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Pavan Balaji
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- affiliation: Argonne National Laboratory
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2020 – today
- 2024
- [c161]Sitian Chen, Haobin Tan, Amelie Chi Zhou, Yusen Li, Pavan Balaji:
UpDLRM: Accelerating Personalized Recommendation using Real-World PIM Architecture. DAC 2024: 211:1-211:6 - [i4]Sitian Chen, Haobin Tan, Amelie Chi Zhou, Yusen Li, Pavan Balaji:
UpDLRM: Accelerating Personalized Recommendation using Real-World PIM Architecture. CoRR abs/2406.13941 (2024) - [i3]Hao Feng, Boyuan Zhang, Fanjiang Ye, Min Si, Ching-Hsiang Chu, Jiannan Tian, Chunxing Yin, Summer Deng, Yuchen Hao, Pavan Balaji, Tong Geng, Dingwen Tao:
Accelerating Communication in Deep Learning Recommendation Model Training with Dual-Level Adaptive Lossy Compression. CoRR abs/2407.04272 (2024) - 2023
- [j63]Chen Wang, Yanfei Guo, Pavan Balaji, Marc Snir:
Near-Lossless MPI Tracing and Proxy Application Autogeneration. IEEE Trans. Parallel Distributed Syst. 34(1): 123-140 (2023) - [e13]Yogesh Simmhan, Ilkay Altintas, Ana Lucia Varbanescu, Pavan Balaji, Abhinandan S. Prasad, Lorenzo Carnevale:
23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2023, Bangalore, India, May 1-4, 2023. IEEE 2023, ISBN 979-8-3503-0119-9 [contents] - [e12]Yogesh Simmhan, Ilkay Altintas, Ana Lucia Varbanescu, Pavan Balaji, Abhinandan S. Prasad, Lorenzo Carnevale:
23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2023 - Workshops, Bangalore, India, May 1-4, 2023. IEEE 2023, ISBN 979-8-3503-0208-0 [contents] - 2021
- [j62]William Gropp, Rajeev Thakur, Pavan Balaji:
Translational research in the MPICH project. J. Comput. Sci. 52: 101203 (2021) - [j61]Pavan Balaji, Jidong Zhai, Min Si:
Guest Editorial. IEEE Trans. Parallel Distributed Syst. 32(7): 1511-1512 (2021) - [j60]Rohit Zambre, Damodar Sahasrabudhe, Hui Zhou, Martin Berzins, Aparna Chandramowlishwaran, Pavan Balaji:
Logically Parallel Communication for Fast MPI+Threads Applications. IEEE Trans. Parallel Distributed Syst. 32(12): 3038-3052 (2021) - [c160]Sayan Ghosh, Yanfei Guo, Pavan Balaji, Assefaw H. Gebremedhin:
RMACXX: An Efficient High-Level C++ Interface over MPI-3 RMA. CCGRID 2021: 143-155 - [c159]Kaiming Ouyang, Min Si, Atsushi Hori, Zizhong Chen, Pavan Balaji:
Daps: A Dynamic Asynchronous Progress Stealing Model for MPI Communication. CLUSTER 2021: 516-527 - [c158]Min Si, Huansong Fu, Jeff R. Hammond, Pavan Balaji:
OpenSHMEM over MPI as a Performance Contender: Thorough Analysis and Optimizations. OpenSHMEM 2021: 39-60 - [c157]Shumpei Shiina, Shintaro Iwasaki, Kenjiro Taura, Pavan Balaji:
Lightweight preemptive user-level threads. PPoPP 2021: 374-388 - [c156]Chen Wang, Pavan Balaji, Marc Snir:
Pilgrim: scalable and (near) lossless MPI tracing. SC 2021: 52 - 2020
- [j59]Adrián Castelló, Rafael Mayo Gual, Sangmin Seo, Pavan Balaji, Enrique S. Quintana-Ortí, Antonio J. Peña:
Analysis of Threading Libraries for High Performance Computing. IEEE Trans. Computers 69(9): 1279-1292 (2020) - [j58]Shintaro Iwasaki, Abdelhalim Amer, Kenjiro Taura, Pavan Balaji:
Analyzing the Performance Trade-Off in Implementing User-Level Threads. IEEE Trans. Parallel Distributed Syst. 31(8): 1859-1877 (2020) - [j57]Tao Gao, Yanfei Guo, Boyu Zhang, Pietro Cicotti, Yutong Lu, Pavan Balaji, Michela Taufer:
Memory-Efficient and Skew-Tolerant MapReduce Over MPI for Supercomputing Systems. IEEE Trans. Parallel Distributed Syst. 31(12): 2734-2748 (2020) - [c155]Xiaomin Zhu, Yaqian Zhao, Pavan Balaji:
Probing the Underlying Implementation Mechanisms of SW26010. HPCC/DSS/SmartCity 2020: 694-699 - [c154]Rohit Zambre, Aparna Chandramowlishwaran, Pavan Balaji:
How I learned to stop worrying about user-visible endpoints and love MPI. ICS 2020: 35:1-35:13 - [c153]Noah Evans, Jan Ciesko, Stephen L. Olivier, Howard Pritchard, Shintaro Iwasaki, Ken Raffenetti, Pavan Balaji:
Implementing Flexible Threading Support in Open MPI. ExaMPI@SC 2020: 21-30 - [c152]Kaiming Ouyang, Min Si, Atsushi Hori, Zizhong Chen, Pavan Balaji:
CAB-MPI: exploring interprocess work-stealing towards balanced MPI communication. SC 2020: 36 - [i2]Rohit Zambre, Aparna Chandramowlishwaran, Pavan Balaji:
Scalable Communication Endpoints for MPI+Threads Applications. CoRR abs/2002.02509 (2020) - [i1]Rohit Zambre, Aparna Chandramowlishwaran, Pavan Balaji:
How I Learned to Stop Worrying About User-Visible Endpoints and Love MPI. CoRR abs/2005.00263 (2020)
2010 – 2019
- 2019
- [j56]Abhinav Vishnu, Pavan Balaji, Yong Chen:
Guest Editor's Introduction: P2S2: SI 2016. Parallel Comput. 82: 1-2 (2019) - [j55]Pavan Balaji, Abhinav Vishnu, Yong Chen:
Foreword to the special issue for the Workshop on Parallel Programming Models and Systems Software for High-End Computing (P2S2 2017). Parallel Comput. 83: 1-2 (2019) - [j54]Pavan Balaji, Marc Casas:
Special issue on the message passing interface. Parallel Comput. 86: 14-15 (2019) - [j53]Min Si, Zhiyi Huang, Pavan Balaji:
International workshop on programming models and applications for multicores and manycores (PMAM 2018). Parallel Comput. 88 (2019) - [j52]Sarunya Pumma, Min Si, Wu-Chun Feng, Pavan Balaji:
Scalable Deep Learning via I/O Analysis and Optimization. ACM Trans. Parallel Comput. 6(2): 6:1-6:34 (2019) - [c151]Shintaro Iwasaki, Abdelhalim Amer, Kenjiro Taura, Sangmin Seo, Pavan Balaji:
BOLT: Optimizing OpenMP Parallel Regions with User-Level Threads. PACT 2019: 29-42 - [c150]Xiaomin Zhu, Yunhui Zeng, Yanjie Wei, Shengzhong Feng, Weiguo Liu, Pavan Balaji:
An Auto Code Generator for Stencil on SW26010. HPCC/SmartCity/DSS 2019: 182-190 - [c149]Seonmyeong Bak, Yanfei Guo, Pavan Balaji, Vivek Sarkar:
Optimized Execution of Parallel Loops via User-Defined Scheduling Policies. ICPP 2019: 38:1-38:10 - [c148]Abdelhalim Amer, Charles Archer, Michael Blocksome, Chongxiao Cao, Michael Chuvelev, Hajime Fujita, Maria Garzaran, Yanfei Guo, Jeff R. Hammond, Shintaro Iwasaki, Kenneth J. Raffenetti, Mikhail Shiryaev, Min Si, Kenjiro Taura, Sagar Thapaliya, Pavan Balaji:
Software combining to mitigate multithreaded MPI contention. ICS 2019: 367-379 - [c147]Joshua Hoke Davis, Tao Gao, Sunita Chandrasekaran, Heike Jagode, Anthony Danalis, Jack J. Dongarra, Pavan Balaji, Michela Taufer:
Characterization of Power Usage and Performance in Data-Intensive Applications Using MapReduce over MPI. PARCO 2019: 287-298 - [e11]Zheng Xiao, Laurence T. Yang, Pavan Balaji, Tao Li, Keqin Li, Albert Y. Zomaya:
21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2019, Zhangjiajie, China, August 10-12, 2019. IEEE 2019, ISBN 978-1-7281-2058-4 [contents] - [e10]Michela Taufer, Pavan Balaji, Antonio J. Peña:
Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2019, Denver, Colorado, USA, November 17-19, 2019. ACM 2019, ISBN 978-1-4503-6229-0 [contents] - 2018
- [j51]Adrián Castelló, Rafael Mayo, Kevin Sala, Vicenç Beltran, Pavan Balaji, Antonio J. Peña:
On the adequacy of lightweight thread approaches for high-level parallel programming models. Future Gener. Comput. Syst. 84: 22-31 (2018) - [j50]Pavan Balaji, Kai-Cheung Leung:
Introduction. Int. J. High Perform. Comput. Appl. 32(6) (2018) - [j49]Adrián Castelló, Antonio J. Peña, Rafael Mayo, Judit Planas, Enrique S. Quintana-Ortí, Pavan Balaji:
Exploring the interoperability of remote GPGPU virtualization using rCUDA and directive-based programming models. J. Supercomput. 74(11): 5628-5642 (2018) - [j48]Abdelhalim Amer, Huiwei Lu, Pavan Balaji, Milind Chabbi, Yanjie Wei, Jeff R. Hammond, Satoshi Matsuoka:
Lock Contention Management in Multithreaded MPI. ACM Trans. Parallel Comput. 5(3): 12:1-12:21 (2018) - [j47]Sangmin Seo, Abdelhalim Amer, Pavan Balaji, Cyril Bordage, George Bosilca, Alex Brooks, Philip H. Carns, Adrián Castelló, Damien Genet, Thomas Hérault, Shintaro Iwasaki, Prateek Jindal, Laxmikant V. Kalé, Sriram Krishnamoorthy, Jonathan Lifflander, Huiwei Lu, Esteban Meneses, Marc Snir, Yanhua Sun, Kenjiro Taura, Peter H. Beckman:
Argobots: A Lightweight Low-Level Threading and Tasking Framework. IEEE Trans. Parallel Distributed Syst. 29(3): 512-526 (2018) - [j46]Min Si, Antonio J. Peña, Jeff R. Hammond, Pavan Balaji, Masamichi Takagi, Yutaka Ishikawa:
Dynamic Adaptable Asynchronous Progress Model for MPI RMA Multiphase Applications. IEEE Trans. Parallel Distributed Syst. 29(9): 1975-1989 (2018) - [c146]Jianqiu Ge, Ning Guo, Jintao Meng, Bingqiang Wang, Pavan Balaji, Shengzhong Feng, Jiaxiu Zhou, Yanjie Wei:
K-mer Counting for Genomic Big Data. BigData Congress 2018: 345-351 - [c145]Atsushi Hori, Min Si, Balazs Gerofi, Masamichi Takagi, Jai Dayal, Pavan Balaji, Yutaka Ishikawa:
Process-in-process: techniques for practical address-space sharing. HPDC 2018: 131-143 - [c144]Tao Gao, Yanfei Guo, Boyu Zhang, Pietro Cicotti, Yutong Lu, Pavan Balaji, Michela Taufer:
On the Power of Combiner Optimizations in MapReduce Over MPI Workflows. ICPADS 2018: 441-448 - [c143]Rohit Zambre, Aparna Chandramowlishwaran, Pavan Balaji:
Scalable Communication Endpoints for MPI+Threads Applications. ICPADS 2018: 803-812 - [c142]Shintaro Iwasaki, Abdelhalim Amer, Kenjiro Taura, Pavan Balaji:
Lessons learned from analyzing dynamic promotion for user-level threading. SC 2018: 23:1-23:12 - [c141]Sudheer Chunduri, Scott Parker, Pavan Balaji, Kevin Harms, Kalyan Kumaran:
Characterization of MPI usage on a production supercomputer. SC 2018: 30:1-30:15 - [e9]Quan Chen, Zhiyi Huang, Pavan Balaji:
Proceedings of the 9th International Workshop on Programming Models and Applications for Multicores and Manycores, PMAM@PPoPP 2018, February 25, 2018, Vienna, Austria. ACM 2018 [contents] - 2017
- [j45]Pavan Balaji, Kai-Cheung Leung:
Foreword to the Special Issue of the workshop on the seventh international workshop on programming models and applications for multicores and manycores (PMAM 2016). Concurr. Comput. Pract. Exp. 29(15) (2017) - [j44]Pavan Balaji, Zhiyi Huang:
Special issue on programming models and applications for multicores and manycores. Int. J. High Perform. Comput. Appl. 31(5): 359-360 (2017) - [j43]Andrew A. Chien, Pavan Balaji, Nan Dun, Aiman Fang, Hajime Fujita, Kamil Iskra, Zachary A. Rubenstein, Ziming Zheng, Jeff R. Hammond, Ignacio Laguna, D. Richards, Anshu Dubey, Brian van Straalen, Mark Hoemmen, Michael A. Heroux, Keita Teranishi, Andrew R. Siegel:
Exploring versioned distributed arrays for resilience in scientific applications. Int. J. High Perform. Comput. Appl. 31(6): 564-590 (2017) - [j42]Boyu Zhang, Trilce Estrada, Pietro Cicotti, Pavan Balaji, Michela Taufer:
Enabling scalable and accurate clustering of distributed ligand geometries on supercomputers. Parallel Comput. 63: 38-60 (2017) - [c140]Hoang-Vu Dang, Sangmin Seo, Abdelhalim Amer, Pavan Balaji:
Advanced Thread Synchronization for Multithreaded MPI Implementations. CCGrid 2017: 314-324 - [c139]Nikela Papadopoulou, Lena Oden, Pavan Balaji:
A Performance Study of UCX over InfiniBand. CCGrid 2017: 345-354 - [c138]Jintao Meng, Ning Guo, Jianqiu Ge, Yanjie Wei, Pavan Balaji, Bingqiang Wang:
Scalable Assembly for Massive Genomic Graphs. CCGrid 2017: 665-670 - [c137]Xiaohui Duan, Kai Xu, Yuandong Chan, Christian Hundt, Bertil Schmidt, Pavan Balaji, Weiguo Liu:
S-Aligner: Ultrascalable Read Mapping on Sunway Taihu Light. CLUSTER 2017: 36-46 - [c136]Adrián Castelló, Sangmin Seo, Rafael Mayo, Pavan Balaji, Enrique S. Quintana-Ortí, Antonio J. Peña:
GLT: A Unified API for Lightweight Thread Libraries. Euro-Par 2017: 470-481 - [c135]Seyed Hessam Mirsadeghi, Jesper Larsson Träff, Pavan Balaji, Ahmad Afsahi:
Exploiting Common Neighborhoods to Optimize MPI Neighborhood Collectives. HiPC 2017: 348-357 - [c134]Min Si, Pavan Balaji:
Process-Based Asynchronous Progress Model for MPI Point-to-Point Communication. HPCC/SmartCity/DSS 2017: 206-214 - [c133]Sarunya Pumma, Min Si, Wu-chun Feng, Pavan Balaji:
Towards Scalable Deep Learning via I/O Analysis and Optimization. HPCC/SmartCity/DSS 2017: 223-230 - [c132]Tao Gao, Yanfei Guo, Yanjie Wei, Bingqiang Wang, Yutong Lu, Pietro Cicotti, Pavan Balaji, Michela Taufer:
Bloomfish: A Highly Scalable Distributed K-mer Counting Framework. ICPADS 2017: 170-179 - [c131]Lena Oden, Pavan Balaji:
Hexe: A Toolkit for Heterogeneous Memory Management. ICPADS 2017: 656-663 - [c130]Robert Latham, Leonardo Bautista-Gomez, Pavan Balaji:
Portable Topology-Aware MPI-I/O. ICPADS 2017: 710-719 - [c129]Sarunya Pumma, Min Si, Wu-chun Feng, Pavan Balaji:
Parallel I/O Optimizations for Scalable Deep Learning. ICPADS 2017: 720-729 - [c128]Adrián Castelló, Sangmin Seo, Rafael Mayo, Pavan Balaji, Enrique S. Quintana-Ortí, Antonio J. Peña:
GLTO: On the Adequacy of Lightweight Thread Approaches for OpenMP Implementations. ICPP 2017: 60-69 - [c127]Yanfei Guo, Charles J. Archer, Michael Blocksome, Scott Parker, Wesley Bland, Ken Raffenetti, Pavan Balaji:
Memory Compression Techniques for Network Address Management in MPI. IPDPS 2017: 1008-1017 - [c126]Tao Gao, Yanfei Guo, Boyu Zhang, Pietro Cicotti, Yutong Lu, Pavan Balaji, Michela Taufer:
Mimir: Memory-Efficient and Scalable MapReduce for Large Supercomputing Systems. IPDPS 2017: 1098-1108 - [c125]Pavan Balaji:
PDSEC Keynote. IPDPS Workshops 2017: 1117 - [c124]Ken Raffenetti, Abdelhalim Amer, Lena Oden, Charles Archer, Wesley Bland, Hajime Fujita, Yanfei Guo, Tomislav Janjusic, Dmitry Durnov, Michael Blocksome, Min Si, Sangmin Seo, Akhil Langer, Gengbin Zheng, Masamichi Takagi, Paul K. Coffman, Jithin Jose, Sayantan Sur, Alexander Sannikov, Sergey Oblomov, Michael Chuvelev, Masayuki Hatanaka, Xin Zhao, Paul F. Fischer, Thilina Rathnayake, Matthew Otten, Misun Min, Pavan Balaji:
Why is MPI so slow?: analyzing the fundamental limits in implementing MPI-3.1. SC 2017: 62 - [e8]Antonio J. Peña, Pavan Balaji, William Gropp, Rajeev Thakur:
Proceedings of the 24th European MPI Users' Group Meeting, EuroMPI/USA 2017, Chicago, IL, USA, September 25-28, 2017. ACM 2017, ISBN 978-1-4503-4849-2 [contents] - [e7]Julian M. Kunkel, Rio Yokota, Pavan Balaji, David E. Keyes:
High Performance Computing - 32nd International Conference, ISC High Performance 2017, Frankfurt, Germany, June 18-22, 2017, Proceedings. Lecture Notes in Computer Science 10266, Springer 2017, ISBN 978-3-319-58666-3 [contents] - 2016
- [j41]Abdul Hameed, Alireza Khoshkbarforoushha, Rajiv Ranjan, Prem Prakash Jayaraman, Joanna Kolodziej, Pavan Balaji, Sherali Zeadally, Qutaibah Marwan Malluhi, Nikos Tziritas, Abhinav Vishnu, Samee U. Khan, Albert Y. Zomaya:
A survey and taxonomy on energy efficient resource allocation techniques for cloud computing systems. Computing 98(7): 751-774 (2016) - [j40]Pavan Balaji, Zhiyi Huang:
Programming models and applications for multicores and manycores. Concurr. Comput. Pract. Exp. 28(2): 453-454 (2016) - [j39]Humayun Arafat, James Dinan, Sriram Krishnamoorthy, Pavan Balaji, P. Sadayappan:
Work stealing for GPU-accelerated parallel programs in a global address space framework. Concurr. Comput. Pract. Exp. 28(13): 3637-3654 (2016) - [j38]James Dinan, Pavan Balaji, Darius Buntinas, David Goodell, William Gropp, Rajeev Thakur:
An implementation and evaluation of the MPI 3.0 one-sided communication interface. Concurr. Comput. Pract. Exp. 28(17): 4385-4404 (2016) - [j37]Saif Ur Rehman Malik, Samee U. Khan, Sam J. Ewen, Nikos Tziritas, Joanna Kolodziej, Albert Y. Zomaya, Sajjad Ahmad Madani, Nasro Min-Allah, Lizhe Wang, Cheng-Zhong Xu, Qutaibah M. Malluhi, Johnatan E. Pecero, Pavan Balaji, Abhinav Vishnu, Rajiv Ranjan, Sherali Zeadally, Hongxiang Li:
Performance analysis of data intensive cloud systems based on data management and replication: a survey. Distributed Parallel Databases 34(2): 179-215 (2016) - [j36]Pavan Balaji, Abhinav Vishnu, Yong Chen:
Special Issue on Parallel Programming Models and Systems Software for High-End Computing. Parallel Comput. 51: 1-2 (2016) - [j35]Antonio J. Peña, Pavan Balaji:
A data-oriented profiler to assist in data partitioning and distribution for heterogeneous memory in HPC. Parallel Comput. 51: 46-55 (2016) - [j34]Michela Taufer, Pavan Balaji, Satoshi Matsuoka:
Special Issue on Cluster Computing. Parallel Comput. 58: 25-26 (2016) - [j33]Ashwin M. Aji, Antonio J. Peña, Pavan Balaji, Wu-chun Feng:
MultiCL: Enabling automatic scheduling for task-parallel workloads in OpenCL. Parallel Comput. 58: 37-55 (2016) - [j32]Junaid Shuja, Kashif Bilal, Sajjad Ahmad Madani, Mazliza Othman, Rajiv Ranjan, Pavan Balaji, Samee Ullah Khan:
Survey of Techniques and Architectures for Designing Energy-Efficient Data Centers. IEEE Syst. J. 10(2): 507-519 (2016) - [j31]Ashwin M. Aji, Lokendra S. Panwar, Feng Ji, Karthik Murthy, Milind Chabbi, Pavan Balaji, Keith R. Bisset, James Dinan, Wu-chun Feng, John M. Mellor-Crummey, Xiaosong Ma, Rajeev Thakur:
MPI-ACC: Accelerator-Aware MPI for Scientific Applications. IEEE Trans. Parallel Distributed Syst. 27(5): 1401-1414 (2016) - [c123]Jichi Guo, Qing Yi, Jiayuan Meng, Junchao Zhang, Pavan Balaji:
Compiler-Assisted Overlapping of Communication and Computation in MPI Applications. CLUSTER 2016: 60-69 - [c122]Adrián Castelló, Antonio J. Peña, Sangmin Seo, Rafael Mayo, Pavan Balaji, Enrique S. Quintana-Ortí:
A Review of Lightweight Thread Approaches for High Performance Computing. CLUSTER 2016: 471-480 - [c121]Sayan Ghosh, Jeff R. Hammond, Antonio J. Peña, Pavan Balaji, Assefaw Hadish Gebremedhin, Barbara M. Chapman:
One-Sided Interface for Matrix Operations Using MPI-3 RMA: A Case Study with Elemental. ICPP 2016: 185-194 - [c120]Jintao Meng, Sangmin Seo, Pavan Balaji, Yanjie Wei, Bingqiang Wang, Shengzhong Feng:
SWAP-Assembler 2: Optimization of De Novo Genome Assembler at Extreme Scale. ICPP 2016: 195-204 - [c119]Xin Zhao, Pavan Balaji, William Gropp:
Scalability Challenges in Current MPI One-Sided Implementations. ISPDC 2016: 38-47 - [c118]Abdelhalim Amer, Satoshi Matsuoka, Miquel Pericàs, Naoya Maruyama, Kenjiro Taura, Rio Yokota, Pavan Balaji:
Scaling FMM with Data-Driven OpenMP Tasks on Multicore Architectures. IWOMP 2016: 156-170 - [e6]Pavan Balaji, Kai-Cheung Leung:
Proceedings of the 7th International Workshop on Programming Models and Applications for Multicores and Manycores, PMAM@PPoPP 2016, Barcelona, Spain, March 12-16, 2016. ACM 2016, ISBN 978-1-4503-4196-7 [contents] - [e5]Julian M. Kunkel, Pavan Balaji, Jack J. Dongarra:
High Performance Computing - 31st International Conference, ISC High Performance 2016, Frankfurt, Germany, June 19-23, 2016, Proceedings. Lecture Notes in Computer Science 9697, Springer 2016, ISBN 978-3-319-41320-4 [contents] - 2015
- [j30]Pavan Balaji, Lisong Xu, Changjun Jiang, Xiaobo Zhou:
Introduction Special Section of ICCCN 2014 Conference. Comput. Commun. 69: 38-39 (2015) - [j29]Ryan E. Grant, Mohammad J. Rashti, Pavan Balaji, Ahmad Afsahi:
Scalable connectionless RDMA over unreliable datagrams. Parallel Comput. 48: 15-39 (2015) - [j28]Torsten Hoefler, James Dinan, Rajeev Thakur, Brian Barrett, Pavan Balaji, William Gropp, Keith D. Underwood:
Remote Memory Access Programming in MPI-3. ACM Trans. Parallel Comput. 2(2): 9:1-9:26 (2015) - [c117]Min Si, Pavan Balaji, Yutaka Ishikawa:
Techniques for Enabling Highly Efficient Message Passing on Many-Core Architectures. CCGRID 2015: 697-700 - [c116]Xin Zhao, Pavan Balaji, William Gropp:
Runtime Support for Irregular Computation in MPI-Based Applications. CCGRID 2015: 701-704 - [c115]Jintao Meng, Yanjie Wei, Sangmin Seo, Pavan Balaji:
SWAP-Assembler 2: Scalable Genome Assembler towards Millions of Cores - Practice and Experience. CCGRID 2015: 769-772 - [c114]Min Si, Antonio J. Peña, Jeff R. Hammond, Pavan Balaji, Yutaka Ishikawa:
Scaling NWChem with Efficient and Portable Asynchronous Communication in MPI RMA. CCGRID 2015: 811-816 - [c113]Boyu Zhang, Trilce Estrada, Pietro Cicotti, Pavan Balaji, Michela Taufer:
Accurate Scoring of Drug Conformations at the Extreme Scale. CCGRID 2015: 817-822 - [c112]Abdelhalim Amer, Huiwei Lu, Pavan Balaji, Satoshi Matsuoka:
Characterizing MPI and Hybrid MPI+Threads Applications at Scale: Case Study with BFS. CCGRID 2015: 1075-1083 - [c111]Sangmin Seo, Robert Latham, Junchao Zhang, Pavan Balaji:
Implementation and Evaluation of MPI Nonblocking Collective I/O. CCGRID 2015: 1084-1091 - [c110]Xiaomin Zhu, Junchao Zhang, Kazutomo Yoshii, Shigang Li, Yunquan Zhang, Pavan Balaji:
Analyzing MPI-3.0 Process-Level Shared Memory: A Case Study with Stencil Computations. CCGRID 2015: 1099-1106 - [c109]Wesley Bland, Huiwei Lu, Sangmin Seo, Pavan Balaji:
Lessons Learned Implementing User-Level Failure Mitigation in MPICH. CCGRID 2015: 1123-1126 - [c108]Antonio J. Peña, Pavan Balaji:
Understanding Data Access Patterns Using Object-Differentiated Memory Profiling. CCGRID 2015: 1143-1146 - [c107]Ken Raffenetti, Antonio J. Peña, Pavan Balaji:
Toward Implementing Robust Support for Portals 4 Networks in MPICH. CCGRID 2015: 1173-1176 - [c106]Ashwin Mandayam Aji, Antonio J. Peña, Pavan Balaji, Wu-chun Feng:
Automatic Command Queue Scheduling for Task-Parallel Workloads in OpenCL. CLUSTER 2015: 42-51 - [c105]Adrián Castelló, Antonio J. Peña, Rafael Mayo, Pavan Balaji, Enrique S. Quintana-Ortí:
Exploring the Suitability of Remote GPGPU Virtualization for the OpenACC Programming Model Using rCUDA. CLUSTER 2015: 92-95 - [c104]Hajime Fujita, Kamil Iskra, Pavan Balaji, Andrew A. Chien:
Empirical Comparison of Three Versioning Architectures. CLUSTER 2015: 456-459 - [c103]Nan Dun, Hajime Fujita, Aiman Fang, Yan Liu, Andrew A. Chien, Pavan Balaji, Kamil Iskra, Wesley Bland, Andrew R. Sieg