Keita Teranishi

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 42

Top Topics

Tensor Decomposition

Distributed Systems

Fault Tolerance

Top Venues

IPDPS Workshops

Int. J. High Perform. Comput. Appl.

Publications

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)
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)
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)
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)
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 (2023)
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)
S. Isaac Geronimo Anderson, Keita Teranishi, Daniel M. Dunlavy, Jee Choi
Analyzing the Performance Portability of Tensor Decomposition. CoRR (2023)
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 (2023)
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)
Bo Zhang, Philip E. Davis, Nicolas Morales, Zhao Zhang, Keita Teranishi, Manish Parashar
Optimizing Data Movement for GPU-Based In-Situ Workflow Using GPUDirect RDMA. Euro-Par (2023)
Nigel Tan, Jakob Lüttgau, Jack Marquez, Keita Teranishi, Nicolas Morales, Sanjukta Bhowmick, Franck Cappello, Michela Taufer, Bogdan Nicolae
Scalable Incremental Checkpointing using GPU-Accelerated De-Duplication. ICPP (2023)
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)
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)
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) (2022)
Matthew Whitlock, Nicolas 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)
Nicolas Morales, Keita Teranishi, Bogdan Nicolae, Christian Trott, Franck Cappello
Towards High Performance Resilience Using Performance Portable Abstractions. Euro-Par (2021)
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)
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 (2020)
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)
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)
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)
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 (2020)
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)
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) (2020)
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 (2020)
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)
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) (2018)
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)
Peter Strazdins, Keita Teranishi, Raphaël Couturier, Joseph Antony, Thomas Rauber, Gudula Rünger, Laurence T. Yang
Introduction to PDSEC 2018 and Keynotes. IPDPS Workshops (2018)
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) (2017)
Peter E. Strazdins, Keita Teranishi, Raphaël Couturier, Joseph Antony, Thomas Rauber, Gudula Rünger, Laurence T. Yang
Introduction to PDSEC Workshop. IPDPS Workshops (2017)
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)
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) (2017)
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)
Peter Strazdins, Raphaël Couturier, Keita Teranishi, Alan Gray, Thomas Rauber, Gudula Rünger, Laurence T. Yang
PDSEC Introduction and Committees. IPDPS Workshops (2016)
Saurabh Hukerikar, Keita Teranishi, Pedro C. Diniz, Robert F. Lucas
RedThreads: An Interface for Application-level Fault Detection/Correction through Adaptive Redundant Multithreading. CoRR (2016)
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)
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)
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)
Peter E. Strazdins, Raphaël Couturier, Keita Teranishi, John O'Donnell, Thomas Rauber, Gudula Rünger, Laurence T. Yang
PDSEC Introduction and Committees. IPDPS Workshops (2015)
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)
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)
Saurabh Hukerikar, Pedro C. Diniz, Robert F. Lucas, Keita Teranishi
Opportunistic application-level fault detection through adaptive redundant multithreading. HPCS (2014)
Ziming Zheng, Andrew A. Chien, Keita Teranishi
Fault Tolerance in an Inner-Outer Solver: A GVR-Enabled Case Study. VECPAR (2014)
Peter E. Strazdins, Raphaël Couturier, Michelle Mills Strout, Keita Teranishi, Thomas Rauber, Gudula Rünger, Laurence T. Yang
PDSEC Introduction and Committees. IPDPS Workshops (2014)
Saurabh Hukerikar, Keita Teranishi, Pedro C. Diniz, Robert F. Lucas
An evaluation of lazy fault detection based on Adaptive Redundant Multithreading. HPEC (2014)
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)
Keita Teranishi, Michael A. Heroux
Toward Local Failure Local Recovery Resilience Model using MPI-ULFM. EuroMPI/ASIA (2014)
Ikuro Yamazaki, Hiroto Tadano, Tetsuya Sakurai, Keita Teranishi
A convergence improvement of the BSAIC preconditioner by deflation. JSIAM Lett. 3 (2011)
Padma Raghavan, Keita Teranishi
Parallel Hybrid Preconditioning: Incomplete Factorization with Selective Sparse Approximate Inversion. SIAM J. Sci. Comput. 32 (3) (2010)
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 (2010)
Keita Teranishi, Padma Raghavan, Zi-Kui Liu
Towards a Grid enabled system for multicomponent materials design. CCGRID (2004)
Keita Teranishi, Padma Raghavan
Parallel Hybrid Sparse Solvers Through Flexible Incomplete Cholesky Preconditioning. PARA (2004)
Padma Raghavan, Keita Teranishi, Esmond G. Ng
A latency tolerant hybrid sparse solver using incomplete Cholesky factorization. Numer. Linear Algebra Appl. 10 (5-6) (2003)
Keita Teranishi, Padma Raghavan, Chao Yang
Time-Memory Trade-Offs Using Sparse Matrix Methods for Large-Scale Eigenvalue Problems. ICCSA (1) (2003)
Sanjukta Bhowmick, Padma Raghavan, Keita Teranishi
A Combinatorial Scheme for Developing Efficient Composite Solvers. International Conference on Computational Science (2) (2002)
Keita Teranishi, Padma Raghavan, Esmond G. Ng
A new data-mapping scheme for latency-tolerant distributed sparse triangular solution. SC (2002)
Keita Teranishi, Padma Raghavan, Esmond G. Ng
Scalable Preconditioning Using Incomplete Factors. PPSC (2001)