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2020 – today
- 2025
[i14]Lang Xu, Quentin Anthony, Jacob Hatef, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda:
Scaling Large Language Model Training on Frontier with Low-Bandwidth Partitioning. CoRR abs/2501.04266 (2025)- 2024
- [j13]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) - [c63]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 - [c62]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 - [c61]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 - [c60]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 - [c59]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 - [c58]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 - [c57]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 - [c56]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 - [c55]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 - [i13]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) - [i12]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) - [i11]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) - [i10]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) - [i9]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
- [j12]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) - [j11]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) - [c54]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 - [c53]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 - [c52]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 - [c51]Quentin Anthony, Lang Xu, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda:
ScaMP: Scalable Meta-Parallelism for Deep Learning Search. CCGridW 2023: 346-348 - [c50]Quentin Anthony, Lang Xu, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda:
ScaMP: Scalable Meta-Parallelism for Deep Learning Search. CCGrid 2023: 391-402 - [c49]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 - [c48]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 - [c47]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 - [c46]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 - [c45]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 - [c44]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 - [c43]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 - [i8]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) - [i7]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) - [i6]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
- [j10]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) - [c42]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 - [c41]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 - [c40]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 - [c39]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 - [c38]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 - [c37]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 - [c36]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 - [c35]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 - [c34]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 - [c33]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 - [c32]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 - [c31]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 - [c30]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 - [c29]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 - [c28]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 - [c27]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
- [c26]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 - [c25]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 - [c24]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 - [c23]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 - [c22]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 - [i5]Aamir Shafi, Jahanzeb Maqbool Hashmi, Hari Subramoni, Dhabaleswar K. Panda:
Efficient MPI-based Communication for GPU-Accelerated Dask Applications. CoRR abs/2101.08878 (2021) - [i4]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
- [c21]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 - [c20]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
2010 – 2019
- 2019
- [j9]Aamir Shafi, Saqib Saeed, Yasser A. Bamarouf, Sardar Zafar Iqbal, Nasro Min-Allah, Mohammed Abdulrahman Alqahtani:
Student Outcomes Assessment Methodology for ABET Accreditation: A Case Study of Computer Science and Computer Information Systems Programs. IEEE Access 7: 13653-13667 (2019) - 2018
- [j8]Muhammad Tariq Saeed, Jamil Ahmad, Jan Baumbach, Josch Pauling, Aamir Shafi, Rehan Zafar Paracha, Asad Hayat, Amjad Ali:
Parameter estimation of qualitative biological regulatory networks on high performance computing hardware. BMC Syst. Biol. 12(1): 146:1-146:15 (2018) - [c19]Christina Diedhiou, Bryan Carpenter, Aamir Shafi, Soumabha Sarkar, Ramazan Esmeli, Ryan Gadsdon:
Performance Comparison of a Parallel Recommender Algorithm Across Three Hadoop-Based Frameworks. SBAC-PAD 2018: 380-387 - 2016
- [j7]Ansar Javed, Bibrak Qamar, Mohsan Jameel, Aamir Shafi, Bryan Carpenter:
Towards Scalable Java HPC with Hybrid and Native Communication Devices in MPJ Express. Int. J. Parallel Program. 44(6): 1142-1172 (2016) - [j6]Saleh Alrashed, Jamal Alhiyafi, Aamir Shafi, Nasro Min-Allah:
An efficient schedulability condition for non-preemptive real-time systems at common scheduling points. J. Supercomput. 72(12): 4651-4661 (2016) - 2015
- [c18]Hamza Zafar, Farrukh Aftab Khan, Bryan Carpenter, Aamir Shafi, Asad Waqar Malik:
MPJ Express Meets YARN: Towards Java HPC on Hadoop Systems. ICCS 2015: 2678-2682 - [c17]Qasim Maqbool, Muhammad Sohaib Ayub, Junaid Zulfiqar, Aamir Shafi:
Virtual TCAM for Data Center switches. NFV-SDN 2015: 61-66 - 2014
- [c16]Bibrak Qamar, Ansar Javed, Mohsan Jameel, Aamir Shafi, Bryan Carpenter:
Design and Implementation of Hybrid and Native Communication Devices for Java HPC. ICCS 2014: 184-197 - [c15]Omar Khan, Mohsan Jameel, Aamir Shafi:
High Performance Message-passing InfiniBand Communication Device for Java HPC. ICCS 2014: 1468-1479 - [c14]Aamir Shafi, Aleem Akhtar, Ansar Javed, Bryan Carpenter:
Teaching parallel programming using Java. EduHPC@SC 2014: 56-63 - [i3]Aleem Akhtar, Aamir Shafi, Mohsan Jameel:
Design and Implementation of Parallel Debugger and Profiler for MPJ Express. CoRR abs/1408.6347 (2014) - [i2]Aamir Shafi, Aleem Akhtar, Ansar Javed, Bryan Carpenter:
Teaching Parallel Programming Using Java. CoRR abs/1410.0373 (2014) - 2013
- [c13]Ammar Ahmad Awan, Muhammad Bilal Amin, Shujaat Hussain, Aamir Shafi, Sungyoung Lee:
An MPI-IO Compliant Java Based Parallel I/O Library. CCGRID 2013: 174-175 - [c12]Syed Abdullah Shah, Jannet Faiz, Maham Farooq, Aamir Shafi, Syed Akbar Mehdi:
An architectural evaluation of SDN controllers. ICC 2013: 3504-3508 - 2012
- [c11]Muhammad Bilal Amin, Aamir Shafi, Shujaat Hussain, Wajahat Ali Khan, Sungyoung Lee:
High performance Java sockets (HPJS) for scientific health clouds. Healthcom 2012: 477-480 - [c10]Ammar Ahmad Awan, Muhammad Sohaib Ayub, Aamir Shafi, Sungyoung Lee:
Towards Efficient Support for Parallel I/O in Java HPC. PDCAT 2012: 137-143 - [c9]I-Ting Angelina Lee, Aamir Shafi, Charles E. Leiserson:
Memory-mapping support for reducer hyperobjects. SPAA 2012: 287-297 - 2011
- [j5]Guillermo L. Taboada, Juan Touriño, Ramon Doallo, Aamir Shafi, Mark Baker, Bryan Carpenter:
Device level communication libraries for high-performance computing in Java. Concurr. Comput. Pract. Exp. 23(18): 2382-2403 (2011) - [c8]Wakeel Ahmad, Bryan Carpenter, Aamir Shafi:
Collective Asynchronous Remote Invocation (CARI): A High-Level and Effcient Communication API for Irregular Applications. ICCS 2011: 26-35 - 2010
- [c7]Aamir Shafi, Jawad Manzoor, Kamran Hameed, Bryan Carpenter, Mark Baker:
Multicore-enabling the MPJ express messaging library. PPPJ 2010: 49-58
2000 – 2009
- 2009
- [j4]Aamir Shafi, Bryan Carpenter, Mark Baker, Aftab Hussain:
A comparative study of Java and C performance in two large-scale parallel applications. Concurr. Comput. Pract. Exp. 21(15): 1882-1906 (2009) - [j3]Aamir Shafi, Bryan Carpenter, Mark Baker:
Nested parallelism for multi-core HPC systems using Java. J. Parallel Distributed Comput. 69(6): 532-545 (2009) - [c6]Aamir Shafi, Jawad Manzoor:
Towards efficient shared memory communications in MPJ express. IPDPS 2009: 1-7 - 2008
- [c5]Aamir Shafi, Aftab Hussain, Jamil Raza:
A parallel implementation of the Finite-Domain Time-Difference algorithm using MPJ express. IPDPS 2008: 1-6 - 2007
- [j2]Mark Baker, Bryan Carpenter, Aamir Shafi:
A Buffering Layer to Support Derived Types and Proprietary Networks for Java HPC. Scalable Comput. Pract. Exp. 8(4) (2007) - 2006
- [b1]Aamir Shafi:
Nested parallelism for multi-core systems using Java. University of Portsmouth, UK, 2006 - [c4]Mark Baker, Bryan Carpenter, Aamir Shafi:
MPJ Express: Towards Thread Safe Java HPC. CLUSTER 2006 - [c3]Mark Baker, Bryan Carpenter, Aamir Shafi:
An Approach to Buffer Management in Java HPC Messaging. International Conference on Computational Science (2) 2006: 953-960 - [c2]Mark A. Baker, Matthew Grove, Aamir Shafi:
Parallel and Distributed Computing with Java. ISPDC 2006: 3-10 - [c1]Mark Baker, Bryan Carpenter, Aamir Shafi:
MPJ Express Meets Gadget: Towards a Java Code for Cosmological Simulations. PVM/MPI 2006: 358-365 - 2005
- [j1]Mark Baker, Aamir Shafi, Bryan Carpenter, Sylvia C. Wong, Victor Tan, Weijian Fang, Simon Miles, Luc Moreau:
Cluster Computing and Grid 2005 Works in Progress. IEEE Distributed Syst. Online 6(10) (2005) - 2003
- [i1]Aamir Shafi, Umer Farooq, Saad Liaquat Kiani, Maria Riaz, Anjum Shehzad, Arshad Ali, Iosif Legrand, Harvey B. Newman:
DIAMOnDS - DIstributed Agents for MObile & Dynamic Services. CoRR cs.DC/0305062 (2003)
Coauthor Index
Quentin Anthony
aka: Quentin G. Anthony
aka: Quentin G. Anthony
Mustafa Abdul Jabbar
aka: Mustafa Abduljabbar
aka: Mustafa Abduljabbar
Dhabaleswar K. Panda 0001
aka: Dhabaleswar K. D. K. Panda
aka: Dhabaleswar K. D. K. Panda
[i14] [j13] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [i13] [i12] [i11] [i10] [i9] [j12] [j11] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [i8] [i7] [i6] [j10] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [i5] [i4] [c21] [c20]
[i14] [j13] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [i13] [i12] [i11] [i10] [i9] [j12] [j11] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [i8] [i7] [i6] [j10] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [i5] [i4] [c21] [c20]
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last updated on 2025-02-20 01:43 CET by the dblp team
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