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2020 – today
- 2024
[j13]William F. Godoy
, Pedro Valero-Lara, Keita Teranishi, Prasanna Balaprakash, Jeffrey S. Vetter:
Large language model evaluation for high-performance computing software development. Concurr. Comput. Pract. Exp. 36(26) (2024)- [c41]Norihisa Fujita, Beau Johnston, Narasinga Rao Miniskar, Ryohei Kobayashi, Mohammad Alaul Haque Monil, Keita Teranishi, Seyong Lee, Jeffrey S. Vetter, Taisuke Boku:
CHARM-SYCL & IRIS: A Tool Chain for Performance Portability on Extremely Heterogeneous Systems. e-Science 2024: 1-10 - [c40]Pedro Valero-Lara, Seyong Lee, Joel E. Denny, Keita Teranishi, Jeffrey S. Vetter, Marc González Tallada:
sKokkos: Enabling Kokkos with Transparent Device Selection on Heterogeneous Systems using OpenACC. HPC Asia 2024: 23-34 - [c39]Marc González Tallada, Joel E. Denny, Pedro Valero-Lara, Seyong Lee, Keita Teranishi, Jeffrey S. Vetter:
eCC++ : A Compiler Construction Framework for Embedded Domain-Specific Languages. IPDPS (Workshops) 2024: 667-677 - [c38]Mathhew Whitlock, Hemanth Kolla, Aurelien Bouteiller, Jackson R. Mayo, Nicolas M. Morales, Keita Teranishi, George Bosilca:
Asynchrony and Failure Masking via Pseudo-Local Process Recovery in MPI Applications. IPDPS (Workshops) 2024: 1164-1166 - [c37]Mohammad Alaul Haque Monil, Narasinga Rao Miniskar, Pedro Valero-Lara, Keita Teranishi, Jeffrey S. Vetter:
MatRIS: Addressing the Challenges for Portability and Heterogeneity Using Tasking for Matrix Decomposition (Cholesky). WAMTA 2024: 59-70 - 2023
- [c36]Bo Zhang, Philip E. Davis, Nicolas M. Morales, Zhao Zhang, Keita Teranishi, Manish Parashar:
Optimizing Data Movement for GPU-Based In-Situ Workflow Using GPUDirect RDMA. Euro-Par 2023: 323-338 - [c35]Nigel Tan, Jakob Lüttgau, Jack Marquez, Keita Teranishi, Nicolas M. Morales, Sanjukta Bhowmick, Franck Cappello, Michela Taufer, Bogdan Nicolae:
Scalable Incremental Checkpointing using GPU-Accelerated De-Duplication. ICPP 2023: 665-674 - [c34]William F. Godoy, Pedro Valero-Lara, Keita Teranishi, Prasanna Balaprakash, Jeffrey S. Vetter:
Evaluation of OpenAI Codex for HPC Parallel Programming Models Kernel Generation. ICPP Workshops 2023: 136-144 - [c33]Mohammad Alaul Haque Monil, Narasinga Rao Miniskar, Keita Teranishi, Jeffrey S. Vetter, Pedro Valero-Lara:
MatRIS: Multi-level Math Library Abstraction for Heterogeneity and Performance Portability using IRIS Runtime. SC Workshops 2023: 1081-1092 - [c32]Norihisa Fujita, Beau Johnston, Ryohei Kobayashi, Keita Teranishi, Seyong Lee, Taisuke Boku, Jeffrey S. Vetter:
CHARM-SYCL: New Unified Programming Environment for Multiple Accelerator Types. SC Workshops 2023: 1651-1661 - [i6]William F. Godoy, Pedro Valero-Lara, Keita Teranishi, Prasanna Balaprakash, Jeffrey S. Vetter:
Evaluation of OpenAI Codex for HPC Parallel Programming Models Kernel Generation. CoRR abs/2306.15121 (2023) - [i5]S. Isaac Geronimo Anderson, Keita Teranishi, Daniel M. Dunlavy, Jee Choi:
Analyzing the Performance Portability of Tensor Decomposition. CoRR abs/2307.03276 (2023) - [i4]Pedro Valero-Lara, Alexis Huante, Mustafa Al-Lail, William F. Godoy, Keita Teranishi, Prasanna Balaprakash, Jeffrey S. Vetter:
Comparing Llama-2 and GPT-3 LLMs for HPC kernels generation. CoRR abs/2309.07103 (2023) - 2022
- [j12]Emmanuel Agullo, Mirco Altenbernd, Hartwig Anzt, Leonardo Bautista-Gomez, Tommaso Benacchio, Luca Bonaventura, Hans-Joachim Bungartz, Sanjay Chatterjee, Florina M. Ciorba, Nathan DeBardeleben, Daniel Drzisga, Sebastian Eibl, Christian Engelmann, Wilfried N. Gansterer, Luc Giraud, Dominik Göddeke, Marco Heisig, Fabienne Jézéquel, Nils Kohl, Xiaoye Sherry Li, Romain Lion, Miriam Mehl, Paul Mycek, Michael Obersteiner, Enrique S. Quintana-Ortí, Francesco Rizzi, Ulrich Rüde, Martin Schulz, Fred Fung, Robert Speck, Linda Stals, Keita Teranishi, Samuel Thibault, Dominik Thönnes, Andreas Wagner, Barbara I. Wohlmuth:
Resiliency in numerical algorithm design for extreme scale simulations. Int. J. High Perform. Comput. Appl. 36(2): 251-285 (2022) - [c31]Bo Zhang, Pradeep Subedi, Philip E. Davis, Francesco Rizzi, Keita Teranishi, Manish Parashar:
Assembling Portable In-Situ Workflow from Heterogeneous Components using Data Reorganization. CCGRID 2022: 41-50 - [c30]Matthew Whitlock, Nicolas M. Morales, George Bosilca, Aurelien Bouteiller, Bogdan Nicolae, Keita Teranishi, Elisabeth Giem, Vivek Sarkar:
Integrating process, control-flow, and data resiliency layers using a hybrid Fenix/Kokkos approach. CLUSTER 2022: 418-428 - [e2]Xiaoye S. Li, Keita Teranishi:
Proceedings of the 2022 SIAM Conference on Parallel Processing for Scientific Computing, PP 2022, Seattle, WA, USA, February 23-26, 2022. SIAM 2022, ISBN 978-1-61197-714-1 [contents] - 2021
- [j11]Tommaso Benacchio, Luca Bonaventura, Mirco Altenbernd, Chris D. Cantwell, Peter D. Düben, Mike Gillard, Luc Giraud, Dominik Göddeke, Erwan Raffin, Keita Teranishi, Nils Wedi:
Resilience and fault tolerance in high-performance computing for numerical weather and climate prediction. Int. J. High Perform. Comput. Appl. 35(4) (2021) - [c29]Nicolas M. Morales, Keita Teranishi, Bogdan Nicolae, Christian Trott, Franck Cappello:
Towards High Performance Resilience Using Performance Portable Abstractions. Euro-Par 2021: 451-465 - 2020
- [j10]Nuria Losada, Patricia González, María J. Martín, George Bosilca, Aurélien Bouteiller, Keita Teranishi:
Fault tolerance of MPI applications in exascale systems: The ULFM solution. Future Gener. Comput. Syst. 106: 467-481 (2020) - [j9]Shaohua Duan, Pradeep Subedi, Philip E. Davis, Keita Teranishi, Hemanth Kolla, Marc Gamell, Manish Parashar:
CoREC: Scalable and Resilient In-memory Data Staging for In-situ Workflows. ACM Trans. Parallel Comput. 7(2): 12:1-12:29 (2020) - [c28]Jeremy M. Myers, Daniel M. Dunlavy, Keita Teranishi, David S. Hollman:
Parameter Sensitivity Analysis of the SparTen High Performance Sparse Tensor Decomposition Software. HPEC 2020: 1-7 - [c27]Keita Teranishi, Daniel M. Dunlavy, Jeremy M. Myers, Richard F. Barrett:
SparTen: Leveraging Kokkos for On-node Parallelism in a Second-Order Method for Fitting Canonical Polyadic Tensor Models to Poisson Data. HPEC 2020: 1-7 - [c26]Hemanth Kolla, Jackson R. Mayo, Keita Teranishi, Robert C. Armstrong:
Improving Scalability of Silent-Error Resilience for Message-Passing Solvers via Local Recovery and Asynchrony. FTXS@SC 2020: 1-10 - [c25]Sri Raj Paul, Akihiro Hayashi, Matthew Whitlock, Seonmyeong Bak, Keita Teranishi, Jackson R. Mayo, Max Grossman, Vivek Sarkar:
Integrating Inter-Node Communication with a Resilient Asynchronous Many-Task Runtime System. ExaMPI@SC 2020: 41-51 - [i3]Emmanuel Agullo, Mirco Altenbernd, Hartwig Anzt, Leonardo Bautista-Gomez, Tommaso Benacchio, Luca Bonaventura, Hans-Joachim Bungartz, Sanjay Chatterjee, Florina M. Ciorba, Nathan DeBardeleben, Daniel Drzisga, Sebastian Eibl, Christian Engelmann, Wilfried N. Gansterer, Luc Giraud, Dominik Göddeke, Marco Heisig, Fabienne Jézéquel, Nils Kohl, Xiaoye Sherry Li, Romain Lion, Miriam Mehl, Paul Mycek, Michael Obersteiner, Enrique S. Quintana-Ortí, Francesco Rizzi, Ulrich Rüde, Martin Schulz, Fred Fung, Robert Speck, Linda Stals, Keita Teranishi, Samuel Thibault, Dominik Thönnes, Andreas Wagner, Barbara I. Wohlmuth:
Resiliency in Numerical Algorithm Design for Extreme Scale Simulations. CoRR abs/2010.13342 (2020) - [i2]Jeremy M. Myers, Daniel M. Dunlavy, Keita Teranishi, David S. Hollman:
Parameter Sensitivity Analysis of the SparTen High Performance Sparse Tensor Decomposition Software: Extended Analysis. CoRR abs/2012.01520 (2020)
2010 – 2019
- 2019
- [c24]Sri Raj Paul, Akihiro Hayashi, Nicole Slattengren, Hemanth Kolla, Matthew Whitlock, Seonmyeong Bak, Keita Teranishi, Jackson R. Mayo, Vivek Sarkar:
Enabling Resilience in Asynchronous Many-Task Programming Models. Euro-Par 2019: 346-360 - 2018
- [j8]Saurabh Hukerikar, Keita Teranishi, Pedro C. Diniz, Robert F. Lucas:
RedThreads: An Interface for Application-Level Fault Detection/Correction Through Adaptive Redundant Multithreading. Int. J. Parallel Program. 46(2): 225-251 (2018) - [c23]Shaohua Duan, Pradeep Subedi, Keita Teranishi, Philip E. Davis, Hemanth Kolla, Marc Gamell, Manish Parashar:
Scalable Data Resilience for In-memory Data Staging. IPDPS 2018: 105-115 - [c22]Peter Strazdins, Keita Teranishi, Raphaël Couturier, Joseph Antony, Thomas Rauber, Gudula Rünger, Laurence T. Yang:
Introduction to PDSEC 2018 and Keynotes. IPDPS Workshops 2018: 943-946 - 2017
- [j7]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) - [j6]Marc Gamell, Keita Teranishi, Hemanth Kolla, Jackson R. Mayo, Michael A. Heroux, Jacqueline Chen, Manish Parashar:
Scalable Failure Masking for Stencil Computations using Ghost Region Expansion and Cell to Rank Remapping. SIAM J. Sci. Comput. 39(5) (2017) - [j5]Marc Gamell, Keita Teranishi, Jackson R. Mayo, Hemanth Kolla, Michael A. Heroux, Jacqueline Chen, Manish Parashar:
Modeling and Simulating Multiple Failure Masking Enabled by Local Recovery for Stencil-Based Applications at Extreme Scales. IEEE Trans. Parallel Distributed Syst. 28(10): 2881-2895 (2017) - [c21]Peter E. Strazdins, Keita Teranishi, Raphaël Couturier, Joseph Antony, Thomas Rauber, Gudula Rünger, Laurence T. Yang:
Introduction to PDSEC Workshop. IPDPS Workshops 2017: 1115-1116 - 2016
- [c20]Marc Gamell, Daniel S. Katz, Keita Teranishi, Michael A. Heroux, Rob F. Van der Wijngaart, Timothy G. Mattson, Manish Parashar:
Evaluating Online Global Recovery with Fenix Using Application-Aware In-Memory Checkpointing Techniques. ICPP Workshops 2016: 346-355 - [c19]Peter Strazdins, Raphaël Couturier, Keita Teranishi, Alan Gray, Thomas Rauber, Gudula Rünger, Laurence T. Yang:
PDSEC Introduction and Committees. IPDPS Workshops 2016: 1200-1201 - [i1]Saurabh Hukerikar, Keita Teranishi, Pedro C. Diniz, Robert F. Lucas:
RedThreads: An Interface for Application-level Fault Detection/Correction through Adaptive Redundant Multithreading. CoRR abs/1610.01728 (2016) - 2015
- [c18]Jeremiah J. Wilke, Keita Teranishi, Janine C. Bennett, Hemanth Kolla, David S. Hollman, Nicole Slattengren:
Evolving the Message Passing Programming Model via a Fault-Tolerant, Object-oriented Transport Layer. FTXS@HPDC 2015: 41-46 - [c17]Marc Gamell, Keita Teranishi, Michael A. Heroux, Jackson R. Mayo, Hemanth Kolla, Jacqueline Chen, Manish Parashar:
Exploring Failure Recovery for Stencil-based Applications at Extreme Scales. HPDC 2015: 279-282 - [c16]Andrew A. Chien, Pavan Balaji, Peter H. Beckman, Nan Dun, Aiman Fang, Hajime Fujita, Kamil Iskra, Zachary A. Rubenstein, Ziming Zheng, Rob Schreiber, Jeff R. Hammond, James Dinan, Ignacio Laguna, D. Richards, Anshu Dubey, Brian van Straalen, Mark Hoemmen, Michael A. Heroux, Keita Teranishi, Andrew R. Siegel:
Versioned Distributed Arrays for Resilience in Scientific Applications: Global View Resilience. ICCS 2015: 29-38 - [c15]Peter E. Strazdins, Raphaël Couturier, Keita Teranishi, John O'Donnell, Thomas Rauber, Gudula Rünger, Laurence T. Yang:
PDSEC Introduction and Committees. IPDPS Workshops 2015: 919-920 - [c14]Thomas Hérault, Aurélien Bouteiller, George Bosilca, Marc Gamell, Keita Teranishi, Manish Parashar, Jack J. Dongarra:
Practical scalable consensus for pseudo-synchronous distributed systems. SC 2015: 31:1-31:12 - [c13]Marc Gamell, Keita Teranishi, Michael A. Heroux, Jackson R. Mayo, Hemanth Kolla, Jacqueline Chen, Manish Parashar:
Local recovery and failure masking for stencil-based applications at extreme scales. SC 2015: 70:1-70:12 - 2014
- [c12]Jeremiah J. Wilke, Janine Bennett, Hemanth Kolla, Keita Teranishi, Nicole Slattengren, John Floren:
Extreme-Scale Viability of Collective Communication for Resilient Task Scheduling and Work Stealing. DSN 2014: 756-761 - [c11]Saurabh Hukerikar, Pedro C. Diniz, Robert F. Lucas, Keita Teranishi:
Opportunistic application-level fault detection through adaptive redundant multithreading. HPCS 2014: 243-250 - [c10]Saurabh Hukerikar, Keita Teranishi, Pedro C. Diniz, Robert F. Lucas:
An evaluation of lazy fault detection based on Adaptive Redundant Multithreading. HPEC 2014: 1-6 - [c9]Peter E. Strazdins, Raphaël Couturier, Michelle Mills Strout, Keita Teranishi, Thomas Rauber, Gudula Rünger, Laurence T. Yang:
PDSEC Introduction and Committees. IPDPS Workshops 2014: 1138-1139 - [c8]Keita Teranishi, Michael A. Heroux:
Toward Local Failure Local Recovery Resilience Model using MPI-ULFM. EuroMPI/ASIA 2014: 51 - [c7]Ziming Zheng, Andrew A. Chien, Keita Teranishi:
Fault Tolerance in an Inner-Outer Solver: A GVR-Enabled Case Study. VECPAR 2014: 124-132 - 2011
- [j4]Ikuro Yamazaki, Hiroto Tadano, Tetsuya Sakurai, Keita Teranishi:
A convergence improvement of the BSAIC preconditioner by deflation. JSIAM Lett. 3: 5-8 (2011) - 2010
- [j3]Ikuro Yamazaki, Masayuki Okada, Hiroto Tadano, Tetsuya Sakurai, Keita Teranishi:
A block sparse approximate inverse with cutoff preconditioner for semi-sparse linear systems derived from Molecular Orbital calculations. JSIAM Lett. 2: 41-44 (2010) - [j2]Padma Raghavan, Keita Teranishi:
Parallel Hybrid Preconditioning: Incomplete Factorization with Selective Sparse Approximate Inversion. SIAM J. Sci. Comput. 32(3): 1323-1345 (2010) - [p1]Reiji Suda, Ken Naono, Keita Teranishi, John Cavazos:
Software Automatic Tuning: Concepts and State-of-the-Art Results. Software Automatic Tuning, From Concepts to State-of-the-Art Results 2010: 3-15 - [e1]Ken Naono, Keita Teranishi, John Cavazos, Reiji Suda:
Software Automatic Tuning, From Concepts to State-of-the-Art Results. Springer 2010, ISBN 978-1-4419-6934-7 [contents]
2000 – 2009
- 2004
- [c6]Keita Teranishi, Padma Raghavan, Zi-Kui Liu:
Towards a Grid enabled system for multicomponent materials design. CCGRID 2004: 664-669 - [c5]Keita Teranishi, Padma Raghavan:
Parallel Hybrid Sparse Solvers Through Flexible Incomplete Cholesky Preconditioning. PARA 2004: 637-643 - 2003
- [j1]Padma Raghavan, Keita Teranishi, Esmond G. Ng:
A latency tolerant hybrid sparse solver using incomplete Cholesky factorization. Numer. Linear Algebra Appl. 10(5-6): 541-560 (2003) - [c4]Keita Teranishi, Padma Raghavan, Chao Yang:
Time-Memory Trade-Offs Using Sparse Matrix Methods for Large-Scale Eigenvalue Problems. ICCSA (1) 2003: 840-847 - 2002
- [c3]Sanjukta Bhowmick, Padma Raghavan, Keita Teranishi:
A Combinatorial Scheme for Developing Efficient Composite Solvers. International Conference on Computational Science (2) 2002: 325-334 - [c2]Keita Teranishi, Padma Raghavan, Esmond G. Ng:
A new data-mapping scheme for latency-tolerant distributed sparse triangular solution. SC 2002: 50:1-50:11 - 2001
- [c1]Keita Teranishi, Padma Raghavan, Esmond G. Ng:
Scalable Preconditioning Using Incomplete Factors. PP 2001
Coauthor Index
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