Shafi, Jahanzeb Maqbool Hashmi, Hari Subramoni, Dhabaleswar K. Panda:
Efficient MPI-based Communication for GPU-Accelerated Dask Applications. CoRR abs/2101.08878 (2021) - [i6]Pouya Kousha, Quentin Anthony, Hari Subramoni, Dhabaleswar K. Panda:
Cross-layer Visualization and Profiling of Network and I/O Communication for HPC Clusters. CoRR abs/2109.08329 (2021) - [i5]Nawras Alnaasan, Arpan Jain, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda:
OMB-Py: Python Micro-Benchmarks for Evaluating Performance of MPI Libraries on HPC Systems. CoRR abs/2110.10659 (2021) - 2020
- [j12]Sourav Chakraborty, Ignacio Laguna, Murali Emani, Kathryn M. Mohror, Dhabaleswar K. Panda, Martin Schulz, Hari Subramoni:
EReinit: Scalable and efficient fault-tolerance for bulk-synchronous MPI applications. Concurr. Comput. Pract. Exp. 32(3) (2020) - [j11]Jahanzeb Maqbool Hashmi, Ching-Hsiang Chu, Sourav Chakraborty, Mohammadreza Bayatpour, Hari Subramoni, Dhabaleswar K. Panda:
FALCON-X: Zero-copy MPI derived datatype processing on modern CPU and GPU architectures. J. Parallel Distributed Comput. 144: 1-13 (2020) - [j10]Ammar Ahmad Awan, Arpan Jain, Ching-Hsiang Chu, Hari Subramoni, Dhabaleswar K. Panda:
Communication Profiling and Characterization of Deep-Learning Workloads on Clusters With High-Performance Interconnects. IEEE Micro 40(1): 35-43 (2020) - [c103]Mohammadreza Bayatpour, Seyedeh Mahdieh Ghazimirsaeed, Shulei Xu, Hari Subramoni, Dhabaleswar K. Panda:
Design and Characterization of InfiniBand Hardware Tag Matching in MPI. CCGRID 2020: 101-110 - [c102]Ching-Hsiang Chu, Kawthar Shafie Khorassani, Qinghua Zhou, Hari Subramoni, Dhabaleswar K. Panda:
Dynamic Kernel Fusion for Bulk Non-contiguous Data Transfer on GPU Clusters. CLUSTER 2020: 130-141 - [c101]Aamir Shafi, Jahanzeb Maqbool Hashmi, Hari Subramoni, Dhabaleswar K. Panda:
Blink: Towards Efficient RDMA-based Communication Coroutines for Parallel Python Applications. HiPC 2020: 111-120 - [c100]Ching-Hsiang Chu, Pouya Kousha, Ammar Ahmad Awan, Kawthar Shafie Khorassani, Hari Subramoni, Dhabaleswar K. D. K. Panda:
NV-group: link-efficient reduction for distributed deep learning on modern dense GPU systems. ICS 2020: 6:1-6:12 - [c99]Jahanzeb Maqbool Hashmi, Shulei Xu, Bharath Ramesh, Mohammadreza Bayatpour, Hari Subramoni, Dhabaleswar K. D. K. Panda:
Machine-agnostic and Communication-aware Designs for MPI on Emerging Architectures. IPDPS 2020: 32-41 - [c98]Amit Ruhela, Shulei Xu, Karthik Vadambacheri Manian, Hari Subramoni, Dhabaleswar K. Panda:
Analyzing and Understanding the Impact of Interconnect Performance on HPC, Big Data, and Deep Learning Applications: A Case Study with InfiniBand EDR and HDR. IPDPS Workshops 2020: 869-878 - [c97]Kaushik Kandadi Suresh, Bharath Ramesh, Seyedeh Mahdieh Ghazimirsaeed, Mohammadreza Bayatpour, Jahanzeb Maqbool Hashmi, Hari Subramoni, Dhabaleswar K. D. K. Panda:
Performance Characterization of Network Mechanisms for Non-Contiguous Data Transfers in MPI. IPDPS Workshops 2020: 896-905 - [c96]Quentin Anthony, Ammar Ahmad Awan, Arpan Jain, Hari Subramoni, Dhabaleswar K. D. K. Panda:
Efficient Training of Semantic Image Segmentation on Summit using Horovod and MVAPICH2-GDR. IPDPS Workshops 2020: 1015-1023 - [c95]Bharath Ramesh, Kaushik Kandadi Suresh, Nick Sarkauskas, Mohammadreza Bayatpour, Jahanzeb Maqbool Hashmi, Hari Subramoni, Dhabaleswar K. Panda:
Scalable MPI Collectives using SHARP: Large Scale Performance Evaluation on the TACC Frontera System. ExaMPI@SC 2020: 11-20 - [c94]Seyedeh Mahdieh Ghazimirsaeed, Quentin Anthony, Aamir Shafi, Hari Subramoni, Dhabaleswar K. D. K. Panda:
Accelerating GPU-based Machine Learning in Python using MPI Library: A Case Study with MVAPICH2-GDR. MLHPC/AI4S@SC 2020: 17-28 - [c93]Shulei Xu, Seyedeh Mahdieh Ghazimirsaeed, Jahanzeb Maqbool Hashmi, Hari Subramoni, Dhabaleswar K. Panda:
MPI Meets Cloud: Case Study with Amazon EC2 and Microsoft Azure. IPDRM@SC 2020: 41-48 - [c92]Arpan Jain, Ammar Ahmad Awan, Asmaa M. Aljuhani, Jahanzeb Maqbool Hashmi, Quentin G. Anthony, Hari Subramoni, Dhabaleswar K. Panda, Raghu Machiraju, Anil Parwani:
GEMS: GPU-enabled memory-aware model-parallelism system for distributed DNN training. SC 2020: 45 - [c91]Ammar Ahmad Awan, Arpan Jain, Quentin Anthony, Hari Subramoni, Dhabaleswar K. Panda:
HyPar-Flow: Exploiting MPI and Keras for Scalable Hybrid-Parallel DNN Training with TensorFlow. ISC 2020: 83-103 - [c90]Mohammadreza Bayatpour, Jahanzeb Maqbool Hashmi, Sourav Chakraborty, Kaushik Kandadi Suresh, Seyedeh Mahdieh Ghazimirsaeed, Bharath Ramesh, Hari Subramoni, Dhabaleswar K. Panda:
Communication-Aware Hardware-Assisted MPI Overlap Engine. ISC 2020: 517-535 - [c89]Pouya Kousha, Kamal Raj S. D., Hari Subramoni, Dhabaleswar K. Panda, Heechang Na, Trey Dockendorf, Karen Tomko:
Accelerated Real-time Network Monitoring and Profiling at Scale using OSU INAM. PEARC 2020: 215-223
2010 – 2019
- 2019
- [j9]Amit Ruhela, Hari Subramoni, Sourav Chakraborty, Mohammadreza Bayatpour, Pouya Kousha, Dhabaleswar K. Panda:
Efficient design for MPI asynchronous progress without dedicated resources. Parallel Comput. 85: 13-26 (2019) - [j8]Ammar Ahmad Awan, Karthik Vadambacheri Manian, Ching-Hsiang Chu, Hari Subramoni, Dhabaleswar K. Panda:
Optimized large-message broadcast for deep learning workloads: MPI, MPI+NCCL, or NCCL2? Parallel Comput. 85: 141-152 (2019) - [j7]Ching-Hsiang Chu, Xiaoyi Lu, Ammar Ahmad Awan, Hari Subramoni, Bracy Elton, Dhabaleswar K. Panda:
Exploiting Hardware Multicast and GPUDirect RDMA for Efficient Broadcast. IEEE Trans. Parallel Distributed Syst. 30(3): 575-588 (2019) - [c88]Karthik Vadambacheri Manian, A. A. Ammar, Amit Ruhela, Ching-Hsiang Chu, Hari Subramoni, Dhabaleswar K. Panda:
Characterizing CUDA Unified Memory (UM)-Aware MPI Designs on Modern GPU Architectures. GPGPU@ASPLOS 2019: 43-52 - [c87]Jahanzeb Maqbool Hashmi, Sourav Chakraborty, Mohammadreza Bayatpour, Hari Subramoni, Dhabaleswar K. Panda:
Design and Characterization of Shared Address Space MPI Collectives on Modern Architectures. CCGRID 2019: 410-419 - [c86]Ammar Ahmad Awan, Jeroen Bédorf, Ching-Hsiang Chu, Hari Subramoni, Dhabaleswar K. Panda:
Scalable Distributed DNN Training using TensorFlow and CUDA-Aware MPI: Characterization, Designs, and Performance Evaluation. CCGRID 2019: 498-507 - [c85]Arpan Jain, Ammar Ahmad Awan, Quentin Anthony, Hari Subramoni, Dhabaleswar K. Panda:
Performance Characterization of DNN Training using TensorFlow and PyTorch on Modern Clusters. CLUSTER 2019: 1-11 - [c84]Pouya Kousha, Bharath Ramesh, Kaushik Kandadi Suresh, Ching-Hsiang Chu, Arpan Jain, Nick Sarkauskas, Hari Subramoni, Dhabaleswar K. Panda:
Designing a Profiling and Visualization Tool for Scalable and In-depth Analysis of High-Performance GPU Clusters. HiPC 2019: 93-102 - [c83]Ching-Hsiang Chu, Jahanzeb Maqbool Hashmi, Kawthar Shafie Khorassani, Hari Subramoni, Dhabaleswar K. Panda:
High-Performance Adaptive MPI Derived Datatype Communication for Modern Multi-GPU Systems. HiPC 2019: 267-276 - [c82]Sourav Chakraborty, Shulei Xu, Hari Subramoni, Dhabaleswar K. Panda:
Designing Scalable and High-Performance MPI Libraries on Amazon Elastic Fabric Adapter. Hot Interconnects 2019: 40-44 - [c81]Ammar Ahmad Awan, Arpan Jain, Ching-Hsiang Chu, Hari Subramoni, Dhabaleswar K. Panda:
Communication Profiling and Characterization of Deep Learning Workloads on Clusters with High-Performance Interconnects. Hot Interconnects 2019: 49-53 - [c80]Jahanzeb Maqbool Hashmi, Sourav Chakraborty, Mohammadreza Bayatpour, Hari Subramoni, Dhabaleswar K. Panda:
FALCON: Efficient Designs for Zero-Copy MPI Datatype Processing on Emerging Architectures. IPDPS 2019: 355-364 - [c79]Dhabaleswar K. Panda, Ammar Ahmad Awan, Hari Subramoni:
High performance distributed deep learning: a beginner's guide. PPoPP 2019: 452-454 - [c78]Amit Ruhela, Bharath Ramesh, Sourav Chakraborty, Hari Subramoni, Jahanzeb Maqbool Hashmi, Dhabaleswar K. Panda:
Leveraging Network-level parallelism with Multiple Process-Endpoints for MPI Broadcast. IPDRM@SC 2019: 34-41 - [c77]Shulei Xu, Jahanzeb Maqbool Hashmi, Sourav Chakraborty, Hari Subramoni, Dhabaleswar K. Panda:
Design and Evaluation of Shared Memory CommunicationBenchmarks on Emerging Architectures using MVAPICH2. IPDRM@SC 2019: 42-49 - [c76]Arpan Jain, Ammar Ahmad Awan, Hari Subramoni, Dhabaleswar K. Panda:
Scaling TensorFlow, PyTorch, and MXNet using MVAPICH2 for High-Performance Deep Learning on Frontera. DLS@SC 2019: 76-83 - [c75]Karthik Vadambacheri Manian, Ching-Hsiang Chu, Ammar Ahmad Awan, Kawthar Shafie Khorassani, Hari Subramoni:
OMB-UM: Design, Implementation, and Evaluation of CUDA Unified Memory Aware MPI Benchmarks. PMBS@SC 2019: 82-92 - [c74]Kawthar Shafie Khorassani, Ching-Hsiang Chu, Hari Subramoni, Dhabaleswar K. Panda:
Performance Evaluation of MPI Libraries on GPU-Enabled OpenPOWER Architectures: Early Experiences. ISC Workshops 2019: 361-378 - [i4]Ammar Ahmad Awan, Arpan Jain, Quentin Anthony, Hari Subramoni, Dhabaleswar K. Panda:
HyPar-Flow: Exploiting MPI and Keras for Scalable Hybrid-Parallel DNN Training using TensorFlow. CoRR abs/1911.05146 (2019) - 2018
- [j6]Dhabaleswar K. Panda, Xiaoyi Lu, Hari Subramoni:
Networking and communication challenges for post-exascale systems. Frontiers Inf. Technol. Electron. Eng. 19(10): 1230-1235 (2018) - [j5]Srinivasan Ramesh, Aurèle Mahéo, Sameer Shende, Allen D. Malony, Hari Subramoni, Amit Ruhela, Dhabaleswar K. Panda:
MPI performance engineering with the MPI tool interface: The integration of MVAPICH and TAU. Parallel Comput. 77: 19-37 (2018) - [c73]Mohammadreza Bayatpour, Jahanzeb Maqbool Hashmi, Sourav Chakraborty, Hari Subramoni, Pouya Kousha, Dhabaleswar K. Panda:
SALaR: Scalable and Adaptive Designs for Large Message Reduction Collectives. CLUSTER 2018: 12-23 - [c72]Ammar Ahmad Awan, Ching-Hsiang Chu, Hari Subramoni, Xiaoyi Lu, Dhabaleswar K. Panda:
OC-DNN: Exploiting Advanced Unified Memory Capabilities in CUDA 9 and Volta GPUs for Out-of-Core DNN Training. HiPC 2018: 143-152 - [c71]Jahanzeb Maqbool Hashmi, Sourav Chakraborty, Mohammadreza Bayatpour, Hari Subramoni, Dhabaleswar K. Panda:
Designing Efficient Shared Address Space Reduction Collectives for Multi-/Many-cores. IPDPS 2018: 1020-1029 - [c70]Ammar Ahmad Awan, Ching-Hsiang Chu, Hari Subramoni, Dhabaleswar K. Panda:
Optimized Broadcast for Deep Learning Workloads on Dense-GPU InfiniBand Clusters: MPI or NCCL? EuroMPI 2018: 2:1-2:9 - [c69]Mingzhe Li, Xiaoyi Lu, Hari Subramoni, Dhabaleswar K. Panda:
Multi-Threading and Lock-Free MPI RMA Based Graph Processing on KNL and POWER Architectures. EuroMPI 2018: 4:1-4:10 - [c68]Amit Ruhela, Hari Subramoni, Sourav Chakraborty, Mohammadreza Bayatpour, Pouya Kousha, Dhabaleswar K. Panda:
Efficient Asynchronous Communication Progress for MPI without Dedicated Resources. EuroMPI 2018: 14:1-14:11 - [c67]Sourav Chakraborty, Mohammadreza Bayatpour, Jahanzeb Maqbool Hashmi, Hari Subramoni, Dhabaleswar K. Panda:
Cooperative rendezvous protocols for improved performance and overlap. SC 2018: 28:1-28:13 - [i3]Ammar Ahmad Awan, Jeroen Bédorf, Ching-Hsiang Chu, Hari Subramoni, Dhabaleswar K. Panda:
Scalable Distributed DNN Training using TensorFlow and CUDA-Aware MPI: Characterization, Designs, and Performance Evaluation. CoRR abs/1810.11112 (2018) - 2017
- [c66]Sourav Chakraborty, Hari Subramoni, Dhabaleswar K. Panda:
Contention-Aware Kernel-Assisted MPI Collectives for Multi-/Many-Core Systems. CLUSTER 2017: 13-24 - [c65]Hari Subramoni, Xiaoyi Lu, Dhabaleswar K. Panda:
A Scalable Network-Based Performance Analysis Tool for MPI on Large-Scale HPC Systems. CLUSTER 2017: 354-358 - [c64]Mingzhe Li, Xiaoyi Lu, Hari Subramoni, Dhabaleswar K. Panda:
Designing Registration Caching Free High-Performance MPI Library with Implicit On-Demand Paging (ODP) of InfiniBand. HiPC 2017: 62-71 - [c63]Jahanzeb Maqbool Hashmi, Khaled Hamidouche, Hari Subramoni, Dhabaleswar K. Panda:
Kernel-Assisted Communication Engine for MPI on Emerging Manycore Processors. HiPC 2017: 84-93 - [c62]Ching-Hsiang Chu, Xiaoyi Lu, Ammar Ahmad Awan, Hari Subramoni, Jahanzeb Maqbool Hashmi, Bracy Elton, Dhabaleswar K. Panda:
Efficient and Scalable Multi-Source Streaming Broadcast on GPU Clusters for Deep Learning. ICPP 2017: 161-170 - [c61]Jahanzeb Maqbool Hashmi, Mingzhe Li, Hari Subramoni, Dhabaleswar K. Panda:
Exploiting and Evaluating OpenSHMEM on KNL Architecture. OpenSHMEM 2017: 143-158 - [c60]Srinivasan Ramesh, Aurèle Mahéo, Sameer Shende, Allen D. Malony, Hari Subramoni, Dhabaleswar K. Panda:
MPI performance engineering with the MPI tool interface: the integration of MVAPICH and TAU. EuroMPI/USA 2017: 16:1-16:11 - [c59]Ammar Ahmad Awan, Hari Subramoni, Dhabaleswar K. Panda:
An In-depth Performance Characterization of CPU- and GPU-based DNN Training on Modern Architectures. MLHPC@SC 2017: 8:1-8:8 - [c58]Mohammadreza Bayatpour, Sourav Chakraborty, Hari Subramoni, Xiaoyi Lu, Dhabaleswar K. Panda:
Scalable reduction collectives with data partitioning-based multi-leader design. SC 2017: 64 - [c57]Hari Subramoni, Sourav Chakraborty, Dhabaleswar K. Panda:
Designing Dynamic and Adaptive MPI Point-to-Point Communication Protocols for Efficient Overlap of Computation and Communication. ISC 2017: 334-354 - [i2]Ammar Ahmad Awan, Ching-Hsiang Chu, Hari Subramoni, Dhabaleswar K. Panda:
Optimized Broadcast for Deep Learning Workloads on Dense-GPU InfiniBand Clusters: MPI or NCCL? CoRR abs/1707.09414 (2017) - 2016
- [j4]Khaled Hamidouche, Akshay Venkatesh, Ammar Ahmad Awan, Hari Subramoni, Ching-Hsiang Chu, Dhabaleswar K. Panda:
CUDA-Aware OpenSHMEM: Extensions and Designs for High Performance OpenSHMEM on GPU Clusters. Parallel Comput. 58: 27-36 (2016) - [c56]Sourav Chakraborty, Hari Subramoni, Jonathan L. Perkins, Dhabaleswar K. Panda:
SHMEMPMI - Shared Memory Based PMI for Improved Performance and Scalability. CCGrid 2016: 60-69 - [c55]Xiaoyi Lu, Dipti Shankar, Shashank Gugnani, Hari Subramoni, Dhabaleswar K. Panda:
Impact of HPC Cloud Networking Technologies on Accelerating Hadoop RPC and HBase. CloudCom 2016: 310-317 - [c54]Mohammadreza Bayatpour, Hari Subramoni, Sourav Chakraborty, Dhabaleswar K. Panda:
Adaptive and Dynamic Design for MPI Tag Matching. CLUSTER 2016: 1-10 - [c53]Jiajun Cao, Kapil Arya, Rohan Garg, L. Shawn Matott, Dhabaleswar K. Panda, Hari Subramoni, Jérôme Vienne, Gene Cooperman:
System-Level Scalable Checkpoint-Restart for Petascale Computing. ICPADS 2016: 932-941 - [c52]Ching-Hsiang Chu, Khaled Hamidouche, Akshay Venkatesh, Dip Sankar Banerjee, Hari Subramoni, Dhabaleswar K. Panda:
Exploiting Maximal Overlap for Non-Contiguous Data Movement Processing on Modern GPU-Enabled Systems. IPDPS 2016: 983-992 - [c51]Ching-Hsiang Chu, Khaled Hamidouche, Hari Subramoni, Akshay Venkatesh, Bracy Elton, Dhabaleswar K. Panda:
Designing High Performance Heterogeneous Broadcast for Streaming Applications on GPU Clusters. SBAC-PAD 2016: 59-66 - [c50]Ching-Hsiang Chu, Khaled Hamidouche, Hari Subramoni, Akshay Venkatesh, Bracy Elton, Dhabaleswar K. Panda:
Efficient Reliability Support for Hardware Multicast-Based Broadcast in GPU-enabled Streaming Applications. COMHPC@SC 2016: 29-38 - [c49]Mingzhe Li, Khaled Hamidouche, Xiaoyi Lu, Hari Subramoni, Jie Zhang, Dhabaleswar K. Panda:
Designing MPI library with on-demand paging (ODP) of infiniband: challenges and benefits. SC 2016: 433-443 - [c48]Hari Subramoni, Albert Mathews Augustine, Mark Daniel Arnold, Jonathan L. Perkins, Xiaoyi Lu, Khaled Hamidouche, Dhabaleswar K. Panda:
INAM2: InfiniBand Network Analysis and Monitoring with MPI. ISC 2016: 300-320 - [i1]Jiajun Cao, Kapil Arya, Rohan Garg, L. Shawn Matott, Dhabaleswar K. Panda, Hari Subramoni, Jérôme Vienne, Gene Cooperman:
System-level Scalable Checkpoint-Restart for Petascale Computing. CoRR abs/1607.07995 (2016) - 2015
- [c47]Sourav Chakraborty, Hari Subramoni, Adam Moody, Akshay Venkatesh, Jonathan L. Perkins, Dhabaleswar K. Panda:
Non-Blocking PMI Extensions for Fast MPI Startup. CCGRID 2015: 131-140 - [c46]Khaled Hamidouche, Akshay Venkatesh, Ammar Ahmad Awan, Hari Subramoni, Ching-Hsiang Chu, Dhabaleswar K. Panda:
Exploiting GPUDirect RDMA in Designing High Performance OpenSHMEM for NVIDIA GPU Clusters. CLUSTER 2015: 78-87 - [c45]Mingzhe Li, Hari Subramoni, Khaled Hamidouche, Xiaoyi Lu, Dhabaleswar K. Panda:
High Performance MPI Datatype Support with User-Mode Memory Registration: Challenges, Designs, and Benefits. CLUSTER 2015: 226-235 - [c44]Akshay Venkatesh, Khaled Hamidouche, Hari Subramoni, Dhabaleswar K. Panda:
Offloaded GPU Collectives Using CORE-Direct and CUDA Capabilities on InfiniBand Clusters. HiPC 2015: 234-243 - [c43]Hari Subramoni, Akshay Venkatesh, Khaled Hamidouche, Karen Tomko, Dhabaleswar K. Panda:
Impact of InfiniBand DC Transport Protocol on Energy Consumption of All-to-All Collective Algorithms. Hot Interconnects 2015: 60-67 - [c42]Sourav Chakraborty, Hari Subramoni, Jonathan L. Perkins, Ammar Ahmad Awan, Dhabaleswar K. Panda:
On-demand Connection Management for OpenSHMEM and OpenSHMEM+MPI. IPDPS Workshops 2015: 235-244 - [c41]A. A. Awan, Khaled Hamidouche, Akshay Venkatesh, Jonathan L. Perkins, Hari Subramoni, Dhabaleswar K. Panda:
GPU-Aware Design, Implementation, and Evaluation of Non-blocking Collective Benchmarks. EuroMPI 2015: 9:1-9:10 - [c40]Hari Subramoni, Ammar Ahmad Awan, Khaled Hamidouche, Dmitry Pekurovsky, Akshay Venkatesh, Sourav Chakraborty, Karen Tomko, Dhabaleswar K. Panda:
Designing Non-blocking Personalized Collectives with Near Perfect Overlap for RDMA-Enabled Clusters. ISC 2015: 434-453 - [e1]Dhabaleswar K. Panda, Karl W. Schulz, Khaled Hamidouche, Hari Subramoni:
Proceedings of the First International Workshop on Extreme Scale Programming Models and Middleware, ESPM 2015, Austin, Texas, USA, November 15, 2015. ACM 2015, ISBN 978-1-4503-3996-4 [contents] - 2014
- [c39]Akshay Venkatesh, Hari Subramoni, Khaled Hamidouche, Dhabaleswar K. Panda:
A high performance broadcast design with hardware multicast and GPUDirect RDMA for streaming applications on Infiniband clusters. HiPC 2014: 1-10 - [c38]Prasad Calyam, Alex Berryman, Erik Saule, Hari Subramoni, Paul Schopis, Gordon Springer, Ümit V. Çatalyürek, Dhabaleswar K. Panda:
Wide-area overlay networking to manage science DMZ accelerated flows. ICNC 2014: 269-275 - [c37]Hari Subramoni, Krishna Chaitanya Kandalla, Jithin Jose, Karen Tomko, Karl W. Schulz, Dmitry Pekurovsky, Dhabaleswar K. Panda:
Designing Topology-Aware Communication Schedules for Alltoall Operations in Large InfiniBand Clusters. ICPP 2014: 231-240 - [c36]Jithin Jose, Sreeram Potluri, Hari Subramoni, Xiaoyi Lu, Khaled Hamidouche, Karl W. Schulz, Hari Sundar, Dhabaleswar K. Panda:
Designing Scalable Out-of-core Sorting with Hybrid MPI+PGAS Programming Models. PGAS 2014: 7:1-7:9 - [c35]Sourav Chakraborty, Hari Subramoni, Jonathan L. Perkins, Adam Moody, Mark Daniel Arnold, Dhabaleswar K. Panda:
PMI Extensions for Scalable MPI Startup. EuroMPI/ASIA 2014: 21 - [c34]Hari Subramoni, Khaled Hamidouche, Akshay Venkatesh, Sourav Chakraborty, Dhabaleswar K. Panda:
Designing MPI Library with Dynamic Connected Transport (DCT) of InfiniBand: Early Experiences. ISC 2014: 278-295 - 2013
- [c33]Hari Subramoni, Devendar Bureddy, Krishna Chaitanya Kandalla, Karl W. Schulz, Bill Barth, Jonathan L. Perkins, Mark Daniel Arnold, Dhabaleswar K. Panda:
Design of network topology aware scheduling services for large InfiniBand clusters. CLUSTER 2013: 1-8 - [c32]Krishna Chaitanya Kandalla, Hari Subramoni, Karen Tomko, Dmitry Pekurovsky, Dhabaleswar K. Panda:
A Novel Functional Partitioning Approach to Design High-Performance MPI-3 Non-blocking Alltoallv Collective on Multi-core Systems. ICPP 2013: 611-620 - [c31]Xiaoyi Lu, Nusrat S. Islam, Md. Wasi-ur-Rahman, Jithin Jose, Hari Subramoni, Hao Wang, Dhabaleswar K. Panda:
High-Performance Design of Hadoop RPC with RDMA over InfiniBand. ICPP 2013: 641-650 - [c30]Khaled Hamidouche, Sreeram Potluri, Hari Subramoni, Krishna Chaitanya Kandalla, Dhabaleswar K. Panda:
MIC-RO: enabling efficient remote offload on heterogeneous many integrated core (MIC) clusters with InfiniBand. ICS 2013: 399-408 - [c29]Sreeram Potluri, Devendar Bureddy, Hao Wang, Hari Subramoni, Dhabaleswar K. Panda:
Extending OpenSHMEM for GPU Computing. IPDPS 2013: 1001-1012 - [c28]Md. Wasi-ur-Rahman, Nusrat Sharmin Islam, Xiaoyi Lu, Jithin Jose, Hari Subramoni, Hao Wang, Dhabaleswar K. Panda:
High-Performance RDMA-based Design of Hadoop MapReduce over InfiniBand. IPDPS Workshops 2013: 1908-1917 - [c27]Sreeram Potluri, Devendar Bureddy, Khaled Hamidouche, Akshay Venkatesh, Krishna Chaitanya Kandalla, Hari Subramoni, Dhabaleswar K. Panda:
MVAPICH-PRISM: a proxy-based communication framework using InfiniBand and SCIF for intel MIC clusters. SC 2013: 54:1-54:11 - 2012
- [c26]Jithin Jose, Hari Subramoni, Krishna Chaitanya Kandalla, Md. Wasi-ur-Rahman, Hao Wang, Sundeep Narravula, Dhabaleswar K. Panda:
Scalable Memcached Design for InfiniBand Clusters Using Hybrid Transports. CCGRID 2012: 236-243 - [c25]Krishna Chaitanya Kandalla, Aydin Buluç, Hari Subramoni, Karen Tomko, Jérôme Vienne, Leonid Oliker, Dhabaleswar K. Panda:
Can Network-Offload Based Non-blocking Neighborhood MPI Collectives Improve Communication Overheads of Irregular Graph Algorithms? CLUSTER Workshops 2012: 222-230 - [c24]Raghunath Rajachandrasekar, Jai Jaswani, Hari Subramoni, Dhabaleswar K. Panda:
Minimizing Network Contention in InfiniBand Clusters with a QoS-Aware Data-Staging Framework. CLUSTER 2012: 329-336 - [c23]Hari Subramoni, Jérôme Vienne, Dhabaleswar K. Panda:
A Scalable InfiniBand Network Topology-Aware Performance Analysis Tool for MPI. Euro-Par Workshops 2012: 439-450 - [c22]Jérôme Vienne, Jitong Chen, Md. Wasi-ur-Rahman, Nusrat S. Islam, Hari Subramoni, Dhabaleswar K. Panda:
Performance Analysis and Evaluation of InfiniBand FDR and 40GigE RoCE on HPC and Cloud Computing Systems. Hot Interconnects 2012: 48-55 - [c21]Jian Huang, Xiangyong Ouyang, Jithin Jose, Md. Wasi-ur-Rahman, Hao Wang, Miao Luo, Hari Subramoni, Chet Murthy, Dhabaleswar K. Panda:
High-Performance Design of HBase with RDMA over InfiniBand. IPDPS 2012: 774-785 - [c20]Krishna Chaitanya Kandalla, Ulrike Meier Yang, Jeff Keasler, Tzanio V. Kolev, Adam Moody, Hari Subramoni, Karen Tomko, Jérôme Vienne, Bronis R. de Supinski, Dhabaleswar K. Panda:
Designing Non-blocking Allreduce with Collective Offload on InfiniBand Clusters: A Case Study with Conjugate Gradient Solvers. IPDPS 2012: 1156-1167 - [c19]S. Pai Raikar, Hari Subramoni, Krishna Chaitanya Kandalla, Jérôme Vienne, Dhabaleswar K. Panda:
Designing Network Failover and Recovery in MPI for Multi-Rail InfiniBand Clusters. IPDPS Workshops 2012: 1160-1167 - [c18]Md. Wasi-ur-Rahman, Jian Huang, Jithin Jose, Xiangyong Ouyang, Hao Wang, Nusrat S. Islam, Hari Subramoni, Chet Murthy, Dhabaleswar K. Panda:
Understanding the communication characteristics in HBase: What are the fundamental bottlenecks? ISPASS 2012: 122-123 - [c17]Nusrat S. Islam, Md. Wasi-ur-Rahman, Jithin Jose, Raghunath Rajachandrasekar, Hao Wang, Hari Subramoni, Chet Murthy, Dhabaleswar K. Panda:
High performance RDMA-based design of HDFS over InfiniBand. SC 2012: 35 - [c16]Hari Subramoni, Sreeram Potluri, Krishna Chaitanya Kandalla, Bill Barth, Jérôme Vienne, Jeff Keasler, Karen A. Tomko, Karl W. Schulz, Adam Moody, Dhabaleswar K. Panda:
Design of a scalable InfiniBand topology service to enable network-topology-aware placement of processes. SC 2012: 70 - 2011
- [j3]Sayantan Sur, Sreeram Potluri, Krishna Chaitanya Kandalla, Hari Subramoni, Dhabaleswar K. Panda, Karen Tomko:
Codesign for InfiniBand Clusters. Computer 44(11): 31-36 (2011) - [j2]Krishna Chaitanya Kandalla, Hari Subramoni, Karen A. Tomko, Dmitry Pekurovsky, Sayantan Sur, Dhabaleswar K. Panda:
High-performance and scalable non-blocking all-to-all with collective offload on InfiniBand clusters: a study with parallel 3D FFT. Comput. Sci. Res. Dev. 26(3-4): 237-246 (2011) - [c15]Hari Subramoni, Krishna Chaitanya Kandalla, Jérôme Vienne, Sayantan Sur, Bill Barth, Karen A. Tomko, Robert T. McLay, Karl W. Schulz, Dhabaleswar K. Panda:
Design and Evaluation of Network Topology-/Speed- Aware Broadcast Algorithms for InfiniBand Clusters. CLUSTER 2011: 317-325 - [c14]N. Dandapanthula, Hari Subramoni, Jérôme Vienne, Krishna Chaitanya Kandalla, Sayantan Sur, Dhabaleswar K. Panda, Ron Brightwell:
INAM - A Scalable InfiniBand Network Analysis and Monitoring Tool. Euro-Par Workshops (2) 2011: 166-177 - [c13]Krishna Chaitanya Kandalla, Hari Subramoni, Jérôme Vienne, S. Pai Raikar, Karen Tomko, Sayantan Sur, Dhabaleswar K. Panda:
Designing Non-blocking Broadcast with Collective Offload on InfiniBand Clusters: A Case Study with HPL. Hot Interconnects 2011: 27-34 - [c12]Jithin Jose, Hari Subramoni, Miao Luo, Minjia Zhang, Jian Huang, Md. Wasi-ur-Rahman, Nusrat S. Islam, Xiangyong Ouyang, Hao Wang, Sayantan Sur, Dhabaleswar K. Panda:
Memcached Design on High Performance RDMA Capable Interconnects. ICPP 2011: 743-752 - [r1]Dhabaleswar K. Panda, Sayantan Sur, Hari Subramoni, Krishna Chaitanya Kandalla:
Collective Communication, Network Support For. Encyclopedia of Parallel Computing 2011: 327-334 - 2010
- [j1]Hari Subramoni, Fabrizio Petrini, Virat Agarwal, Davide Pasetto:
Intra-Socket and Inter-Socket Communication in Multi-core Systems. IEEE Comput. Archit. Lett. 9(1): 13-16 (2010) - [c11]Hari Subramoni, Ping Lai, Rajkumar Kettimuthu, Dhabaleswar K. Panda:
High Performance Data Transfer in Grid Environment Using GridFTP over InfiniBand. CCGRID 2010: 557-564 - [c10]Hari Subramoni, Krishna Chaitanya Kandalla, Sayantan Sur, Dhabaleswar K. Panda:
Design and Evaluation of Generalized Collective Communication Primitives with Overlap Using ConnectX-2 Offload Engine. Hot Interconnects 2010: 40-49 - [c9]Hari Subramoni, Ping Lai, Sayantan Sur, Dhabaleswar K. Panda:
Improving Application Performance and Predictability Using Multiple Virtual Lanes in Modern Multi-core InfiniBand Clusters. ICPP 2010: 462-471 - [c8]Miao Luo, Sreeram Potluri, Ping Lai, Emilio Pasquale Mancini, Hari Subramoni, Krishna Chaitanya Kandalla, Sayantan Sur, Dhabaleswar K. Panda:
High Performance Design and Implementation of Nemesis Communication Layer for Two-Sided and One-Sided MPI Semantics in MVAPICH2. ICPP Workshops 2010: 377-386 - [c7]Krishna Chaitanya Kandalla, Hari Subramoni, Abhinav Vishnu, Dhabaleswar K. Panda:
Designing topology-aware collective communication algorithms for large scale InfiniBand clusters: Case studies with Scatter and Gather. IPDPS Workshops 2010: 1-8 - [c6]Hari Subramoni, Fabrizio Petrini, Virat Agarwal, Davide Pasetto:
Streaming, low-latency communication in on-line trading systems. IPDPS Workshops 2010: 1-8 - [p1]Hari Subramoni, Fabrizio Petrini, Virat Agarwal, Davide Pasetto:
High Performance Topology-Aware Communication in Multicore Processors. Scientific Computing with Multicore and Accelerators 2010: 443-460
2000 – 2009
- 2009
- [c5]Hari Subramoni, Ping Lai, Miao Luo, Dhabaleswar K. Panda:
RDMA over Ethernet - A preliminary study. CLUSTER 2009: 1-9 - [c4]Hari Subramoni, Matthew J. Koop, Dhabaleswar K. Panda:
Designing Next Generation Clusters: Evaluation of InfiniBand DDR/QDR on Intel Computing Platforms. Hot Interconnects 2009: 112-120 - [c3]Ping Lai, Hari Subramoni, Sundeep Narravula, Amith R. Mamidala, Dhabaleswar K. Panda:
Designing Efficient FTP Mechanisms for High Performance Data-Transfer over InfiniBand. ICPP 2009: 156-163 - [c2]Krishna Chaitanya Kandalla, Hari Subramoni, Gopalakrishnan Santhanaraman, Matthew J. Koop, Dhabaleswar K. Panda:
Designing multi-leader-based Allgather algorithms for multi-core clusters. IPDPS 2009: 1-8 - 2008
- [c1]Sundeep Narravula, Hari Subramoni, Ping Lai, Ranjit Noronha, Dhabaleswar K. Panda:
Performance of HPC Middleware over InfiniBand WAN. ICPP 2008: 304-311
Coauthor Index
Quentin Anthony
aka: Quentin G. Anthony
aka: Quentin G. Anthony
Ammar Ahmad Awan
aka: A. A. Awan
aka: A. A. Awan
Mustafa Abdul Jabbar
aka: Mustafa Abduljabbar
aka: Mustafa Abduljabbar
[j17] [c169] [c168] [c167] [c166] [c165] [c164] [c163] [c162] [c161] [c160] [c159] [c158] [c157] [c156] [c155] [i15] [i14] [i13] [i12] [i11] [j16] [j15] [c154] [c153] [c152] [c151] [c150] [c149] [c148] [c147] [c146] [c145] [c144] [c143] [c142] [c141] [c140] [c139] [c138] [c137] [c136] [c135] [c134] [c133] [i10] [i9] [i8] [j14] [c132] [c131] [c130] [c129] [c128] [c127] [c126] [c125] [c124] [c123] [c122] [c121] [c120] [c119] [c118] [c117] [j13] [c116] [c115] [c114] [c113] [c112] [c111] [c110] [c109] [c108] [c107] [c106] [c105] [c104] [i7] [i6] [i5] [j12] [j11] [j10] [c103] [c102] [c101] [c100] [c99] [c98] [c97] [c96] [c95] [c94] [c93] [c92] [c91] [c90] [c89] [j9] [j8] [j7] [c88] [c87] [c86] [c85] [c84] [c83] [c82] [c81] [c80] [c79] [c78] [c77] [c76] [c74] [i4] [j6] [j5] [c73] [c72] [c71] [c70] [c69] [c68] [c67] [i3] [c66] [c65] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [i2] [j4] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [i1] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [e1] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [j3] [j2] [c15] [c14] [c13] [c12] [r1] [c11] [c10] [c9] [c8] [c7] [c5] [c4] [c3] [c2] [c1]
[j17] [c169] [c168] [c166] [c165] [c162] [c161] [c160] [c159] [c157] [i15] [i14] [i13] [i12] [i11] [j16] [j15] [c153] [c152] [c151] [c150] [c149] [c147] [c146] [c144] [c142] [c141] [c140] [c138] [i10] [i9] [i8] [j14] [c132] [c131] [c130] [c129] [c128] [c127] [c126] [c125] [c124] [c123] [c122] [c121] [c120] [c119] [c118] [c117] [c115] [c114] [c112] [c110] [c104] [i7] [i5] [c101] [c94]
Karen A. Tomko
aka: Karen Tomko
aka: Karen Tomko
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