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Slota, G.M., Berry, J., Hammond, S., Olivier, S.L., Phillips, C.A., Rajamanickam, S., & Rajamanickam, S. (2019). Scalable generation of graphs for benchmarking HPC community-detection algorithms [Conference Poster]. International Conference for High Performance Computing, Networking, Storage and Analysis, SC. https://doi.org/10.1145/3295500.3356206

Pei, Y., Bosilca, G., Yamazaki, I., Ida, A., Dongarra, J., & Dongarra, J. (2019). Evaluation of Programming Models to Address Load Imbalance on Distributed Multi-Core CPUs: A Case Study with Block Low-Rank Factorization [Conference Poster]. Proceedings of PAW-ATM 2019: Parallel Applications Workshop, Alternatives to MPI+X, Held in conjunction with SC 2019: The International Conference for High Performance Computing, Networking, Storage and Analysis. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85084107961&origin=inward

Xie, B., Tan, Z., Carns, P., Chase, J.S., Harms, K., Lofstead, G.F., Oral, S., Vazhkudai, S.S., Wang, F., & Wang, F. (2019). Applying Learning Techniques to Understand the Write Performance of Large-scale Parallel Filesystems [Conference Poster]. https://www.osti.gov/biblio/1643318

Geraci, G., Blonigan, P.J., Rizzi, F., Gorodetsky, A., Carlberg, K., Eldred, M., & Eldred, M. (2019). An integrated and efficient framework for embedded Reduced Order Models for multifidelity Uncertainty Quantification [Conference Poster]. https://www.osti.gov/biblio/1643587

Bachman, W.B., Wang, Y., Furlan, J., Pagalthivarthi, K., Cutright, A., Garman, M., Visintainer, R., & Visintainer, R. (2019). WearGP: A machine learning wear prediction framework for slurry pump impellers and casings under different operating conditions [Conference Poster]. https://www.osti.gov/biblio/1643296

Aaziz, O., Vaughan, C.T., Cook, J., Cook, J., Kuehn, J., Richards, D., & Richards, D. (2019). Fine-Grained Analysis of Communication Similarity between Real and Proxy Applications [Conference Poster]. Proceedings of PMBS 2019: Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems - Held in conjunction with SC 2019: The International Conference for High Performance Computing, Networking, Storage and Analysis. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85084037580&origin=inward

Beltre, A.M., Saha, P., Govindaraju, M., Grant, R., Younge, A.J., & Younge, A.J. (2019). Enabling HPC Workloads on Cloud Infrastructure Using Kubernetes Container Orchestration Mechanisms [Conference Poster]. Proceedings of CANOPIE-HPC 2019: 1st International Workshop on Containers and New Orchestration Paradigms for Isolated Environments in HPC - Held in conjunction with SC 2019: The International Conference for High Performance Computing, Networking, Storage and Analysis. https://doi.org/10.1109/CANOPIE-HPC49598.2019.00007

Canon, R.S., Younge, A.J., & Younge, A.J. (2019). A Case for Portability and Reproducibility of HPC Containers [Conference Poster]. Proceedings of CANOPIE-HPC 2019: 1st International Workshop on Containers and New Orchestration Paradigms for Isolated Environments in HPC - Held in conjunction with SC 2019: The International Conference for High Performance Computing, Networking, Storage and Analysis. https://doi.org/10.1109/CANOPIE-HPC49598.2019.00012

Cardwell, S.G., Bennett, C., Aimone, J.B., Dellana, R., Aggarwal, S., & Aggarwal, S. (2019). Evaluating complexity and resilience trade-offs in emerging memory inference machines [Conference Poster]. https://www.osti.gov/biblio/1643292

Kramer, S., Bolintineanu, D.S., Long, K., Waymel, R., Quintana, E.C., Jones, R.E., Roberts, S.A., Newcomer, J.T., Stracuzzi, D.J., Swiler, L.P., & Swiler, L.P. (2019). Mechanics of Materials Utilizing Machine Learning: Examples at Sandia National Laboratories [Conference Poster]. https://www.osti.gov/biblio/1643105

Wildey, T., Bruder, L., Bui-Thanh, T., Butler, T., Jakeman, J.D., Marvin, B., Bachman, W.B., Walsh, S., & Walsh, S. (2019). Moving Beyond Forward Simulation to Enable Data-informed Physics-based Predictions [Presentation]. https://www.osti.gov/biblio/1646273

Schultz, P.A., Tranchida, J., Chandross, M., Thompson, A.P., & Thompson, A.P. (2019). From First-Principles toward atomistic understanding of mechanical properties in High-Entropy Alloys [Conference Poster]. https://www.osti.gov/biblio/1643633

Berry, J., Butcher, N., Catalyurek, U., Kogge, P., Lin, P., Olivier, S.L., Phillips, C.A., Rajamanickam, S., Slota, G.M., Voskuilen, G.R., Yasar, A., Young, J.S., & Young, J.S. (2019). Multi-Level Memory Algorithmics for Large, Sparse Problems. https://doi.org/10.2172/1574408

Gao, X., Mamaluy, D., Anderson, E.M., de Campbell, A., Grine, A., Katzenmeyer, A.M., Lu, T., Schmucker, S.W., Tracy, L.A., Ward, D.R., Misra, S., & Misra, S. (2019). Modeling Assisted Atomic Precision Advanced Manufacturing (APAM) Towards Room Temperature Operation [Conference Poster]. https://www.osti.gov/biblio/1643549

Aksar, B., Schwaller, B., Aaziz, O., Ates, E., Brandt, J.M., Coskun, A., Egele, M., Leung, V.J., & Leung, V.J. (2019). AD for Machine Learning Approach to Understanding HPC Application Performance Variation Poster [Conference Poster]. https://www.osti.gov/biblio/1642788

Mariner, P.E., Debusschere, B.J., Jerden, J., Seidl, D.T., Swiler, L.P., Vo, J., & Vo, J. (2019). Lessons Learned in the Development of Source Term Surrogate Models for Repository Performance Assessment [Conference Poster]. https://www.osti.gov/biblio/1643084

Baczewski, A.D., Brickson, M.I., Campbell, Q.T., Jacobson, N.T., Maurer, L., Witzel, W., Misra, S., Luhman, D.R., & Luhman, D.R. (2019). Modeling the electronic structure and dynamics of semiconductor quantum devices [Conference Poster]. https://www.osti.gov/biblio/1642785

Schwaller, B., Aksar, B., Aaziz, O., Ates, E., Brandt, J.M., Coskun, A., Egele, M., Leung, V.J., & Leung, V.J. (2019). A Machine Learning Approach to Understanding HPC Application Performance Variation [Conference Poster]. https://www.osti.gov/biblio/1642784

Results 1701–1800 of 9,998
Results 1701–1800 of 9,998