Nathan R. Tallent

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 35

Top Topics

Scientific Workflows

Resource Selection

Benchmark Suite

Top Venues

Publications

Waqwoya Abebe, Jan Strube, Luanzheng Guo, Nathan R. Tallent, Oceane Bel, Steven R. Spurgeon, Christina Doty, Ali Jannesari
SAM-I-Am: Semantic Boosting for Zero-shot Atomic-Scale Electron Micrograph Segmentation. CoRR (2024)
Joshua Suetterlein, Stephen J. Young, J. esun Firoz, Joseph B. Manzano, Ryan D. Friese, Nathan R. Tallent, Kevin J. Barker, Timothy Stavenger
Automatic Extraction of Network Configurations for Realistic Simulation and Validation. ISPASS (2024)
Md Nahid Newaz, Sayan Ghosh, Joshua Suetterlein, Nathan R. Tallent, Md Atiqul Mollah, Hua Ming
Graph Analytics on Jellyfish topology. IPDPS (2024)
Jou-An Chen, Hsin-Hsuan Sung, Xipeng Shen, Nathan R. Tallent, Kevin J. Barker, Ang Li
Accelerating matrix-centric graph processing on GPUs through bit-level optimizations. J. Parallel Distributed Comput. 177 (2023)
Arun V. Sathanur, Nathan R. Tallent, Patrick Konsor, Ken Koyanagi, Ryan McLaughlin, Joseph Olivas, Michael Chynoweth
M: Learning Quantitative Performance of Latency-Sensitive Code. IPDPS Workshops (2022)
Nathan R. Tallent
ReWorDs 2022 Keynote: Towards Orchestrating Distributed & Data-Intensive Workflows. e-Science (2022)
Jou-An Chen, Hsin-Hsuan Sung, Xipeng Shen, Nathan R. Tallent, Kevin J. Barker, Ang Li
Bit-GraphBLAS: Bit-Level Optimizations of Matrix-Centric Graph Processing on GPU. IPDPS (2022)
Sayan Ghosh, Nathan R. Tallent, Mahantesh Halappanavar
Characterizing Performance of Graph Neighborhood Communication Patterns. IEEE Trans. Parallel Distributed Syst. 33 (4) (2022)
Ozgur O. Kilic, Nathan R. Tallent, Yasodha Suriyakumar, Chenhao Xie, Andrès Márquez, Stéphane Eranian
MemGaze: Rapid and Effective Load-Level Memory Trace Analysis. CLUSTER (2022)
Jou-An Chen, Hsin-Hsuan Sung, Nathan R. Tallent, Kevin J. Barker, Xipeng Shen, Ang Li
Bit-GraphBLAS: Bit-Level Optimizations of Matrix-Centric Graph Processing on GPU. CoRR (2022)
Seher Acer, Ariful Azad, Erik G. Boman, Aydin Buluç, Karen D. Devine, S. M. Ferdous, Nitin Gawande, Sayan Ghosh, Mahantesh Halappanavar, Ananth Kalyanaraman, Arif Khan, Marco Minutoli, Alex Pothen, Sivasankaran Rajamanickam, Oguz Selvitopi, Nathan R. Tallent, Antonino Tumeo
EXAGRAPH: Graph and combinatorial methods for enabling exascale applications. Int. J. High Perform. Comput. Appl. 35 (6) (2021)
Sayan Ghosh, Nathan R. Tallent, Marco Minutoli, Mahantesh Halappanavar, Ramesh Peri, Ananth Kalyanaraman
Single-node partitioned-memory for huge graph analytics: cost and performance trade-offs. SC (2021)
Oceane Bel, Sinjoni Mukhopadhyay, Nathan R. Tallent, Faisal Nawab, Darrell D. E. Long
WinnowML: Stable feature selection for maximizing prediction accuracy of time-based system modeling. IEEE BigData (2021)
Oceane Bel, Joosep Pata, Jean-Roch Vlimant, Nathan R. Tallent, Justas Balcas, Maria Spiropulu
Diolkos: improving ethernet throughput through dynamic port selection. CF (2021)
Ozgur O. Kilic, Nathan R. Tallent, Ryan D. Friese
Rapid Memory Footprint Access Diagnostics. ISPASS (2020)
Nitin A. Gawande, Jeff A. Daily, Charles Siegel, Nathan R. Tallent, Abhinav Vishnu
Scaling Deep Learning workloads: NVIDIA DGX-1/Pascal and Intel Knights Landing. Future Gener. Comput. Syst. 108 (2020)
Reet Barik, Marco Minutoli, Mahantesh Halappanavar, Nathan R. Tallent, Ananth Kalyanaraman
Vertex Reordering for Real-World Graphs and Applications: An Empirical Evaluation. IISWC (2020)
Ryan D. Friese, Burcu Ozcelik Mutlu, Nathan R. Tallent, Joshua Suetterlein, Jan Strube
Effectively Using Remote I/O For Work Composition in Distributed Workflows. IEEE BigData (2020)
Ang Li, Shuaiwen Leon Song, Jieyang Chen, Jiajia Li, Xu Liu, Nathan R. Tallent, Kevin J. Barker
Evaluating Modern GPU Interconnect: PCIe, NVLink, NV-SLI, NVSwitch and GPUDirect. IEEE Trans. Parallel Distributed Syst. 31 (1) (2020)
Oceane Bel, Kenneth Chang, Nathan R. Tallent, Dirk Düllmann, Ethan L. Miller, Faisal Nawab, Darrell D. E. Long
Geomancy: Automated Performance Enhancement through Data Layout Optimization. ISPASS (2020)
Ozgur O. Kilic, Nathan R. Tallent, Ryan D. Friese
Rapidly Measuring Loop Footprints. CLUSTER (2019)
Joshua Suetterlein, Ryan D. Friese, Nathan R. Tallent, Malachi Schram
TAZeR: Hiding the Cost of Remote I/O in Distributed Scientific Workflows. IEEE BigData (2019)
Ang Li, Shuaiwen Leon Song, Jieyang Chen, Jiajia Li, Xu Liu, Nathan R. Tallent, Kevin J. Barker
Evaluating Modern GPU Interconnect: PCIe, NVLink, NV-SLI, NVSwitch and GPUDirect. CoRR (2019)
Ryan D. Friese, Nathan R. Tallent, Malachi Schram, Mahantesh Halappanavar, Kevin J. Barker
Optimizing Distributed Data-Intensive Workflows. CLUSTER (2018)
Tanveer Hossain Bhuiyan, Mahantesh Halappanavar, Ryan D. Friese, Hugh R. Medal, Luis de la Torre, Arun V. Sathanur, Nathan R. Tallent
Stochastic Programming Approach for Resource Selection Under Demand Uncertainty. JSSPP (2018)
Alok Singh, Ilkay Altintas, Malachi Schram, Nathan R. Tallent
Deep Learning for Enhancing Fault Tolerant Capabilities of Scientific Workflows. IEEE BigData (2018)
Ang Li, Shuaiwen Leon Song, Jieyang Chen, Xu Liu, Nathan R. Tallent, Kevin J. Barker
Tartan: Evaluating Modern GPU Interconnect via a Multi-GPU Benchmark Suite. IISWC (2018)
Nathan R. Tallent, Nitin A. Gawande, Charles Siegel, Abhinav Vishnu, Adolfy Hoisie
Evaluating On-Node GPU Interconnects for Deep Learning Workloads. PMBS@SC (2017)
Nitin A. Gawande, Joshua B. Landwehr, Jeff A. Daily, Nathan R. Tallent, Abhinav Vishnu, Darren J. Kerbyson
Scaling Deep Learning Workloads: NVIDIA DGX-1/Pascal and Intel Knights Landing. IPDPS Workshops (2017)
Nathan R. Tallent, Darren J. Kerbyson, Adolfy Hoisie
Representative paths analysis. SC (2017)
Ryan D. Friese, Nathan R. Tallent, Abhinav Vishnu, Darren J. Kerbyson, Adolfy Hoisie
Generating Performance Models for Irregular Applications. IPDPS (2017)
Nathan R. Tallent, Joseph B. Manzano, Nitin A. Gawande, Seunghwa Kang, Darren J. Kerbyson, Adolfy Hoisie, Joseph K. Cross
Algorithm and Architecture Independent Benchmarking with SEAK. IPDPS (2016)
Nathan R. Tallent, Kevin J. Barker, Daniel G. Chavarría-Miranda, Antonino Tumeo, Mahantesh Halappanavar, Andrès Márquez, Darren J. Kerbyson, Adolfy Hoisie
Modeling the Impact of Silicon Photonics on Graph Analytics. NAS (2016)
Nathan R. Tallent, Kevin J. Barker, Roberto Gioiosa, Andrès Márquez, Gokcen Kestor, Leon Song, Antonino Tumeo, Darren J. Kerbyson, Adolfy Hoisie
Assessing Advanced Technology in CENATE. NAS (2016)
Abhinav Vishnu, Hubertus Van Dam, Nathan R. Tallent, Darren J. Kerbyson, Adolfy Hoisie
Fault Modeling of Extreme Scale Applications Using Machine Learning. IPDPS (2016)
Nitin A. Gawande, Joseph B. Manzano, Antonino Tumeo, Nathan R. Tallent, Darren J. Kerbyson, Adolfy Hoisie
Power and performance trade-offs for Space Time Adaptive Processing. ASAP (2015)
Nathan R. Tallent, Abhinav Vishnu, Hubertus Van Dam, Jeff Daily, Darren J. Kerbyson, Adolfy Hoisie
Diagnosing the causes and severity of one-sided message contention. PPOPP (2015)
Akshay Venkatesh, Abhinav Vishnu, Khaled Hamidouche, Nathan R. Tallent, Dhabaleswar K. Panda, Darren J. Kerbyson, Adolfy Hoisie
A case for application-oblivious energy-efficient MPI runtime. SC (2015)
Mahantesh Halappanavar, Malachi Schram, Luis de la Torre, Kevin J. Barker, Nathan R. Tallent, Darren J. Kerbyson
Towards efficient scheduling of data intensive high energy physics workflows. WORKS@SC (2015)
Nathan R. Tallent, Adolfy Hoisie
Palm: easing the burden of analytical performance modeling. ICS (2014)
Nathan R. Tallent, John M. Mellor-Crummey, Michael Franco, Reed Landrum, Laksono Adhianto
Scalable fine-grained call path tracing. ICS (2011)
Nathan R. Tallent, John M. Mellor-Crummey
Using Sampling to Understand Parallel Program Performance. Parallel Tools Workshop (2011)
Nathan R. Tallent, Laksono Adhianto, John M. Mellor-Crummey
Scalable Identification of Load Imbalance in Parallel Executions Using Call Path Profiles. SC (2010)
Nathan R. Tallent, John M. Mellor-Crummey, Allan Porterfield
Analyzing lock contention in multithreaded applications. PPOPP (2010)
Laksono Adhianto, John M. Mellor-Crummey, Nathan R. Tallent
Effectively Presenting Call Path Profiles of Application Performance. ICPP Workshops (2010)
Laksono Adhianto, S. Banerjee, Michael W. Fagan, Mark Krentel, Gabriel Marin, John M. Mellor-Crummey, Nathan R. Tallent
HPCTOOLKIT: tools for performance analysis of optimized parallel programs. Concurr. Comput. Pract. Exp. 22 (6) (2010)
Nathan R. Tallent, John M. Mellor-Crummey, Laksono Adhianto, Michael W. Fagan, Mark Krentel
Diagnosing performance bottlenecks in emerging petascale applications. SC (2009)
Nathan R. Tallent, John M. Mellor-Crummey
Effective performance measurement and analysis of multithreaded applications. PPOPP (2009)
Nathan R. Tallent, John M. Mellor-Crummey, Michael W. Fagan
Binary analysis for measurement and attribution of program performance. PLDI (2009)
Nathan R. Tallent, John M. Mellor-Crummey
Identifying Performance Bottlenecks in Work-Stealing Computations. Computer 42 (11) (2009)
Jean Utke, Uwe Naumann, Michael W. Fagan, Nathan R. Tallent, Michelle Mills Strout, Patrick Heimbach, Chris Hill, Carl Wunsch
OpenAD/F: A Modular Open-Source Tool for Automatic Differentiation of Fortran Codes. ACM Trans. Math. Softw. 34 (4) (2008)
John M. Mellor-Crummey, Robert J. Fowler, Gabriel Marin, Nathan R. Tallent
HPCVIEW: A Tool for Top-down Analysis of Node Performance. J. Supercomput. 23 (1) (2002)