Scalable Preconditioning Using Incomplete Factors. - Keita Teranishi; Padma Raghavan; Esmond G. Ng (PP, 2001)

A Combinatorial Scheme for Developing Efficient Composite Solvers. - Sanjukta Bhowmick; Padma Raghavan; Keita Teranishi (International Conference on Computational Science (2), 2002)

A new data-mapping scheme for latency-tolerant distributed sparse triangular solution. - Keita Teranishi; Padma Raghavan; Esmond G. Ng (SC, 2002)

Time-Memory Trade-Offs Using Sparse Matrix Methods for Large-Scale Eigenvalue Problems. - Keita Teranishi; Padma Raghavan; Chao Yang 001 (ICCSA (1), 2003)

A latency tolerant hybrid sparse solver using incomplete Cholesky factorization. - Padma Raghavan; Keita Teranishi; Esmond G. Ng (Numer. Linear Algebra Appl., 2003)

Towards a Grid enabled system for multicomponent materials design. - Keita Teranishi; Padma Raghavan; Zi-Kui Liu (CCGRID, 2004)

Parallel Hybrid Sparse Solvers Through Flexible Incomplete Cholesky Preconditioning. - Keita Teranishi; Padma Raghavan (PARA, 2004)

Software Automatic Tuning: Concepts and State-of-the-Art Results. - Reiji Suda; Ken Naono; Keita Teranishi; John Cavazos (Software Automatic Tuning, From Concepts to State-of-the-Art Results, 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)

Parallel Hybrid Preconditioning: Incomplete Factorization with Selective Sparse Approximate Inversion. - Padma Raghavan; Keita Teranishi (SIAM J. Sci. Comput., 2010)

A convergence improvement of the BSAIC preconditioner by deflation. - Ikuro Yamazaki; Hiroto Tadano; Tetsuya Sakurai; Keita Teranishi (JSIAM Lett., 2011)

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 (DSN, 2014)

Opportunistic application-level fault detection through adaptive redundant multithreading. - Saurabh Hukerikar; Pedro C. Diniz; Robert F. Lucas; Keita Teranishi (HPCS, 2014)

An evaluation of lazy fault detection based on Adaptive Redundant Multithreading. - Saurabh Hukerikar; Keita Teranishi; Pedro C. Diniz; Robert F. Lucas (HPEC, 2014)

PDSEC Introduction and Committees. - Peter E. Strazdins; Raphaël Couturier; Michelle Mills Strout; Keita Teranishi; Thomas Rauber; Gudula Rünger; Laurence T. Yang (IPDPS Workshops, 2014)

Toward Local Failure Local Recovery Resilience Model using MPI-ULFM. - Keita Teranishi; Michael A. Heroux (EuroMPI/ASIA, 2014)

Fault Tolerance in an Inner-Outer Solver: A GVR-Enabled Case Study. - Ziming Zheng; Andrew A. Chien; Keita Teranishi (VECPAR, 2014)

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 (HPDC, 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 (FTXS@HPDC, 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 002; Kamil Iskra; Zachary A. Rubenstein; Ziming Zheng; Rob Schreiber; Jeff R. Hammond; James Dinan; et al. (ICCS, 2015)

PDSEC Introduction and Committees. - Peter E. Strazdins; Raphaël Couturier; Keita Teranishi; John O'Donnell 001; Thomas Rauber; Gudula Rünger; Laurence T. Yang (IPDPS Workshops, 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 (SC, 2015)

Practical scalable consensus for pseudo-synchronous distributed systems. - Thomas Hérault; Aurélien Bouteiller; George Bosilca; Marc Gamell; Keita Teranishi; Manish Parashar; Jack J. Dongarra (SC, 2015)

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 (ICPP Workshops, 2016)

PDSEC Introduction and Committees. - Peter Strazdins; Raphaël Couturier; Keita Teranishi; Alan Gray; Thomas Rauber; Gudula Rünger; Laurence T. Yang (IPDPS Workshops, 2016)

Introduction to PDSEC Workshop. - Peter E. Strazdins; Keita Teranishi; Raphaël Couturier; Joseph Antony; Thomas Rauber; Gudula Rünger; Laurence T. Yang (IPDPS Workshops, 2017)

Exploring versioned distributed arrays for resilience in scientific applications. - Andrew A. Chien; Pavan Balaji; Nan Dun; Aiman Fang; Hajime Fujita 002; Kamil Iskra; Zachary A. Rubenstein; Ziming Zheng; Jeff R. Hammond; Ignacio Laguna; D. Richards; Anshu Dubey; et al. (Int. J. High Perform. Comput. Appl., 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)

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 Data Resilience for In-memory Data Staging. - Shaohua Duan; Pradeep Subedi; Keita Teranishi; Philip E. Davis; Hemanth Kolla; Marc Gamell; Manish Parashar (IPDPS, 2018)

Introduction to PDSEC 2018 and Keynotes. - Peter Strazdins; Keita Teranishi; Raphaël Couturier; Joseph Antony; Thomas Rauber; Gudula Rünger; Laurence T. Yang (IPDPS Workshops, 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)

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 (Euro-Par, 2019)

Parameter Sensitivity Analysis of the SparTen High Performance Sparse Tensor Decomposition Software. - Jeremy M. Myers; Daniel M. Dunlavy; Keita Teranishi; David S. Hollman (HPEC, 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 (HPEC, 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 (FTXS@SC, 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 (ExaMPI@SC, 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)

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)

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)

Towards High Performance Resilience Using Performance Portable Abstractions. - Nicolas M. Morales; Keita Teranishi; Bogdan Nicolae; Christian Trott; Franck Cappello (Euro-Par, 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)

Assembling Portable In-Situ Workflow from Heterogeneous Components using Data Reorganization. - Bo Zhang 120; Pradeep Subedi; Philip E. Davis; Francesco Rizzi; Keita Teranishi; Manish Parashar (CCGRID, 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 (CLUSTER, 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; et al. (Int. J. High Perform. Comput. Appl., 2022)

Optimizing Data Movement for GPU-Based In-Situ Workflow Using GPUDirect RDMA. - Bo Zhang 120; Philip E. Davis; Nicolas M. Morales; Zhao Zhang; Keita Teranishi; Manish Parashar (Euro-Par, 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 (ICPP, 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 (ICPP Workshops, 2023)

CHARM-SYCL: New Unified Programming Environment for Multiple Accelerator Types. - Norihisa Fujita; Beau Johnston; Ryohei Kobayashi 001; Keita Teranishi; Seyong Lee; Taisuke Boku; Jeffrey S. Vetter (SC Workshops, 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 (SC Workshops, 2023)

Analyzing the Performance Portability of Tensor Decomposition. - S. Isaac Geronimo Anderson; Keita Teranishi; Daniel M. Dunlavy; Jee Choi (CoRR, 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)

CHARM-SYCL & IRIS: A Tool Chain for Performance Portability on Extremely Heterogeneous Systems. - Norihisa Fujita; Beau Johnston; Narasinga Rao Miniskar; Ryohei Kobayashi 001; Mohammad Alaul Haque Monil; Keita Teranishi; Seyong Lee; Jeffrey S. Vetter; Taisuke Boku (e-Science, 2024)

Dual Channel Dual Staging: Hierarchical and Portable Staging for GPU-Based In-Situ Workflow. - Bo Zhang 120; Philip E. Davis; Zhao Zhang; Keita Teranishi; Manish Parashar (HiPC, 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 (HPC Asia, 2024)

IRIS-MEMFLOW: Data Flow-Enabled Portable Memory Orchestration in IRIS Runtime for Diverse Heterogeneity. - Mohammad Alaul Haque Monil; Narasinga Rao Miniskar; Seyong Lee; Beau Johnston; Pedro Valero-Lara; Aaron R. Young; Keita Teranishi; Jeffrey S. Vetter (HPEC, 2024)

JACC.shared: Leveraging HPC Metaprogramming and Performance Portability for Computations That Use Shared Memory GPUs. - Pedro Valero-Lara; William F. Godoy; Keita Teranishi; Jeffrey S. Vetter (HPEC, 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 (IPDPS (Workshops), 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 (IPDPS (Workshops), 2024)

Toward Automated Detection of Portability Bugs in Kokkos Parallel Programs. - Vivek Kale; Hanru Yan; Shyamali Mukherjee; Jackson R. Mayo; Keita Teranishi; Richard Rutledge; Alessandro Orso (SC Workshops, 2024)

JACC: Leveraging HPC Meta-Programming and Performance Portability with the Just-in-Time and LLVM-based Julia Language. - Pedro Valero-Lara; William F. Godoy; Het Mankad; Keita Teranishi; Jeffrey S. Vetter; Johannes P. Blaschke; Michel Schanen (SC Workshops, 2024)

ChatBLAS: The First AI-Generated and Portable BLAS Library. - Pedro Valero-Lara; William F. Godoy; Keita Teranishi; Prasanna Balaprakash; Jeffrey S. Vetter (SC Workshops, 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 (WAMTA, 2024)

Interface for Sparse Linear Algebra Operations. - Ahmad Abdelfattah; Willow Ahrens; Hartwig Anzt; Chris Armstrong; Ben Brock; Aydin Buluç; Federico Busato; Terry Cojean; Timothy A. Davis 001; Jim Demmel; Grace Dinh; David Gardener; et al. (CoRR, 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., 2024)

IRISX: A Dynamic Trade-off System for Harnessing Heterogeneity for Performance Portability. - Sanil Rao; Mohammad Alaul Haque Monil; Het Mankad; Narasinga Rao Miniskar; Keita Teranishi; Jeffrey S. Vetter; Franz Franchetti (IPDPS (Workshops), 2025)

Leveraging AI for Productive and Trustworthy HPC Software: Challenges and Research Directions. - Keita Teranishi; Harshitha Menon; William F. Godoy; Prasanna Balaprakash; David Bau; Tal Ben-Nun; Abhinav Bhatele; Franz Franchetti; Michael E. Franusich; Todd Gamblin; Giorgis Georgakoudis; Tom Goldstein; et al. (CoRR, 2025)