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Jack Dongarra Credit: Tara Kneiser

Jack Dongarra

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DONGARRA@CS.UTK.EDU

All Publications

Investigating power capping toward energy‐efficient scientific applications
Experiences in autotuning matrix multiplication for energy minimization on GPUs
A scalable approach to solving dense linear algebra problems on hybrid CPU-GPU systems...
Towards Batched Linear Solvers on Accelerated Hardware Platforms
Acceleration of GPU-based Krylov solvers via data transfer reduction
Exascale Computing and Big Data
On the Design, Development, and Analysis of Optimized Matrix-Vector Multiplication Routines for Coprocessors...
Batched matrix computations on hardware accelerators based on GPUs
A Framework for Batched and GPU-Resident Factorization Algorithms Applied to Block Householder Transformations
Heterogenous Acceleration for Linear Algebra in Multi-coprocessor Environments
HPC Programming on Intel Many-Integrated-Core Hardware with MAGMA Port to Xeon Phi...
BlackjackBench: Portable Hardware Characterization

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Dongarra elected to National Academy of Sciences

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Dongarra named Turing Award recipient for advances in high-performance computing, AI

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Dongarra Named a Foreign Fellow of the Royal Society
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