Keita Teranishi

According to our database, Keita Teranishi authored at least 58 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Large language model evaluation for high-performance computing software development.

William F. Godoy, Pedro Valero-Lara, Keita Teranishi, Prasanna Balaprakash, Jeffrey S. Vetter

Concurr. Comput. Pract. Exp., November, 2024

MatRIS: Addressing the Challenges for Portability and Heterogeneity Using Tasking for Matrix Decomposition (Cholesky).

Mohammad Alaul Haque Monil, Narasinga Rao Miniskar, Pedro Valero-Lara, Keita Teranishi, Jeffrey S. Vetter

Proceedings of the Asynchronous Many-Task Systems and Applications, 2024

Asynchrony and Failure Masking via Pseudo-Local Process Recovery in MPI Applications.

Mathhew Whitlock, Hemanth Kolla, Aurelien Bouteiller, Jackson R. Mayo, Nicolas M. Morales, Keita Teranishi, George Bosilca

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

eCC++ : A Compiler Construction Framework for Embedded Domain-Specific Languages.

Marc González Tallada, Joel E. Denny, Pedro Valero-Lara, Seyong Lee, Keita Teranishi, Jeffrey S. Vetter

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

sKokkos: Enabling Kokkos with Transparent Device Selection on Heterogeneous Systems using OpenACC.

Pedro Valero-Lara, Seyong Lee, Joel E. Denny, Keita Teranishi, Jeffrey S. Vetter, Marc González Tallada

Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region, 2024

CHARM-SYCL & IRIS: A Tool Chain for Performance Portability on Extremely Heterogeneous Systems.

Norihisa Fujita, Beau Johnston, Narasinga Rao Miniskar, Ryohei Kobayashi, Mohammad Alaul Haque Monil, Keita Teranishi, Seyong Lee, Jeffrey S. Vetter, Taisuke Boku

Proceedings of the 20th IEEE International Conference on e-Science, 2024

2023

Comparing Llama-2 and GPT-3 LLMs for HPC kernels generation.

Pedro Valero-Lara, Alexis Huante, Mustafa Al-Lail, William F. Godoy, Keita Teranishi, Prasanna Balaprakash, Jeffrey S. Vetter

CoRR, 2023

Analyzing the Performance Portability of Tensor Decomposition.

S. Isaac Geronimo Anderson, Keita Teranishi, Daniel M. Dunlavy, Jee Choi

CoRR, 2023

MatRIS: Multi-level Math Library Abstraction for Heterogeneity and Performance Portability using IRIS Runtime.

Mohammad Alaul Haque Monil, Narasinga Rao Miniskar, Keita Teranishi, Jeffrey S. Vetter, Pedro Valero-Lara

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

CHARM-SYCL: New Unified Programming Environment for Multiple Accelerator Types.

Norihisa Fujita, Beau Johnston, Ryohei Kobayashi, Keita Teranishi, Seyong Lee, Taisuke Boku, Jeffrey S. Vetter

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Evaluation of OpenAI Codex for HPC Parallel Programming Models Kernel Generation.

William F. Godoy, Pedro Valero-Lara, Keita Teranishi, Prasanna Balaprakash, Jeffrey S. Vetter

Proceedings of the 52nd International Conference on Parallel Processing Workshops, 2023

Scalable Incremental Checkpointing using GPU-Accelerated De-Duplication.

Nigel Tan, Jakob Lüttgau, Jack Marquez, Keita Teranishi, Nicolas M. Morales, Sanjukta Bhowmick, Franck Cappello, Michela Taufer, Bogdan Nicolae

Proceedings of the 52nd International Conference on Parallel Processing, 2023

Optimizing Data Movement for GPU-Based In-Situ Workflow Using GPUDirect RDMA.

Bo Zhang, Philip E. Davis, Nicolas M. Morales, Zhao Zhang, Keita Teranishi, Manish Parashar

Proceedings of the Euro-Par 2023: Parallel Processing - 29th International Conference on Parallel and Distributed Computing, Limassol, Cyprus, August 28, 2023

2022

Resiliency in numerical algorithm design for extreme scale simulations.

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

Int. J. High Perform. Comput. Appl., 2022

Integrating process, control-flow, and data resiliency layers using a hybrid Fenix/Kokkos approach.

Matthew Whitlock, Nicolas M. Morales, George Bosilca, Aurelien Bouteiller, Bogdan Nicolae, Keita Teranishi, Elisabeth Giem, Vivek Sarkar

Proceedings of the IEEE International Conference on Cluster Computing, 2022

Assembling Portable In-Situ Workflow from Heterogeneous Components using Data Reorganization.

Bo Zhang, Pradeep Subedi, Philip E. Davis, Francesco Rizzi, Keita Teranishi, Manish Parashar

Proceedings of the 22nd IEEE International Symposium on Cluster, 2022

2021

Resilience and fault tolerance in high-performance computing for numerical weather and climate prediction.

Tommaso Benacchio, Luca Bonaventura, Mirco Altenbernd, Chris D. Cantwell, Peter D. Düben, Mike Gillard, Luc Giraud, Dominik Göddeke, Erwan Raffin, Keita Teranishi, Nils Wedi

Int. J. High Perform. Comput. Appl., 2021

Towards High Performance Resilience Using Performance Portable Abstractions.

Nicolas M. Morales, Keita Teranishi, Bogdan Nicolae, Christian Trott, Franck Cappello

Proceedings of the Euro-Par 2021: Parallel Processing, 2021

2020

CoREC: Scalable and Resilient In-memory Data Staging for In-situ Workflows.

Shaohua Duan, Pradeep Subedi, Philip E. Davis, Keita Teranishi, Hemanth Kolla, Marc Gamell, Manish Parashar

ACM Trans. Parallel Comput., 2020

Fault tolerance of MPI applications in exascale systems: The ULFM solution.

Nuria Losada, Patricia González, María J. Martín, George Bosilca, Aurélien Bouteiller, Keita Teranishi

Future Gener. Comput. Syst., 2020

Parameter Sensitivity Analysis of the SparTen High Performance Sparse Tensor Decomposition Software: Extended Analysis.

Jeremy M. Myers, Daniel M. Dunlavy, Keita Teranishi, David S. Hollman

CoRR, 2020

Integrating Inter-Node Communication with a Resilient Asynchronous Many-Task Runtime System.

Sri Raj Paul, Akihiro Hayashi, Matthew Whitlock, Seonmyeong Bak, Keita Teranishi, Jackson R. Mayo, Max Grossman, Vivek Sarkar

Proceedings of the Workshop on Exascale MPI, 2020

Improving Scalability of Silent-Error Resilience for Message-Passing Solvers via Local Recovery and Asynchrony.

Hemanth Kolla, Jackson R. Mayo, Keita Teranishi, Robert C. Armstrong

Proceedings of the 10th IEEE/ACM Workshop on Fault Tolerance for HPC at eXtreme Scale, 2020

SparTen: Leveraging Kokkos for On-node Parallelism in a Second-Order Method for Fitting Canonical Polyadic Tensor Models to Poisson Data.

Keita Teranishi, Daniel M. Dunlavy, Jeremy M. Myers, Richard F. Barrett

Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020

Parameter Sensitivity Analysis of the SparTen High Performance Sparse Tensor Decomposition Software.

Jeremy M. Myers, Daniel M. Dunlavy, Keita Teranishi, David S. Hollman

Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020

2019

Enabling Resilience in Asynchronous Many-Task Programming Models.

Sri Raj Paul, Akihiro Hayashi, Nicole Slattengren, Hemanth Kolla, Matthew Whitlock, Seonmyeong Bak, Keita Teranishi, Jackson R. Mayo, Vivek Sarkar

Proceedings of the Euro-Par 2019: Parallel Processing, 2019

2018

RedThreads: An Interface for Application-Level Fault Detection/Correction Through Adaptive Redundant Multithreading.

Saurabh Hukerikar, Keita Teranishi, Pedro C. Diniz, Robert F. Lucas

Int. J. Parallel Program., 2018

Introduction to PDSEC 2018 and Keynotes.

Peter Strazdins, Keita Teranishi, Raphaël Couturier, Joseph Antony, Thomas Rauber, Gudula Rünger, Laurence T. Yang

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018

Scalable Data Resilience for In-memory Data Staging.

Shaohua Duan, Pradeep Subedi, Keita Teranishi, Philip E. Davis, Hemanth Kolla, Marc Gamell, Manish Parashar

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

2017

Modeling and Simulating Multiple Failure Masking Enabled by Local Recovery for Stencil-Based Applications at Extreme Scales.

Marc Gamell, Keita Teranishi, Jackson R. Mayo, Hemanth Kolla, Michael A. Heroux, Jacqueline Chen, Manish Parashar

IEEE Trans. Parallel Distributed Syst., 2017

Scalable Failure Masking for Stencil Computations using Ghost Region Expansion and Cell to Rank Remapping.

Marc Gamell, Keita Teranishi, Hemanth Kolla, Jackson R. Mayo, Michael A. Heroux, Jacqueline Chen, Manish Parashar

SIAM J. Sci. Comput., 2017

Exploring versioned distributed arrays for resilience in scientific applications.

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

Int. J. High Perform. Comput. Appl., 2017

Introduction to PDSEC Workshop.

Peter E. Strazdins, Keita Teranishi, Raphaël Couturier, Joseph Antony, Thomas Rauber, Gudula Rünger, Laurence T. Yang

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

2016

PDSEC Introduction and Committees.

Peter Strazdins, Raphaël Couturier, Keita Teranishi, Alan Gray, Thomas Rauber, Gudula Rünger, Laurence T. Yang

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

Evaluating Online Global Recovery with Fenix Using Application-Aware In-Memory Checkpointing Techniques.

Marc Gamell, Daniel S. Katz, Keita Teranishi, Michael A. Heroux, Rob F. Van der Wijngaart, Timothy G. Mattson, Manish Parashar

Proceedings of the 45th International Conference on Parallel Processing Workshops, 2016

2015

Practical scalable consensus for pseudo-synchronous distributed systems.

Thomas Hérault, Aurélien Bouteiller, George Bosilca, Marc Gamell, Keita Teranishi, Manish Parashar, Jack J. Dongarra

Proceedings of the International Conference for High Performance Computing, 2015

Local recovery and failure masking for stencil-based applications at extreme scales.

Marc Gamell, Keita Teranishi, Michael A. Heroux, Jackson R. Mayo, Hemanth Kolla, Jacqueline Chen, Manish Parashar

Proceedings of the International Conference for High Performance Computing, 2015

PDSEC Introduction and Committees.

Peter E. Strazdins, Raphaël Couturier, Keita Teranishi, John O'Donnell, Thomas Rauber, Gudula Rünger, Laurence T. Yang

Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium Workshop, 2015

Versioned Distributed Arrays for Resilience in Scientific Applications: Global View Resilience.

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

Proceedings of the International Conference on Computational Science, 2015

Evolving the Message Passing Programming Model via a Fault-Tolerant, Object-oriented Transport Layer.

Jeremiah J. Wilke, Keita Teranishi, Janine C. Bennett, Hemanth Kolla, David S. Hollman, Nicole Slattengren

Proceedings of the 5th Workshop on Fault Tolerance for HPC at eXtreme Scale, 2015

Exploring Failure Recovery for Stencil-based Applications at Extreme Scales.

Marc Gamell, Keita Teranishi, Michael A. Heroux, Jackson R. Mayo, Hemanth Kolla, Jacqueline Chen, Manish Parashar

Proceedings of the 24th International Symposium on High-Performance Parallel and Distributed Computing, 2015

2014

Fault Tolerance in an Inner-Outer Solver: A GVR-Enabled Case Study.

Ziming Zheng, Andrew A. Chien, Keita Teranishi

Proceedings of the High Performance Computing for Computational Science - VECPAR 2014 - 11th International Conference, Eugene, OR, USA, June 30, 2014

Toward Local Failure Local Recovery Resilience Model using MPI-ULFM.

Keita Teranishi, Michael A. Heroux

Proceedings of the 21st European MPI Users' Group Meeting, 2014

PDSEC Introduction and Committees.

Peter E. Strazdins, Raphaël Couturier, Michelle Mills Strout, Keita Teranishi, Thomas Rauber, Gudula Rünger, Laurence T. Yang

Proceedings of the 2014 IEEE International Parallel & Distributed Processing Symposium Workshops, 2014

An evaluation of lazy fault detection based on Adaptive Redundant Multithreading.

Saurabh Hukerikar, Keita Teranishi, Pedro C. Diniz, Robert F. Lucas

Proceedings of the IEEE High Performance Extreme Computing Conference, 2014

Opportunistic application-level fault detection through adaptive redundant multithreading.

Saurabh Hukerikar, Pedro C. Diniz, Robert F. Lucas, Keita Teranishi

Proceedings of the International Conference on High Performance Computing & Simulation, 2014

Extreme-Scale Viability of Collective Communication for Resilient Task Scheduling and Work Stealing.

Jeremiah J. Wilke, Janine Bennett, Hemanth Kolla, Keita Teranishi, Nicole Slattengren, John Floren

Proceedings of the 44th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2014

2011

A convergence improvement of the BSAIC preconditioner by deflation.

Ikuro Yamazaki, Hiroto Tadano, Tetsuya Sakurai, Keita Teranishi

JSIAM Lett., 2011

2010

Parallel Hybrid Preconditioning: Incomplete Factorization with Selective Sparse Approximate Inversion.

Padma Raghavan, Keita Teranishi

SIAM J. Sci. Comput., 2010

A block sparse approximate inverse with cutoff preconditioner for semi-sparse linear systems derived from Molecular Orbital calculations.

Ikuro Yamazaki, Masayuki Okada, Hiroto Tadano, Tetsuya Sakurai, Keita Teranishi

JSIAM Lett., 2010

Software Automatic Tuning: Concepts and State-of-the-Art Results.

Reiji Suda, Ken Naono, Keita Teranishi, John Cavazos

Proceedings of the Software Automatic Tuning, From Concepts to State-of-the-Art Results, 2010

2004

Parallel Hybrid Sparse Solvers Through Flexible Incomplete Cholesky Preconditioning.

Keita Teranishi, Padma Raghavan

Proceedings of the Applied Parallel Computing, 2004

Towards a Grid enabled system for multicomponent materials design.

Keita Teranishi, Padma Raghavan, Zi-Kui Liu

Proceedings of the 4th IEEE/ACM International Symposium on Cluster Computing and the Grid (CCGrid 2004), 2004

2003

A latency tolerant hybrid sparse solver using incomplete Cholesky factorization.

Padma Raghavan, Keita Teranishi, Esmond G. Ng

Numer. Linear Algebra Appl., 2003

Time-Memory Trade-Offs Using Sparse Matrix Methods for Large-Scale Eigenvalue Problems.

Keita Teranishi, Padma Raghavan, Chao Yang

Proceedings of the Computational Science and Its Applications, 2003

2002

A new data-mapping scheme for latency-tolerant distributed sparse triangular solution.

Keita Teranishi, Padma Raghavan, Esmond G. Ng

Proceedings of the 2002 ACM/IEEE conference on Supercomputing, 2002

A Combinatorial Scheme for Developing Efficient Composite Solvers.

Sanjukta Bhowmick, Padma Raghavan, Keita Teranishi

Proceedings of the Computational Science - ICCS 2002, 2002

2001

Scalable Preconditioning Using Incomplete Factors.

Keita Teranishi, Padma Raghavan, Esmond G. Ng

Proceedings of the Tenth SIAM Conference on Parallel Processing for Scientific Computing, 2001