DEVELOPER TOOLS Conferences Posters

Check out this collection of posters on how developers are accelerating their work with the power of GPUs.

Accelerating Advanced Numerical Algorithms For Current and Next Generations of Ground-based Telescopes
Accelerating Advanced Numerical Algorithms For Current and Next Generations of Ground-based Telescopes

Hatem Ltaief, Senior Research Scientist, KAUST

Accelerating Reduction and Scan Using Tensor Core Units
GPU-Based Tucker Decomposition for Compressing Seismic Imaging Applications

Hatem Ltaief, Senior Research Scientist, KAUST

GPU-Based Tucker Decomposition for Compressing Seismic Imaging Applications
Accelerating Reduction and Scan Using Tensor Core Units

Abdul Dakkak,  Student, University of Illinois at Urbana-Champaign

Optimizing Batch HGEMM on Small Sizes Using Tensor Cores
Optimizing Batch HGEMM on Small Sizes Using Tensor Cores

Ahmad Abdelfattah, Research Scientist, University of Tennessee

Out-of-Core Join Processing on Multi-GPU Platforms
Out-of-Core Join Processing on Multi-GPU Platforms

Ran Rui, Research Scientist, University of South Florida

OzBLAS: Accurate and Reproducible BLAS Based on Ozaki Scheme
OzBLAS: Accurate and Reproducible BLAS Based on Ozaki Scheme

Daichi Mukunoki, Postdoctoral Research Fellow, Tokyo Woman's Christian University

The Fast Algorithm for Free Surface Temperature Lattice-Boltzmann Method
The Fast Algorithm for Free Surface Temperature Lattice-Boltzmann Method

Andrey Zakirov, Researcher, Kintech Lab Ltd.

Algorithms and Framework for Computing 2-body Statistics on GPUs
Algorithms and Framework for Computing 2-body Statistics on GPUs

Napath Pitaksirianan, Research Assistant, University of South Florida  

Effective Parallelization of Belief Propagation on the GPU
Effective Parallelization of Belief Propagation on the GPU

Mark Van der Merwe, REU Researcher, University of Utah

Abstractions and Directives for Adapting Wavefront Algorithms to Future Architectures
Abstractions and Directives for Adapting Wavefront Algorithms to Future Architectures

Robert Searles, Research Assistant, PhD Candidate, University of Delaware  

Accelerating Advanced Numerical Algorithms For Current and Next Generations of Ground-based Telescopes
GPU-Based Tucker Decomposition for Compressing Seismic Imaging Applications
Accelerating Reduction and Scan Using Tensor Core Units
Optimizing Batch HGEMM on Small Sizes Using Tensor Cores
Out-of-Core Join Processing on Multi-GPU Platforms
OzBLAS: Accurate and Reproducible BLAS Based on Ozaki Scheme
The Fast Algorithm for Free Surface Temperature Lattice-Boltzmann Method
Algorithms and Framework for Computing 2-body Statistics on GPUs
Effective Parallelization of Belief Propagation on the GPU
Abstractions and Directives for Adapting Wavefront Algorithms to Future Architectures
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