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ACMD Division

Staff information

Nathan Tallent

High-Performance Computing
Computer Scientist
Pacific Northwest National Laboratory
PO Box 999
MSIN: J4-30
Richland, WA 99352
509/372-4206

Biography

PNNL web page: http://hpc.pnnl.gov/people/tallent.

PNNL Publications

2023

  • Chen J., H. Sung, X. Shen, N.R. Tallent, K.J. Barker, and A. Li. 2023. "Accelerating Matrix-Centric Graph Processing on GPUs through Bit-Level Optimizations." Journal of Parallel and Distributed Computing 177. PNNL-SA-179122. doi:10.1016/j.jpdc.2023.02.013

2022

  • Chen J., N.R. Tallent, K.J. Barker, X. Shen, H. Sung, and A. Li. 2022. "Bit-GraphBLAS: Bit-Level Optimizations of Matrix-Centric Graph Processing on GPU." In IEEE International Parallel and Distributed Processing Symposium (IPDPS 2022), May 30-June 03, 2022, Virtual, Online, 515-525. Los Alamitos, California:IEEE Computer Society. PNNL-SA-161317. doi:10.1109/IPDPS53621.2022.00056
  • Kilic O.O., N.R. Tallent, Y. Suriyakumar, C. Xie, A. Marquez, and S. Eranian. 2022. "MemGaze: Rapid and Effective Load-Level Memory Trace Analysis." In IEEE International Conference on Cluster Computing (CLUSTER 2022), September 5-8, 2022, Heidelberg, Germany, 484-495. Piscataway, New Jersey:IEEE. PNNL-SA-174803. doi:10.1109/CLUSTER51413.2022.00058
  • Marquez A., N.R. Tallent, O.O. Kilic, C. Xie, and Y. Suriyakumar. 2022. Fixing Amdahl's Law within the Limits of Accelerated Systems: FALLACY. PNNL-33259. Richland, WA: Pacific Northwest National Laboratory. Fixing Amdahl's Law within the Limits of Accelerated Systems: FALLACY

2021

  • Bel O., J. Pata, J. Vlimant, N.R. Tallent, J. Balcas, and M. Spiropulu. 2021. "Diolkos: Improving ethernet throughput through dynamic port selection." In Proceedings of the 18th ACM International Conference on Computing Frontiers (CF 2021), May 11-13, 2021, Virtual Event, Italy, 83-92. New York, New York:ACM. PNNL-SA-160853. doi:10.1145/3457388.3458659
  • Bel O., S. Mukhopadhyay, N.R. Tallent, F. Faisal Nawab, and D. Long. 2021. "WinnowML: Stable feature selection for maximizing prediction accuracy of time-based system modeling." In IEEE International Conference on Big Data (Big Data 2021), December 15-18, 2022, Orlando, FL, edited by Y. Chen, et al, 3031-3041. Piscataway, New Jersey:IEEE. PNNL-SA-168493. doi:10.1109/BigData52589.2021.9671602
  • Ghosh S., N.R. Tallent, M. Minutoli, M. Halappanavar, R. Peri, and A. Kalyanaraman. 2021. "Single-node Partitioned-Memory for Huge Graph Analytics: Cost and Performance Trade-offs." In Proceedings of the International Conference for High Performance Computing, Network, Storage and Analysis (SC 2021), November 14-19, 2021, Virtual, Online, Art. No. 55. New York, New York:Association for Computing Machinery. PNNL-SA-161359. doi:10.1145/3458817.3476156

2020

  • Barik R., M. Minutoli, M. Halappanavar, N.R. Tallent, and A. Kalyanaraman. 2020. "Vertex Reordering for Real-world Graphs and Applications: An Empirical Evaluation." In IEEE International Symposium on Workload Characterization (IISWC 2020), October 27-30, 2020, Beijing, China, 240-251. Piscataway, New Jersey:IEEE. PNNL-SA-154319. doi:10.1109/IISWC50251.2020.00031
  • Friese R.D., B. Mutlu, N.R. Tallent, J.D. Suetterlein, and J.F. Strube. 2020. "Effectively Using Remote I/O For Work Composition in Distributed Workflows." In IEEE International Conference on Big Data (Big Data 2020), December 10-13, 2020, Atlanta, GA, 426-433. Piscataway, New Jersey:IEEE. PNNL-SA-155757. doi:10.1109/BigData50022.2020.9378352
  • Gawande N.A., J.A. Daily, C. Siegel, N.R. Tallent, and A. Vishnu. 2020. "Scaling Deep Learning Workloads: NVIDIA DGX-1/Pascal and Intel Knights Landing." Future Generation Computer Systems 108. PNNL-SA-134513. doi:10.1016/j.future.2018.04.073
  • Kilic O.O., N.R. Tallent, and R.D. Friese. 2020. "Rapid Memory Footprint Access Diagnostics." In 2020 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS 2020), August 23-25, 2020, Boston, MA, 273-284. Piscataway, New Jersey:IEEE. PNNL-SA-151215. doi:10.1109/ISPASS48437.2020.00047
  • Li A., S. Song, J. Chen, J. Li, X. Liu, N.R. Tallent, and K.J. Barker. 2020. "Evaluating Modern GPU Interconnect: PCIe, NVLink, NV-SLI, NVSwitch and GPUDirect." IEEE Transactions on Parallel and Distributed Systems 31, no. 1:94 - 110. PNNL-SA-141707. doi:10.1109/TPDS.2019.2928289

2019

  • Kilic O.O., N.R. Tallent, and R.D. Friese. 2019. "Rapidly Measuring Loop Footprints." In IEEE International Conference on Cluster Computing (CLUSTER 2019), September 23-26, 2019, Albuquerque, NM. Piscataway, New Jersey:IEEE. PNNL-SA-146801. doi:10.1109/CLUSTER.2019.8891025
  • Schram M., N.R. Tallent, R.D. Friese, A. Singh, and I. Altintas. 2019. "Application of Deep Learning on Integrating Prediction, Provenance, and Optimization." In Proceedings of the 23rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018), EPJ Web of Conferences, 214, Article No. 06007. PNNL-SA-147454. doi:10.1051/epjconf/201921406007
  • Suetterlein J.D., R.D. Friese, N.R. Tallent, and M. Schram. 2019. "TAZeR: Hiding the Cost of Remote I/O in Distributed Scientific Workflows." In IEEE International Conference on Big Data (Big Data 2019), December 9-12, 2019, Los Angeles, CA, 383-394. Piscataway, New Jersey:IEEE. PNNL-SA-148879. doi:10.1109/BigData47090.2019.9006418

2018

  • Bhuiyan T.H., M. Halappanavar, R.D. Friese, H. Medal, L. De La Torre, A. Visweswara Sathanur, and N.R. Tallent. 2018. "Stochastic Programming Approach for Resource Selection under Demand Uncertainty." In 22nd International Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP 2018), May 25, 2018, Vancouver, BC, Lecture Notes in Computer Science, edited by D Klusacek, W Cirne, and N Desai, 11332, 107 - 126. Cham:Springer. PNNL-SA-130071. doi:10.1007/978-3-030-10632-4_6
  • Li A., S. Song, J. Chen, X. Liu, N.R. Tallent, and K.J. Barker. 2018. "Tartan: Evaluating Modern GPU Interconnect via a Multi-GPU Benchmark Suite." In IEEE International Symposium on Workload Characterization (IISWC 2018), September 30-October 2, 2018, 191-202. Piscataway, New Jersey:IEEE. PNNL-SA-137642. doi:10.1109/IISWC.2018.8573483
  • Singh A., I. Altintas, M. Schram, and N.R. Tallent. 2018. "Deep Learning for Enhancing Fault Tolerant Capabilities of Scientific Workflows." In Proceedings of the IEEE International Conference on Big Data, (Big Data 2018), December 10-13, 2018, Seattle, WA, edited by Y. Song, et al, 3905-3914, Article No. 8622509. Piscataway, New Jersey:IEEE. PNNL-SA-143406. doi:10.1109/BigData.2018.8622509
  • Tallent N.R., N.A. Gawande, C.M. Siegel, A. Vishnu, and A. Hoisie. 2018. "Evaluating On-Node GPU Interconnects for Deep Learning Workloads." In Proceedings of the 8th International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computing Systems, (PMBS 2017), November 13, 2017, Denver, CO. Lecture Notes in Computer Science, edited by S. Hammond, S. Jarvis and S. Wright, 10724, 3-21. Cham:Springer Verlag. PNNL-SA-129849. doi:10.1007/978-3-319-72971-8_1

2017

  • Friese R.D., N.R. Tallent, A. Vishnu, D.J. Kerbyson, and A. Hoisie. 2017. "Generating Performance Models for Irregular Applications." In IEEE International Parallel and Distributed Processing Symposium (IPDPS 2017), May 29-June 2, 2017, Orlando, Florida, 317-326. Piscataway, New Jersey:IEEE. PNNL-SA-123945. doi:10.1109/IPDPS.2017.61
  • Gawande N.A., J.B. Landwehr, J.A. Daily, N.R. Tallent, A. Vishnu, and D.J. Kerbyson. 2017. "Scaling deep learning workloads: NVIDIA DGX-1/Pascal and Intel Knights Landing." In IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW 2017), May 29-June 2, 2017, Lake Buena Vista, Florida, 399-408. Los Alamitos, California:IEEE Computer Society. PNNL-SA-129129. doi:10.1109/IPDPSW.2017.36
  • Schram M., V. Bansal, R.D. Friese, N.R. Tallent, J. Yin, K.J. Barker, and E.G. Stephan, et al. 2017. "Integrating prediction, provenance, and optimization into high energy workflows." Journal of Physics: Conference Series 898, no. 6:Article No. 062052. PNNL-SA-129007. doi:10.1088/1742-6596/898/6/062052

2016

  • Tallent N.R., J.B. Manzano Franco, N.A. Gawande, S. Kang, D.J. Kerbyson, A. Hoisie, and J. Cross. 2016. "Algorithm and Architecture Independent Benchmarking with SEAK." In IEEE International Parallel and Distributed Processing Symposium, May 23-27, 2016, Chicago, Illinois, 63-72. Piscataway, New Jersey:IEEE. PNNL-SA-115612. doi:10.1109/IPDPS.2016.25
  • Tallent N.R., K.J. Barker, R. Gioiosa, A. Marquez, G. Kestor, S. Song, and A. Tumeo, et al. 2016. "Assessing Advanced Technology in CENATE." In Proceedings of the IEEE International Conference on Networking, Architecture, and Storage (NAS 2016), August 8-10, 2016, Long Beach, California. Piscataway, New Jersey:IEEE. PNNL-SA-119257. doi:10.1109/NAS.2016.7549392

2015

  • Gawande N.A., J.B. Manzano Franco, A. Tumeo, N.R. Tallent, D.J. Kerbyson, and A. Hoisie. 2015. "Power and Performance Trade-offs for Space Time Adaptive Processing." In IEEE 20th International Conference on Application-specific Systems, Architectures and Processors (ASAP 2015), July 27-29, 2015, Toronto, Canada, 41-48. Piscataway, New Jersey:IEEE. PNNL-SA-110779. doi:10.1109/ASAP.2015.7245703
  • Tallent N.R., A. Vishnu, H. van Dam, J.A. Daily, D.J. Kerbyson, and A. Hoisie. 2015. "Diagnosing the Causes and Severity of One-sided Message Contention." In 20th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP '15), February 7-11, 2015, San Francisco, California, 130-139. New York, New York:Association for Computing Machinery. PNNL-SA-106916. doi:10.1145/2688500.2688516
  • Venkatesh A., A. Vishnu, K. Hamidouche, N.R. Tallent, D. Panda, D.J. Kerbyson, and A. Hoisie. 2015. "A Case for Application Oblivious Energy-Efficient MPI Runtime." In SC15 Proceedings: International Conference on High Performance Computing, Networking, Storage and Analysis, November 15-20, 2015, Austin, Texas, Paper No. 29. New York, New York:Association of Computing Machinery (ACM). PNNL-SA-113351. doi:10.1145/2807591.2807658

2013

  • Song S., N.R. Tallent, and A. Vishnu. 2013. "Exploring Machine Learning Techniques For Dynamic Modeling on Future Exascale Systems." In Modeling & Simulation of Exascale Systems & Applications: Workshop on Modeling & Simulation of Exascale Systems & Applications, September 18-19, 2013, Seattle, Washington. Washington Dc:US Department of Energy, Office of Advanced Scientific Computing Research. PNNL-SA-105672.

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